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Is there already in second is on Carlos Baron. Are you listening? Yeah. And Hooray Carlyle is after and the first speaker.

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So Paulo is not yet here, but we can start. And I suggest to Do we have 15 min, flexible 15 min?

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And when you are right to 15 min, I will say, Okay and then we can make questions and answers after or we can put the questions and answer for the at the end, okay?

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So Aaron, the floor is yours. And Go and we will see your presentation Thank you for being there.

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Okay.

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Thank you very much. Is it good day Audio?

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Perfect, it's okay.

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Thank you. Perfect. Okay, well, welcome everyone. Thank you for being here.

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Even if it's a little bit early, there in Australia, ratings from Mexico. My name is, I'm gonna be talking about, surveillance capitalism as a self organization and complex process.

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So for the beginning we have to understand some steps.

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Okay, right now, the current situation over the web. Is that we have a non-stop growth of information.

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This flow of information is is a continuous process. But that has increased from the pandemic time, from, that we all know from a few years ago.

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And up to the most recent interaction via artificial intelligence. This process that we have right now. Our constantly growing and giving more information about what we do, what we start to think about.

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What we, what we create, within the internet. With these with different missing tools that not always are on our favor.

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Let's understand that with every second, up to every one of us spends, up to 151 min per day via social media.

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This has also increased the the use of smartphones that we have already the size of our power We have in almost, 24 h at our disposal.

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And this, keeps leaving a trace of metadata that could be traced. It's used by the capitalism of civilians.

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To make personalized marketing. And the sponsors that could use this information to especially. There are so things items and information to us to what we do to what we expect to what we try to to understand but to who we are.

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There are some experiments that are constantly being made in the university. Now we try to talk within the university.

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Now we try to talk within made in the university. Now we try to talk within ourselves a topic by a bicycle.

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When we talk about this, the our smartphones or smart devices keep recording this information and this invention of us.

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To try to go and buy a bicycle. So within the next few days, we are gonna have personalized marketing that will be showing constantly the best and the better options for the bicycle and this applies for almost every interaction with me and we don't have to do it.

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Directly with their cell phone. It's no longer just like, all the search.

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All the searches that we do like in motors like being or googled, but it's also made by an indirect.

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We are in with this smartphone. They keep recording us and sometimes even the images are where we, when we are, where we are and with whom we are.

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So we can keep this flow of information and keep it very personalized. We have to say that this is a process that is mostly self-imposed because we always accept the terms and conditions from every service of per page we use from the way.

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When we don't have a new application when we try to use a new platform, we always have this display of large rules and terms that we have to except in order to keep using that service or that platform.

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So we have always the option to not accept them, but now we are not, no, we are no longer connected with the rest of the world.

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So most of the people who use this don't, read even the what the terms of information.

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What is the program? That with this flow of information within the surveillance capitalism. Has become a complex system.

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Here is, his wife. It keeps some interconnectivity. A feedback and adaptability.

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No linear properties and a cell organization properties. And the connectivity is that they it keeps sending and receiving information.

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What we usually know as cookies that we accept, in order to have to access some web page.

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This cookies keep traces of what and where we come from to that page. So we got an access news portal from Twitter or Facebook or even from a from a link that we from each other from our chat.

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Well, we keep the traces and how we are getting there. I mean if we keep sharing this information and how many people get there be, by, by our recommendation.

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The feedback by the and is centralized but by some companies. II sponsor ads or Google apps.

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That keeps the trace of this information and trying to keep on, what is What is constantly evolving from our activity on the internet?

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It is a system that keeps an availability because as we know it has it hasn't been like a plan like what we could see a bigger plan of what we're going to do with these platforms they don't usually get to.

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To try to understand the people. And and to plan while they are next section are they just keep growing they just keep accepting new new users on the He can keep a trace.

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Even with the federal commission that tried to stop this like the more recent cases like Discord.

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That they could trade some military documents. They keep adapting. We can see that. Almost no, not platform on the latest years have been has disappeared.

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From our We keep showing them, we keep them in mind. There, there may be some, contractions and limits that are imposed.

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Mostly imposed by the What we can see the social flow of the moment like the images that they can share or like with the case of Twitter, now these cases show that.

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As long as they keep political relevance and they tried to get an objectivity on their affairs.

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But it is always compelled. To any action from outside and it will be I mean it will Eventually, for example, the about, splitter from Elon Musk, it doesn't disappear as we know it.

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Some people try to to a that won't happen. It has a nonlinear properties because it keeps growing and the, and the system Those does not seem to be effective.

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By this flow by this complete flow of new properties that keep emerging. That is what we're calling complex system.

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The emergence of this, of this situation and and the emergence of the specifically of what the people do with those platforms.

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And most importantly, it keeps a failed organization. Once again, it adapts by itself. It doesn't need, to or influence from the outside.

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To keep that organization. It just keeps growing and it keeps adapting as long as some platform and applications keep losing relevance.

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There always be another one and there is some resilience that will though some platforms over on their own.

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I know what we could see on the self organization part. It is a centralized search because we know in it cannot be seen like there is a big brother who keeps the showing and testing and determining which a platform or applications are gonna be the most relevant.

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Yes, there are some forms to But we did marketing. We could keep like something like Facebook or Twitter off to the center of the relevance, but it's not always like that.

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For example, the case of TikTok, that it keeps trying to get banned.

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On the us He doesn't compel and he doesn't shows that way. It's interesting because It's also apart from the militars that they kept down running from other pages and from other sources.

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The access to TikTok, even if they don't. Even if it's for even actually for the organization.

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As I said, it's a resilience. It's a resilient organization because it could disappear some notes of information they could disappear the relevance from or banning from some platforms even us as a user we could do the relevance and we could use the access But we are resilient between these platform and

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access. We kept showing ways to keep the access. And the platform, learns. How to keep relevance.

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Within this topic time that is always changing, this level of information that we keep on ourselves.

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And the latest, it has been improved by the artificial intelligence. And I get to say, specifically in this point.

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It's not, some years ago, some months ago we was the flow, the mega trending or what the technology could achieve with this.

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With this improve. Artificial intelligence that keeps You've been keep using in almost all aspects of our life.

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Some images can already be done by by by by artificial intelligence. That works, academic works.

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Homework for university and college student that almost there were some people that, predict that the AI will take over.

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Even the creativity from ourselves. But what we have seen on the latest on the latest times is that the artificial intelligence is no longer that center of information and unique center of information, but rather it is an for what we know of the algorithm.

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Well, and it can improve some interaction but is no longer the center of all the interactions in the in the

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Next we have to consider the self-inflicted, the self inflicter surveillance.

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We have now self-imposed rules. Because of the native interaction of concept, interaction on these platforms, we can see that the, we tried to focus on these rules to not get banned.

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To not be outcast from these websites. Not to be shown. Like this comes a cancellation.

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Social movement that we are with nearby. We kept with this, with it self-implate, within ourselves because we are we are afraid of the consequences or what is going to happen.

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Within this, we, it's constantly usual that as soon as we don't get the interaction or the feedback that we like from our social media.

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We constantly take it back. Just disappear from. Just take a step back from, eliminate or comments or publications and each, and this is a pandemic that has been shared, on all of them, all of all social media and it's all also being present a constant in our social ability to contact

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with the others what we can do, what we can say, what we can express from ourselves and from our opinions.

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We keep, we kept on these constant surveillance from ourselves and we keep another surveillance on the others.

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So whenever we have a report or a focus on a negative interaction in social media. We are giving more information of what we don't like.

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But also how we are gonna interact. And I and I would say that this is the latest form the Disney or Netflix HBO or some media makers.

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Have been doing because they try to, gain our attention. By not giving good content and keep on sharing and getting But it keeps being an interaction.

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So this give us an interaction. So, er, this, give us a, nearby on which we have the perfect society, the West Connected society that we have the perfect society, the best connecting society that we have ever have seen on the of human life.

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So both we no longer have the the freedom of speech. More, more importantly, a critical part for ourselves from the interaction on the official level.

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So we now have. We have to save different. We have a lot of work to do.

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That we can improve from ourselves and I think that on the last business meeting the the recommendation that we have to.

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To start a new seminar. Or artificial intelligence and these emergence technologies, we have to be even a constant analysis of the social and technologies interaction were no longer disconnected one from each other.

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Even the poorest countries have now, constant access to the internet and the people keeps keeps growing on axis.

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Even by the by themselves showing this resilience and organization properties like what we have already discussed. The feedback and growth that keeps going from the personal and private part to the company's corporation and what they are using this information because at the end of the very last day at the very end of the day we are the ones that are training this

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artificial intelligence that give, this artificial intelligence that give, this artificial intelligence that gives, resolving a monetary gain to the companies, but we are no longer seeing what, we have to keep an eye on the new technologies and interconnection because by this moment, some things like the quantum,

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computing that is going to revolutionize, over the next, the next years in the next few years.

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It's gonna keep, flow of information even more. They media and it's gonna He's trying to adapt even from the for the future interactions.

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Be prepared to whatever we have to do. And we have to, this tendency to have displayability over all the information and all the interaction that are going to occur.

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We have to keep an open debate over the ethical, particularly the privacy consideration and its social impact.

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We are we no longer have a private life. Whatever we do on the internet, you need to trace an internet that could be used against us.

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What is mostly your you said. On what to sell to us. And reflect over the geology and manipulation that these companies kept and that we or self And even from other social groups, we try to get, this ideology we have to impose our point of view or form of life that is no longer an notropy and has become

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a these are some of the reference that I have used for these. From this presentation and I hope.

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We'll get some some from you and thank you for your attention.

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Thank you very much. Okay, so is now the time for questions. Any questions here? Mikhail, go.

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Okay, you can you can Talk use your micro

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Mikael, yeah.

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Okay, yes. Sorry, I had a glitch in the audio connection. Yes, thank you so much for the presentation.

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I posted my question on the chat as well. So. But it is that what concepts would you use to examine the sort of anticipation and

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Speech.

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And filtering. Based on the constant surveillance or

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Or all the things you basically presented.

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Yeah, so I was wondering whether it's still feedback or something else. Thank you.

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Yeah. I don't, I don't, you can fill an atpicentafion.

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Okay, thank you. So.

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So I would say that this kept as the as the Today as a present, I would say that it's still a feedback.

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Because even they even if they try to reach a point or when they can manipulate even if with this complex system and with this complex theory that they try to keep creating and anticipate the future.

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It's also an open. It's a been an open interaction and chaotic interaction.

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So they cannot predict almost all of the interactions that are going to be and we still receiving as a feedback of what really happens against what they anticipate in what happened.

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Okay, Fabio?

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Okay, and as total can hear

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Thank you for the presentation. Hi. My question is from a theoretical point of view.

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You, you mentioned a couple of times about the self. Set of organization and serve infected.

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So I wonder what does the serve mean when you mention the STEM organization? I guess is a kind of system or networking can I have a a similar explanation on this point?

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Okay, thank you for the question. What I mean about this social organization is mostly actively applied to the

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To the system by itself. On the I have one system that is inside our social system and most particularly on the web.

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System. So whenever we have this interaction, it kept, instead of self-ing.

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On the spaces where these interactions keep shown. For example, we used to have, more, more access to let's say like a big web or some phones that

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Who interacted. Some years ago. But now these spaces are also being inflicted by the By ways to trace this information and how we interact with that system.

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So I would say that the self organization of the surveillance capitalism has introduced itself to any. Interaction that we have even if we have or not.

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Device nearby to us. It can show in a way to to learn. These, the activities, how to improve itself.

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Okay, thank you.

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Krista has another question. And I think

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Hello, hello Aaron. Thank you very much for your presentation. Self-inflected surveillance.

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And self-impose rules. So. If you could go a little bit again on that because II don't know if I understood well your your approach.

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I don't know at what level if you are talking at an individual level, societal level.

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So if you could clarify, I will appreciate. Thanks.

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Thank you very much. Yes, I would say that it is on both levels. For many people and to social level.

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And even for the notes that are inside each one and we are we could talk about micro-level or micro-level now we can talk about the interaction that we have between us on the 51.

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Well, the thing is, another pandemic that we kept suffering. Is a depression and anxiety.

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This social anxiety of what what our interaction within the web with all their system in and the consequences are it's going to have is part of this.

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Self, for billions that we have, we kept trying to understand.

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To predict, just after the companies to predict what the impact of what we talk of, what we do, or what we stop doing is gonna have on the entirety.

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But we are not computers. We are not, these macrosystem, self-, Yeah, that could be a another.

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Yeah, and that could be for further works would we don't have that power to anticipate yet what our interaction would have and I would say that on both levels we kept these surveillance and also in this Conflict with other social groups to try to have the last work.

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And that is the constant. On social media. You always, you can always pick a fight with anyone on social media.

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That you have internet connection.

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Okay, thank you. Thank you very much for the explanation. Yes. So I think we are on time and we go to the next speaker.

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Thank you very much. Maybe the next time we will see in person face to face nobody this computer and now is the is a kangaroo of Baron the next speaker When choose your turn you have the you share your screen

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It's okay, yeah.

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Yeah.

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So you have Yeah, you have to go to a full screen.

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Yeah. Yeah.

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No yet. Yeah, now it's okay. So you have 15 min flexible and Go ahead.

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That's one.

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Well, thank you. Thank you. Chimney. It's always pleasure to

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To be here even we are not And presence we can connect. That's good. The good side of surveillance and Ditch it, capitalism is that we can be connected.

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Even though here it's still Friday. And thank you very much for. For for being here for this presentation.

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I would like to start with. With a question from Mikaela about the anticipation because of this we call me, well, a few years ago, I don't know.

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How many years now? Because everything is confusing with with the pandemics but a few years ago, Chymei, and I, we went to to participate in a in a conference on anticipation studies.

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And we met in, And we have very good. Conversations about different Dimensions of feedback on I feel forward and anticipating the studies in biology.

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And, and inside the Bronx is becoming more and more interesting because of, this ability that, machines are developing to anticipate.

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And their behavior of users, with, mainly with, marketing purposes, both.

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A also as we are now suffering worldwide. Also with political purposes. So something that I'm going to present here is about polarization.

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And how virtual communities are becoming. And, Fourized and this is a study. Process but I'm I'm perceiving that this anticipating programs within the apps are part of the problem.

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Oh, well, what I'm going to try to present here, I know. And I will try to keep into the 15 min.

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But it's something that I have been presented in last 8 years. It's about But,

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With certain discussion, of course, it's not a concept, the CC discussion. What we are calling digital capitalism.

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Us or away and That's we see, the structural tendencies of capitalism working.

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A within the digital technologies and mediation. For critical societies. It's particularly important to understand this.

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Because the mediation is, becoming invisible. At least during the interaction and so because of that.

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Even people being aware or conscious. That, we are. Savina and an intermediate between every conversation in the internet or in every app.

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Facebook, WhatsApp. Any app, zoom of course. We forget it when we are having the interaction and so this is very helpful for the for internal mediation second.

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The other interim one interpretation is about marketing purposes and commerce and trade. And on the other hand, the other part of the intermediation in invisible intimidation is a Eric, what?

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Surveillance capitalism that already explained. Hey, what I'm trying to understand is how within the programmatic fields of, er, entertainment and information.

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Is becoming more and more useful. The the role of the in business in invisible intermediate and how we

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In here or in making bring in within us the the information of being by by by ourselves are promoting and and becoming not only the commodity of the product within Dichital capitalism, but also becoming the policeman there the the person that is always aware of what's going on there.

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Becoming a kind of a a moral police that always aware of who is, insulting someone who is not being politically correct who is using a sentence or being or something.

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So, this is creating a

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The first thing we have to say is on the on the one hand in the from the pandemic through the Ukrainian war.

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We are seeing how. The company is related. To, media. And a digital capitalism.

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I growing at the same level than banking. And wait on industries. And well, I'm working with, with, 2 case studies that I don't, I'm not sure.

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I would be able to present here. Because I went to focus on the on the theoretical statement.

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I'm whereas some of you know we are working from the perspective of critical societies that is and an invention that we are working in.

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Trying to bring together aspects of critical theory with aspects of complexity and a cybernetic service.

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The first thing I want to talk a little bit is about, political polarization that is bringing A huge problem that we have seen in many presentations here also in the presentation that we have.

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And like a parallel presentation in Europe. There's a main. Occupation there there we are worried about how we are perceiving political polarization worldwide.

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And, Mexico is not the same, the same. We are working. Especially in the United States and we are seeing how we.

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The action of choosing a source or another source is becoming by itself a political act. Yeah, so deciding to inform yourself.

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In Telegram or to inform yourself in CNN. Or Fox News. Only by choosing the source you are also, attaching yourself to a certain political position.

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And so, well now that we are, in this propaganda war, of course.

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We are real world in war in Ukraine. What with a dimensional propaganda. Where Western sources are fighting.

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Together with Ukrainia. And a Russian sources are it's struggling too. Maintain.

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Put in Cisco's. We, we are being able to, perceive how.

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People is choosing. The sources. So because of that, we can we can also see.

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How are you? United States, if we if you Mmm, are like a more Republican. Or Trump and perspective then you will move into certain apps and into certain sources.

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You will have a certain selective attention to certain issues. And, because of that, It will be a cascade activation on the feeds that you will see, for example, in TikTok.

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Or is second. Of course, if you see TikTok or Instagram, you will see very different things if you if you put the same Hey, worth to look for.

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For example, if you put Paris in, in Instagram you will see. The Eiffel Tower and you will see a beautiful places to visit in Paris.

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But if you, er, get into Tik Tok and ask for Paris. What you will see is the riots.

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Because of the recent model. Committed by the police against a German. French and North African. Also, something very important for polarization is a priming.

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The preactivation that the what we are anticipating to find, which is very interesting. Here again with the question original question here.

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So, what are we anticipating or wanting to see? When we are looking for something. We get into an app when we get into a news.

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Website when we get into entertainment tab like Tik Tok or even a video game or a film when you get into Netflix to see.

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Program, TV show or film. What I do? Well, what are your expectations?

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And because of that then It would be, easy to anticipate if you would like or not.

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And you will have, a, they will tell you where this film is. 65%.

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Near to your choices or 90% to your choices. And so you will see, okay, so this is something I would like.

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And then you move in.

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As I will get into effective, behavioral impact hope so in the next. Frame.

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But, This is very important because when we are getting into the app and making our choices. We.

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Our first. Association.

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We'd be based on our collaborative emotional and I really and social abilities that we may have.

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2 Process. The, er, information we are, er, previously wanting to receive and Because of that, with having this.

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Idea that we are receiving exactly what we want. Or not. And if we go if we are having it.

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If we are having something that is matching our expectations. Then we will make the right associations and when we will adapt.

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In the more easy. This year, way. To, reproduce, our own.

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Hey. Political discourses that Hmm. Magically, are become, Very independent.

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Very, singular. Political discourse share. By millions. No, so I want to be very ironic here because the case here is that the psychopathic here is that we want to feel unique singular.

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Well, the way we match that. Is by filling the massive. No, feeling that we are sharing an experience.

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With a with a with with an artist or somehow an artist. And we are that. Our own, similar discourses to find this.

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When this is in a context of, which is something that I already present last year, this becomes a wonderful business a great business money and money and money because we are receiving this massive information and producing it.

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And by doing it Doesn't matter if red or blue. You produce this money. And you hate this, enterprises.

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2, find. Ways to anticipate. To sell and to do more marketing businesses. Related to your production.

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On the one hand and on the other hand You are creating a massive information. For what we call surveillance capitalism that our own has already His plane.

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So what I'm trying to see is how this information is if we can rely on it.

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And of course, the great people don't the massive, market. I don't care if it's reliable or not.

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It's about how they check with their previous What for us as sudden it We are, seeking to see.

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The transparency on the sources their verifiability of their data percentage. Their replicability which is mainly a problem of morning the bots how easy you can.

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And create a massive R of something or a video for example. And the durability of that video in the media because something that is something very common now.

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Is that we have certain things at home. That's a England date that the media for a moment for example a catastrophe or the submarine or the dam exploded in Ukrainia but they disappear magically very easily too because of the transformation of the information but there are some others that are becoming Like a low

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impact but very durable like I don't know, watching, doing. I don't know some elder mistakes or things like that.

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So what I am running out of time, but what I'm, what I'm bringing here is this, this reflection of a work on progress.

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How, this,

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Digital capitalism, surveillance, is working. Together for us to Yeah, create the world we are.

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We are becoming more polarized we are becoming more a prone to violence to we are becoming more prone to to social violence and social unrest.

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And I think that part of the problem is some of the of the issues I have. Bryant into this presentation so I will stop here because of time but I hope this can be helpful for your a study center.

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Thank you very much. Okay. So, Any question, any comment from the floor?

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Well, I have a comment and a suggestion. I listen in your speech, I think maybe it would be useful for you to apply the idea of affluent society of Kenneth.

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Oh yeah, the American-canadian economist, Young Kin, and he talked about affluent society for other reasons, but maybe you could apply the idea of affluent digital society to this and compare what means in for mimic.

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And a friend of digital and information. It's only a suggestion because I there are many possible ideas to connect and to use in this.

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Your particular approach and I don't know if any have a question here.

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Thank you.

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In the chat okay

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Well, Emerson, you can ask by yourself. Open your micro and talk. Peace.

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Okay, can you hear me?

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Yeah, okay. Oh.

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Yes.

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Okay. One. Do you think people nowadays are more polarized? Precisely because they have access to other perspectives that disagrees with their own beliefs and and opinions or in other words do you believe that the the growing visibility that we have today.

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Could be driving this phenomenon of polarization.

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Yeah, well, Ed, this is interesting because on the one hand yes, because every information we meet.

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. they have to be like a cartoon of, of reality.

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And so it, simplifies over simplifies something and so it is easy to match. With your stereotypes or easy to match.

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With your a previous IDEA sort of statements. That's why It's very important here to.

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To remember, that are showing us how the emotional response to to the first impact. That of a very simple image or or text that you met, you meet.

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The first impression the motion that is triggered by this Ken, high or or manipulate your abilities to think.

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About it and to to cross the border of the emotional response and in and to be able to, I don't know, to question and study.

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Instead of that, you try to reach as soon as possible. The answer to the answer and so because of that you come to conclusions very fast.

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And of course those conclusions? Oh. Magically correspond. To your previous ideas.

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And well, we cannot work with it. We need to, it requires a lot of work. Now to stop yourself from the first emotion.

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To think to, find. Different possibilities and then to come The conclusions before making your next tweet.

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But that will never happen. The you will react. And then because of that. Hey, the paradox is exactly what you're saying.

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Because of that, when we, are presented to something ridiculous from the opposite opposite group. I don't know if I am a person that I'm having racist ideas or homophobic ideas.

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And suddenly the anticipating machine shows me is something very funny for very ridiculous or very. I kind of find the word of the meeting to show something very evident.

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Off, the political group that I don't like. I dislike then It will easily, emotionally attached to this, to the I will stop here but what the what the emotional reaction That's a study at, I think it's a very important clue here.

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To understand that we have to somehow become historic and not to react so fast. But, Oh no, it's too long, but sorry, sorry, but thank you for this.

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Yeah, wonderful. Question. Thank you.

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Okay, there are 2 questions one is Mihail in the chat maybe you can Say by yourself and the other hand is for Jorge.

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Can you ready or ask? Yeah.

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No.

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I'm not asking anything at the moment. Thank you.

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It was a question for.

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Maybe it was a Okay, okay. But, I, sorry, it was the previous, okay, okay, sorry, okay.

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Yeah.

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Yes, perfect.

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Yes, thank you, Tina. Do you hear me well? Yes, perfect. So, thank you. Quite true.

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And also around for your wonderful presentations and it gave me Many ideas and I see that. How they connect.

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And this analysis of a digital capitalism or platform capitalism like someone some others have called it or Vigilize capitalism.

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What a my question for quite choice about one of the slides that I very much like that is about the mechanisms of of polarization.

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That it was a selectivity. This cascade activation, priming and framing.

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Hey, that I think that's very useful to see how how this particular a system of or this logic that to say it better.

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No, it's a logic of polarization is working. So, And how did you? How would you connect this, mechanisms in cybernetic terms like feedback or feed forward.

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Can you say for example I see that priming maybe it's a kind of Feet forward, what I would like to hear from you.

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Thank you.

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Hey, yeah. This proposal was made by Yeah, the book is called fake news throws and another charmings in Spanish.

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And. And they make this, profound study and I'm using these categories.

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Into the US politics. And yes, it is very interesting to see how predisposition or anticipation to certain information is key 2.

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The explanation. That we have forwards or the analysis. And what we think is a very good analysis, a usually is an analysis that matches with our ideology.

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Or with our previous perspective not we are not making an analysis. We are not evaluated the analysis by They got categories or the credibility or the of the validity of the sources or something.

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Not Yes, because if it's it fits with our He leaves, We think, oh, it sounds great.

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That's exactly what I'm thinking. And. It's becoming that a major problem of polarization because plurality as we were discussing yesterday.

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A plurality is sent off. The public discussion. And, we only have 2 possibilities and and yes well Yes, this is this part of anticipating and Feel forward I think.

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We'll be something that we have to. Discussing the next year because he's Something B. Thank you.

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Thank you. For this.

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Thank you.

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Okay, I think we have to finish stop here for no question. Yeah, very short

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Hello, Pancho. Hello everyone. I'm just wondering your views on agency. A related to the process you mentioned because Right, my feeling my view is that.

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Olivier seems to be. Like a micro system without a

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Not not acknowledging the and the actors. A actors are micro-level. Choose to play.

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Have an interesting role on giving and gaining value in these capital civilians. Nothing by creating contents.

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For example, in Twitter there's people who treats. Like buddy, Extra Mista there and then it's like gaining value.

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I don't know what your feelings if you have thought about that. What's your opinion?

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Yeah, I think, if this is very related to the problem of The, apps and internet being, private space.

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But being treated as a public space. And so we are into it's like feeling that we are in a in a park but we are not in a party as we seen a commercial more.

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I'm a I saw because of that then, filter bubbles. Become like an problem.

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A private. Problem and We, we need, we use. This is space as public.

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What? But it's privatized from the beginning. So I think it's something like that.

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Okay, thank you. Thank you very much. Thanks. Thank you very much.

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But I don't know. Yeah. Thank you.

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Wancho and maybe we can also explore the idea of echo chambers where we can talk about, okay?

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Yeah. Absolutely.

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Okay, well, I think we have to collect life.

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Yeah, thank you.

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Next speaker is Jorge and No, Horace, okay. Emerson, you are just in the darkness and we don't see your face is only like a and maybe you have to put for the next a time your face in the light if not well it's the time of 4 you know 15 min flexible and after question answers okay

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go You share your screen.

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Okay, yeah.

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Okay.

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No yet. Okay, fully screen now

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Okay. Kind of. Yes, can you see it?

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Where?

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Yes.

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Well, yes, more or less we see our face. Okay, go.

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Okay, thank you. So, this was the original title, but it, change a bit.

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I've got to rebuild it now, but it's more or less the same as a precision but well in this.

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Presentation I will address. Oh, I also some kind of this a digitization with your having. One, also with view on the finance and this, er, term from Casino Filus comes from a, a book that is called the system's view of life by And it's a book.

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It's very important for a system theory like, it aims towards a synthesis of a various domains like by my biological, the chemical, the physical, social.

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But also, a what I like a lot is some of the less in in the last chapters.

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It also develops a kind of a critic. Of this, the final system and the economic system and work at the present time.

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But, our own was already talking. About this idea of a infinite growth. So this idea of infinite growth that is some of the points.

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That we have to address in order to. To foster sustainability. And also this, er, to, er, reduce the, so many of the problems that.

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That we have but I will be speaking about this machine that I call it in this presentation a machines that creates a capital.

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So, this is a also rooted on on the oh sorry

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Yeah, okay. It's okay. We have the again the presentation.

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Yes, we can see it.

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Yes, thank you. Well, er, some of the definition, er, I go back to Ashby and from first, that is idea that a cybernetics on the license, er, machines later, er, we will see that we also speak of systems, but, er, Take this definition of machine that is

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a well-defined functional properties of an abstract entity. So it can be a many different kind of of it can be but biological or a social or a physical so you have to use a broader definition of machine in abstract terms.

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So we have here these and this is the. Like, using C maps. I was trying to to think of the relations that we have in this topic that is a the management of a assets and a to produce more more capital but also relying on digital technology.

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So that is a part that connects with this session that They also make use in finance to observing this a Latin patterns in society like a big data using machine learning.

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But it also fit a back with the innovation system. But we will see that ultimately everything is a So subsumed to the main goal of creating more capital.

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So we it's it's a very creative creative and innovative a process, a to develop these instruments.

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But also a couple with the real economy. So we will start. There, also.

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Well, we have to, see is in a in the economy and there are there is always a problem of this.

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Blind spots so there is something that is always leave out like a It can be for example the care work that is very important for the sustained for sustain society, but many times it doesn't even count on the.

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And what is being a I analyzed as part of the economy. So, we have this idea of the blind spot, but a and how we can.

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A like a

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Like. To a calculate again. What is a cost or real cost for example of the environment or inequalities or the problems of housing?

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So some instruments have been oriented. To like EEG bonds or emission trading.

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Or carbon taxes. So they try to reduce this externalities that the same system is reinforcing. Okay, so now we go to finance that a it's a very good definition from from 2,014 that is the same year of the book by Capra and she makes the analogy that Says that finance is like a steam engine of

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our epoch. So, a like digitalization like they were I think And also, Quanto and Aron, were saying that it is ubiquitous.

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So finance is also becoming ubiquitous. It's everywhere. So everything can be. A financialized and integrated to this.

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Machine that creates more capital. So this is from the book. Of expulsions from a. Okay, so in contrast, a to finance we have to observe what would be something like the real economy.

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And I, here I find this idea that It's in essence is the ability to to continue with the leaving a community.

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And to sustain a our present, existence and Assure it for the future.

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So, but how, how. Yeah, well, managing a short tax shortage and anticipating future leads.

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So this is a definition like the function of. Er economy according to Nicholas Lumen.

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But ultimately the goal would be to sustain life. At what we call, or house, where it's from Greek.

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It can be the house and nation or like a, it can be planet Earth or Gaia, like this concept.

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This is the objective or the function of real economy. So in global financial Hey, capital recent. Okay, what we see when we look at these other work, other process that is global essential.

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01:01:56.000 --> 01:02:06.000
We see that there is an unevenness. It's very asymmetric. We have a circulation of financial capital that is everywhere and you can they can move capital from one place to another.

349
01:02:06.000 --> 01:02:22.000
And been very short time. Er to make a more, and to make more deals, it can be a process that very very fast moving from from everywhere in the world.

350
01:02:22.000 --> 01:02:42.000
But in contrast to that, someone like Chomsky already in 2,004 he was is speaking about the tendency that the circulation of labor was being reduced so not not everything is becoming globalized at the same speed.

351
01:02:42.000 --> 01:02:58.000
Some things are for example the The borders are getting a stronger and so it's very contrasting. Which domains of the society are becoming globalized and at which speed.

352
01:02:58.000 --> 01:03:12.000
And which others are being like a left out or also even with used. So, but, here's a quote from, We have to understand that all flows of money.

353
01:03:12.000 --> 01:03:25.000
Ultimately converge in these networks searching for hybrid hybrid gains so we go back to the to the diet diagram.

354
01:03:25.000 --> 01:03:32.000
So here it. We see a different.

355
01:03:32.000 --> 01:03:58.000
Okay, the couple, the coupling with information and communication technologies. Er, something interesting in Capron DC is that when they speak about finance, they don't use the term because it's clear that there are some, actors that are, and like they say systemic relevant that they are the notes that are taking the

356
01:03:58.000 --> 01:04:04.000
decisions. So we have to a an example of these are the transnational organizations that a manage all these assets.

357
01:04:04.000 --> 01:04:17.000
So these actors are a relevant their decisions are very relevant so it's not only not top yet, it's not an, it can be.

358
01:04:17.000 --> 01:04:33.000
We can say it is self organized. It has a processes mechanisms. What a we don't have a we have to say that there are some very specific notes with more power to influence how this how this works.

359
01:04:33.000 --> 01:04:36.000
So going back to the metaphor with more power to influence how this is more power to influence how this how this works.

360
01:04:36.000 --> 01:04:39.000
So going back to the metaphor or the analogy with the steam engine, this how this works.

361
01:04:39.000 --> 01:04:43.000
So going back to the metaphor or the analogy with the steam engine, this is a very simple a diagram of how a steam engine works.

362
01:04:43.000 --> 01:04:50.000
And we see that it's a trivial machine. This is in terms also of a phone first.

363
01:04:50.000 --> 01:05:05.000
He these are diagrams from from him. A very simple video machine, a works with an if then mechanism but a non-trivial machine also has an internal state.

364
01:05:05.000 --> 01:05:10.000
So, a when we speak about some of the financial instruments. The first thing that is very important is that it is a contract.

365
01:05:10.000 --> 01:05:32.000
So it's make it makes use also of the legal system like a to like to to this outcomes of different is financial instruments but they what is the internal estate in from first term would be the underlying entity.

366
01:05:32.000 --> 01:05:39.000
It can be an index, an asset. Or an exchange rate that like we will see between different a different like between a US dollars and Mexico.

367
01:05:39.000 --> 01:05:55.000
They this underlying entity can fluctuate and it can become a Hey, higher price or less price, a more time.

368
01:05:55.000 --> 01:06:06.000
So the outcome of this financial instruments. It's very, it's not a you cannot foresee what would will be the result.

369
01:06:06.000 --> 01:06:18.000
It's not non-trivial. So, here's an example. I have a I had 2 examples but maybe II will only have time for to give one of them.

370
01:06:18.000 --> 01:06:28.000
This is an instrument that a worked Yeah, this year it was offered. There are 2 possible scenarios.

371
01:06:28.000 --> 01:06:43.000
The duration is a 9 months of the investment. So if the, if, then. Hey, it's a change rate between US dollars and Mexican peso remains between.

372
01:06:43.000 --> 01:06:52.000
What is? 18. And 20 or doesn't. Gets higher than 23.

373
01:06:52.000 --> 01:07:11.000
A the investors can get a jailed up to 17.5% but if in the second scenario if the exchange rate it goes higher or goes lower then they don't get any deal.

374
01:07:11.000 --> 01:07:20.000
The capital is assured that means they they keep their initial capital but they don't get any gains from this investment.

375
01:07:20.000 --> 01:07:27.000
So who get the gains? Well, they the one that is organizing these instruments. So the result was like this.

376
01:07:27.000 --> 01:07:38.000
It was just like a a month after they offered this instrument. That it, went down and then it went even even lower.

377
01:07:38.000 --> 01:07:53.000
This is change rate, but there seems a month after that it was a This means they didn't get any deal and the more and the money or is there for 9 months.

378
01:07:53.000 --> 01:07:59.000
Okay, so they will get their initial money back, but they don't. Get any yield from this investment.

379
01:07:59.000 --> 01:08:09.000
So Okay, so, if we go back to this non-trivial machine and we combine it with the idea of the steam engine.

380
01:08:09.000 --> 01:08:20.000
What we see is that this always a produces capital. So the question is, I think it's correct to to compare it to an engine.

381
01:08:20.000 --> 01:08:34.000
Because it there's something that is produced but it's a kind of a Miraculos engine because it's a capital that is in the form of stock then it goes to a process.

382
01:08:34.000 --> 01:08:43.000
Can be non-trivial. For the question at the end is in which direction does a capital flows.

383
01:08:43.000 --> 01:08:57.000
But a the machine creates capital. So it's not something that. And maybe a like a casino that a Some money is transferred from one person to another.

384
01:08:57.000 --> 01:09:10.000
The one loses and the other wins here the machine creates it's creating this capital so that I think that's important and going back to to this diagram.

385
01:09:10.000 --> 01:09:21.000
We also see a So we have to maybe. Pose a question, a what do we do with this complex?

386
01:09:21.000 --> 01:09:31.000
Financial instruments. Do can can we think of other possible juices like as we also suggest much wider than the actual.

387
01:09:31.000 --> 01:10:01.000
Or is the contrary maybe here we see the contrary that the limitations or the restrictions. Of these instruments are to lack to a they are not a very strong so they have a they took off the basically they are a creating capital in a in a way that is completely detached from the real economy like what we were speaking about.

388
01:10:01.000 --> 01:10:15.000
The real economy. At the origin of these instruments, the goal was to secure the price in the future like to say the price of this commodity.

389
01:10:15.000 --> 01:10:29.000
Er can be a fluctuating so we have to to secure that we have. It, this, that we are able to satisfy our future needs.

390
01:10:29.000 --> 01:10:38.000
So we developed these future instruments to assure a price in the future. But that is, we can see that is no more the goal.

391
01:10:38.000 --> 01:10:46.000
That is, it's just the creation of more of higher capital deals. So how am I doing of?

392
01:10:46.000 --> 01:10:53.000
With the time.

393
01:10:53.000 --> 01:10:56.000
Yes, do I have?

394
01:10:56.000 --> 01:10:57.000
Minute more or 2 min more no more

395
01:10:57.000 --> 01:11:02.000
Yes. Yes. Oh, okay, okay. Thank you.

396
01:11:02.000 --> 01:11:15.000
I will speak briefly about the second. Example that is a also interesting for this session That is a there are these.

397
01:11:15.000 --> 01:11:34.000
Operational systems like they define it. To use their own terms. And to end operating system that brings clarity to investment professionals and is a very much centralized in a system that is called a Aladdin that is also used.

398
01:11:34.000 --> 01:11:43.000
It was developed by Black Rock, but also used by the other companies that some of them I also wrote in the presentation like Bangor or State Street.

399
01:11:43.000 --> 01:12:07.000
But, what is interesting about this, Aladdin is that some of, people reporting on the system suggests that it's also using Yeah, well of course it uses classical economic variables such as GDP numbers, unemployment numbers, a stock market, but they suggest that it may be using using also.

400
01:12:07.000 --> 01:12:13.000
Other digital fingerprints like a credit card data say to light matches. Political literacy and social media activity.

401
01:12:13.000 --> 01:12:31.000
So it can be that also and why not if we ask, why not use all these possibilities of a that comes with the that data we are generating Why not use them too?

402
01:12:31.000 --> 01:12:41.000
And like a kind of a forecast what could be the behavior of the markets. So, but it's also, a black box.

403
01:12:41.000 --> 01:12:56.000
We don't really know. It is also a something that the this company has a very very It makes it available for for its clients.

404
01:12:56.000 --> 01:13:01.000
But in like in the case of Google or Meta, we don't see we can't see what is it.

405
01:13:01.000 --> 01:13:10.000
The algorithm, how it is working with the data. So that is a problem. When we have this as spots that are centralized where the data is flowing.

406
01:13:10.000 --> 01:13:19.000
And but it's not the only one like in the examples of Google or Meta We see that.

407
01:13:19.000 --> 01:13:32.000
There are these places. So, What we see at the end is that. This apparatus or machine that is coupling finance and digitalization.

408
01:13:32.000 --> 01:13:43.000
Is expanding the gap between what we call the real economy. And using it just to create more capital, with basically creating a big bubble.

409
01:13:43.000 --> 01:13:47.000
So that would be the the end. Thank you.

410
01:13:47.000 --> 01:13:53.000
Okay, thank you very much.

411
01:13:53.000 --> 01:13:56.000
I maybe you can connect your camera. It's okay. Thank you. Yeah.

412
01:13:56.000 --> 01:14:00.000
Oh, sorry. When I, okay.

413
01:14:00.000 --> 01:14:14.000
Okay, now any question from here from have you?

414
01:14:14.000 --> 01:14:15.000
Hi.

415
01:14:15.000 --> 01:14:44.000
Hi, okay. Hi everyone. I was a little bit surprised not to see Bitcoin in your math because it's pretty clearly the or cryptocurrency more in general is particularly a great example of What you described as this process of moving away from the real economy and if you think about this

416
01:14:44.000 --> 01:15:02.000
cryptocurrency Basically we are talking in theory about something where money is produced by computation which seems like magical because it's like value extracting from nothing.

417
01:15:02.000 --> 01:15:32.000
But if you think about it and as you am pretty sure you know actually there are negative externalities because in order to to run this competition you have to consume energies and So, I would be curious about how to know how you read the cryptocurrency phenomenon within your frame.

418
01:15:33.000 --> 01:15:46.000
Thank you Fabio for the question. Yes, of course. It is very important. This part that you, er, point out because, er, we have this, er, computation capacity.

419
01:15:46.000 --> 01:15:57.000
That is running 24 h like a which rely all the platforms rely on this. And these servers.

420
01:15:57.000 --> 01:16:03.000
It also I think will be a problem with the more widespread use of AI.

421
01:16:03.000 --> 01:16:12.000
Because they are right now the companies are promising like office or Adobe are promising that the companies are promising like office or Adobe are promising that they everything will integrate AI.

422
01:16:12.000 --> 01:16:22.000
But a maybe they will get to the point of. Having difficulties to because of the processing capacity of these tools.

423
01:16:22.000 --> 01:16:47.000
So I think, but it also is interesting the case of cryptocurrency. Because it's coupled with other crisis like the micro-components in a crisis like it because everyone was buying this video.

424
01:16:47.000 --> 01:16:48.000
The GPUs.

425
01:16:48.000 --> 01:16:52.000
Yeah, this, how do you call this? Video cards or video. I don't remember the like the NBA, the ones Yeah, DPUs, yeah, for video games.

426
01:16:52.000 --> 01:17:07.000
So for a everyone was buying it or many people were buying it to mine not to produce this so in some countries like in Which countries mainly where the price of energy has, grown.

427
01:17:07.000 --> 01:17:17.000
It is not a business anymore to have your computer mining. For example, if you go to other countries like it could be.

428
01:17:17.000 --> 01:17:36.000
Maybe Mexico or some countries like where the price of energy is not so high like in these other countries it can still be some kind of business but not not like in the start we did was a Really giving a lot a lot of high gains.

429
01:17:36.000 --> 01:17:53.000
But, okay, yes, I think it's a For example, the cryptocurrencies and not to be confused with digitization because there is also this digitalization of up money that is happening.

430
01:17:53.000 --> 01:18:09.000
Like the banks that are trying to get their customers to do everything on a with the digital tool. So I think in the future we will see that We have more thread the thread of the utilization.

431
01:18:09.000 --> 01:18:18.000
A continuous but I don't know what will happen with with crypto Don't see it clear.

432
01:18:18.000 --> 01:18:19.000
Thanks.

433
01:18:19.000 --> 01:18:23.000
We'll see. For example, in in Salvador, then it's really interesting case.

434
01:18:23.000 --> 01:18:37.000
How it goes. Thank you.

435
01:18:37.000 --> 01:18:38.000
Yeah.

436
01:18:38.000 --> 01:18:42.000
Thanks. Any other question here? Emerson your face is completely dark maybe Maybe you have to put your light in front of your face, okay?

437
01:18:42.000 --> 01:18:48.000
I couldn't adjust the light, sorry.

438
01:18:48.000 --> 01:18:49.000
Hi, so.

439
01:18:49.000 --> 01:18:57.000
But, Hi, thank you for your brief vision. Hi. I think a whole scheme round the scale you describe was very complex.

440
01:18:57.000 --> 01:19:13.000
So let me focus on expect of social program. You mentioned many social programs housing in decorative. And environment So.

441
01:19:13.000 --> 01:19:23.000
I wonder what this what do you think how can we deal with maker effort to deal with a particular social effort.

442
01:19:23.000 --> 01:19:36.000
In Mexico or anywhere. Can I ask you your, opinion or idea or example? Or anything.

443
01:19:36.000 --> 01:19:45.000
If you if you could, repeat to me the last part because I Do you get it quite well?

444
01:19:45.000 --> 01:19:46.000
In terms of environment and social problems.

445
01:19:46.000 --> 01:19:59.000
Oh, okay. Yes, so can I ask you your an idea or example to deal with a particular social program.

446
01:19:59.000 --> 01:20:04.000
Any program, you know.

447
01:20:04.000 --> 01:20:13.000
Okay, so, er, yes, er, like we were, In that case, when you're speaking about the going to the diagram.

448
01:20:13.000 --> 01:20:22.000
Yeah, we have this innovation system that is trying to address some of these social problems. Just mention 3 that is a So the kind of the environmental problems, it can be the climate crisis.

449
01:20:22.000 --> 01:20:36.000
Also the qualities that it is a broad spectrum of inequalities that can be poverty or gender inequalities.

450
01:20:36.000 --> 01:20:45.000
And also the problem of housing like a That is, I think that that problem in particular when we speak about the price of housing.

451
01:20:45.000 --> 01:20:55.000
Is becoming a uncontrolled because of of a price of prices. Going very high in Amissa is a world tendency.

452
01:20:55.000 --> 01:21:08.000
We have it in Mexican, many different places, not just in Mexico City. What a it will it will be it's like a like a feedback make collision because There is no.

453
01:21:08.000 --> 01:21:18.000
We can establish or the governments or the people. A still in many places they can. Not to stop this.

454
01:21:18.000 --> 01:21:30.000
To become a the housing is becoming in accessible for many. So that would be one problem that is directly impacted by this, a casino finance.

455
01:21:30.000 --> 01:21:41.000
But also in a what I see as problematic. And we can discuss this is a some kind of the instruments they are offering.

456
01:21:41.000 --> 01:21:50.000
That are environment is sustainability and governance that is this kind of bonds that a sustainability and governance that is this kind of bonds that a that you are contributing to.

457
01:21:50.000 --> 01:22:04.000
To solving a social problem while a gaining a capital gaming deals from your investment. But I think the problem is the main goal is to to gain capital, not really.

458
01:22:04.000 --> 01:22:11.000
It's a secondary goal like putting a it's very clear that the main goal is just to get more capital.

459
01:22:11.000 --> 01:22:19.000
So I think that's kind of problematic and, like a medical, but I mean, it's in everything.

460
01:22:19.000 --> 01:22:27.000
This kind of, Yeah, like a package like like in the same package. You can continue.

461
01:22:27.000 --> 01:22:46.000
Producing this. Okay, these games is getting these games. And trying to address a problem. So I think it is clear that it's not the the like the main objective objective of this points.

462
01:22:46.000 --> 01:22:47.000
Did you throw?

463
01:22:47.000 --> 01:22:50.000
Thank you. Very interesting. Thank you.

464
01:22:50.000 --> 01:22:52.000
Yeah.

465
01:22:52.000 --> 01:22:57.000
Okay, I think we have only 1 min more. There is any other question. No, so we move forward.

466
01:22:57.000 --> 01:23:12.000
Thank you very much for And now is the time of Emerson. Well, Okay.

467
01:23:12.000 --> 01:23:13.000
Well.

468
01:23:13.000 --> 01:23:17.000
Sorry, I could not adjust the light. I'm not in my house because I had a problem with the internet.

469
01:23:17.000 --> 01:23:18.000
So I'm sorry. But the presentation will be clear.

470
01:23:18.000 --> 01:23:28.000
No, no. Don't worry, don't worry. Okay, go ahead and you have 15 min flexible and at the end questions.

471
01:23:28.000 --> 01:23:29.000
Okay. You can go.

472
01:23:29.000 --> 01:23:37.000
Okay, let me let me share my screen.

473
01:23:37.000 --> 01:23:54.000
Just a second.

474
01:23:54.000 --> 01:24:10.000
It's not expanding.

475
01:24:10.000 --> 01:24:11.000
No, it's okay.

476
01:24:11.000 --> 01:24:13.000
Sorry, the Zoom, it's not expanding the screen. Oh, now. I think the

477
01:24:13.000 --> 01:24:17.000
This is the this is the last Probably.

478
01:24:17.000 --> 01:24:24.000
Okay, I think now it worked. Just a Just a moment.

479
01:24:24.000 --> 01:24:25.000
Okay. Now the

480
01:24:25.000 --> 01:24:29.000
How to the first? Yeah, I know. Fuller screen. Down

481
01:24:29.000 --> 01:24:32.000
Where is the Here.

482
01:24:32.000 --> 01:24:36.000
Very bottom left, right?

483
01:24:36.000 --> 01:24:38.000
Okay, you can see the full screen.

484
01:24:38.000 --> 01:24:41.000
Okay, it's okay perfect go

485
01:24:41.000 --> 01:24:56.000
Okay. Well, thank you everyone. The title of my presentation it's a critic of the idea of informational overload in the gisto space.

486
01:24:56.000 --> 01:25:04.000
So, an introduction. Every time we have, creation of a new medium in society.

487
01:25:04.000 --> 01:25:16.000
We create together with this medium a hypothesis of information overloading. We can, we can see this in several orders.

488
01:25:16.000 --> 01:25:34.000
For example, Walter Benjamin talks about that when He writes about cinema with the concept of optical and conscious Marshall Mcleuhan and talks about that and with the his concept of global village.

489
01:25:34.000 --> 01:25:45.000
And, he talks about that with his concept of cyberspace. I'm offering a counterpoint.

490
01:25:45.000 --> 01:25:48.000
To this.

491
01:25:48.000 --> 01:26:07.000
I'm already a counterpoint to this, arguments. And my hypothetical counterpoint actually Is that communication in society is experienced without an information information overload?

492
01:26:07.000 --> 01:26:19.000
It's a, it's an, it's an hybrid head, go convert points because I'm not so sure about what I hope present, but that's just how science works.

493
01:26:19.000 --> 01:26:32.000
So, I'm, I'm not denying that we had a, an increase of the informational flow, especially with the internet and the digital media.

494
01:26:32.000 --> 01:26:41.000
But what I argue is that there's increase in the informational flow. Doesn't does not translate itself.

495
01:26:41.000 --> 01:26:56.000
In the overloadness in the communication experience. And this is because communication requires a content selection. Which means choosing some alternatives and leave other alternatives behind.

496
01:26:56.000 --> 01:27:03.000
The theoretical basis that I'm using is the theory of communication in social systems of Nicholas Lumen.

497
01:27:03.000 --> 01:27:14.000
For a moment communication requires selection. A content or message is selected among a repertoire of possible order contents.

498
01:27:14.000 --> 01:27:26.000
These contents can be different topics, sentence or even ways of ordering or understanding something. So by selecting one alternative among others, communication produces meaning.

499
01:27:26.000 --> 01:27:31.000
In other words, if everything were communicated at once, there would be just chaos. And selection prevents that.

500
01:27:31.000 --> 01:27:46.000
We cannot talk about everything at one moment. So, we have some forms of, selection of communication.

501
01:27:46.000 --> 01:28:03.000
The first form is, the topics and contributions to this topics. Topics function as structures of communication process because true them it is possible to measure whether or not the behavior of the order is adjusted to the subject in question.

502
01:28:03.000 --> 01:28:12.000
So in other words, topics worked as as come back to complexity reducers to select which contributions are suitable for it.

503
01:28:12.000 --> 01:28:20.000
For example, if a conversation is taking place about football, you cannot at that moment talk about carbon free.

504
01:28:20.000 --> 01:28:32.000
Unless this is final in the communication. For instance, oh changing the subject or there is a relatively long silence that indicates the end of the discussion of that topic.

505
01:28:32.000 --> 01:28:44.000
And here we have, possibility of overloads. Because, An overload of topics, it is impossible.

506
01:28:44.000 --> 01:28:53.000
And then the ongoing course of a conversation debate. Because each contribution limits the possibilities of future contributions. So I'm talking.

507
01:28:53.000 --> 01:29:04.000
In a moment about football, we must keep talking about football, you know, normal conversation.

508
01:29:04.000 --> 01:29:13.000
The second form of, selection is the in probability of communication, to live its local company.

509
01:29:13.000 --> 01:29:21.000
Not every content reaches everybody. For a content to spread out it has to struggle with the barrier of attention.

510
01:29:21.000 --> 01:29:33.000
Elsewhere people will be paying attention to other things that are of their interest. This means that by selecting a content and leave others behind, I am not aware of what I did left behind.

511
01:29:33.000 --> 01:29:44.000
Oh, as Lumen says, the system cannot see what it cannot see. Here we also have an, an impossibility of overlooked.

512
01:29:44.000 --> 01:29:56.000
We don't choose what content to pay attention in the same way we choose products in a shelf because we don't have the notion of the repertoire of the choices.

513
01:29:56.000 --> 01:30:13.000
They refer to our appears towards gradually in each occurrence of communications and not and not all at once. It is, it is if other products in the shelf appeared only after we buy one and not at once before the buy.

514
01:30:13.000 --> 01:30:19.000
So, so this selection is, temporarily made.

515
01:30:19.000 --> 01:30:29.000
And finally we have the third form of selection there there are those schemas or cognitive myths.

516
01:30:29.000 --> 01:30:46.000
Skimless allow some thoughts patterns to be stored and used to recognize something strange through the familiar. There is there is a as Lemon says, an integrated action of condensation, confirmation, generalization and schematization.

517
01:30:46.000 --> 01:30:59.000
For example, someone can assume the personality of someone else looking for it's supposedly racial traces but this schematization can be raised in the future.

518
01:30:59.000 --> 01:31:10.000
Here we also have an possibility of overload. At psychological level, the overload is replaced by another organized fragmentation.

519
01:31:10.000 --> 01:31:25.000
For each occurrence there are multiple multiple Come on, For example, a flood can be seen by an observer at the same time in a mitological schema as a bunny, punishment for from God.

520
01:31:25.000 --> 01:31:31.000
And in that casual schema and in effect caused by a pollution.

521
01:31:31.000 --> 01:31:43.000
So the just summarizing my arguments. The overloading communication is, avoided or is impossible because the selection of a topic.

522
01:31:43.000 --> 01:31:59.000
Because we cannot see the contents that we are left behind And, because we can isolate the divergent interpretation in type in different schemas.

523
01:31:59.000 --> 01:32:06.000
Let's talk about, the information overload in, in the digital media properly.

524
01:32:06.000 --> 01:32:16.000
I have 2 considerations to make. One is about algorithms and other is about social media. And about algorithms.

525
01:32:16.000 --> 01:32:30.000
They improved the selective feature of communication by enhancing the effects of A and B, which means the selection of topic and not seeing the contents that are not being selected.

526
01:32:30.000 --> 01:32:39.000
Because they are made to direct contents to the individual based on previous contents that this individual research.

527
01:32:39.000 --> 01:32:54.000
So they can recommend contents considering what I see and not what I'm not seeing. For example, if I only see videos about football and left wing political news, the algorithm will show me more football and more after week news.

528
01:32:54.000 --> 01:33:01.000
It cannot show me that I'm not seeing basketball or right wing news.

529
01:33:01.000 --> 01:33:22.000
And now about social media. Social media functions as a public sphere and public sphere in the concept of Nicholas Loman, which is a media from, for the second other observation.

530
01:33:22.000 --> 01:33:33.000
So the contents become more and more exposed and more subject to criticism. So inside of each communicative topic, there will be more contingency.

531
01:33:33.000 --> 01:33:38.000
And increasing of second order observation. But, here, there isn't an important distinction, exposure.

532
01:33:38.000 --> 01:33:57.000
It's different from overload. And the differentiation of communicating environments like in several subsystems like science, religion, art, education.

533
01:33:57.000 --> 01:34:16.000
Politics, economy, etc. They help us navigating this informational see. For example, in during the COVID-19 pandemics, the, the information about vaccines circulated quickly through fake news channel, about vaccines circulated quickly through fake news channel for instance.

534
01:34:16.000 --> 01:34:29.000
However, they were equally quickly responded with scientific communications. The publications. Coming from the journals and universities and so on.

535
01:34:29.000 --> 01:34:43.000
And so, we could be walking through a scenario and, with more reflexivity in, the sense of instead of an overloading.

536
01:34:43.000 --> 01:35:04.000
Because everything, every position that is issued has to be publicly justified somehow. So, we have an increasing of the information of flow of the repertoire of contents and messages, but not of the experience of an overload.

537
01:35:04.000 --> 01:35:20.000
So in conclusion, the creation of new media, including digital media does not create an effect of overload of information because communication requires selection in the forms of topics, attention requires selection in the forms of topics, attention and schemas.

538
01:35:20.000 --> 01:35:47.000
And since selection must be made. A possible phenomenon of overload is not directly observable at social level But, it is observable at a For example, we, we cannot see the overloadness in, communication, communication itself.

539
01:35:47.000 --> 01:36:03.000
And digital media environment in increases they are available for making communicative selections. Now I, put some questions for further studies for the reflections.

540
01:36:03.000 --> 01:36:17.000
The first one could could be increasing of the repertoire of communicative contents be leading society and people to be more reflexive in constructing their opinions with more carefulness.

541
01:36:17.000 --> 01:36:37.000
Oh, there is only an. A irrational selection. I didn't know what word to use here rational maybe it's not the best selection And second question, good feuder bubbles or echo chambers be seen as an indirect effect of informational overload.

542
01:36:37.000 --> 01:36:51.000
As a defense mechanism in the digital C of information. And this is a question that. It goes in the opposite direction of the arguments that I'm presenting here.

543
01:36:51.000 --> 01:37:03.000
But as I said before, I'm not entirely sure of. What I am presenting. And regarding this second question, Oh my god.

544
01:37:03.000 --> 01:37:17.000
Sorry to the the became stupid. I have published, an, an article this year, about social media in echo chambers.

545
01:37:17.000 --> 01:37:38.000
Trying to approach this phenomenon. In the system theoretical perspective. So if you enter, if you intercept to read, it's published in the Kibernetes Journal and if you don't have access you can send me an email and if you don't have access you can send me an email and I can

546
01:37:38.000 --> 01:37:47.000
share the copy with you. These are the references that I use in my presentation. Thank you everyone and sorry again for delight.

547
01:37:47.000 --> 01:37:51.000
I really couldn't. They could not adjust it.

548
01:37:51.000 --> 01:37:55.000
Okay.

549
01:37:55.000 --> 01:38:04.000
If you finish, okay, thank you. And now is again open the floor. Any question here? Total?

550
01:38:04.000 --> 01:38:13.000
Come.

551
01:38:13.000 --> 01:38:14.000
Oh.

552
01:38:14.000 --> 01:38:17.000
Hi, Amazon. Nice to see you. And thank you for your presentation.

553
01:38:17.000 --> 01:38:30.000
Yes, as a once you mentioned, to deal with Equal DEMX or, information, above role.

554
01:38:30.000 --> 01:38:45.000
We have 3 dimensions. It is a cognitive dimension. Carbon dip and technological dimensions. You're gonna race, for turning such as for example, on social dimension.

555
01:38:45.000 --> 01:39:02.000
And I think Emerson suggested that the third dimension. He discussed function of a topic in communication. If we have a conversation we can HER, the relevant, topics.

556
01:39:02.000 --> 01:39:17.000
During our conversation. I think the other more organized socialist organization such as RC. 51 or sociological situation also.

557
01:39:17.000 --> 01:39:29.000
Can be, I can work as a soldier filtering mechanics. To avoid or buffer information overflow.

558
01:39:29.000 --> 01:39:50.000
So I wonder, oh I'm curious about your Emerson's opinion or idea about such a social dimension to a avoid a prevent so the information overflow Are they, do you have some idea or opinion on this point?

559
01:39:50.000 --> 01:40:00.000
Wow, what kind of example come up to your mind?

560
01:40:00.000 --> 01:40:16.000
Thank you for your question. If I understood the right, you, you already gave a good example of, a social dimension.

561
01:40:16.000 --> 01:40:35.000
Eee, which is the RC 51 organization. Why this prevents informational overflow because the RC 51 doesn't say, oh, you can publish about anything.

562
01:40:35.000 --> 01:40:49.000
There is so much information in the world. So we will receive, anything, no. A They publish, a text indicating what topics could be interesting for the session.

563
01:40:49.000 --> 01:40:58.000
And, with this we can have a notion. About what we will not present here.

564
01:40:58.000 --> 01:41:16.000
We will not present a paper about, the production of honey by beast. For instance, because this is not predicted in the, in the, don't know the technical name in the text of the RC 51.

565
01:41:16.000 --> 01:41:35.000
So this is one example. Another example that I am thinking now, which I put in the presentation, it's about the echo chambers could be a really good mechanism to, prevent the informational overload because people are closing themselves in.

566
01:41:35.000 --> 01:41:50.000
Pre-made narratives. They don't have to open their minds to divergent opinions.

567
01:41:50.000 --> 01:42:05.000
They just keep with their with their beliefs. Even if the if we have external facts that challenge their beliefs So in this social dimensional.

568
01:42:05.000 --> 01:42:14.000
It's very, Easy, let's say to prevent. The overloadness.

569
01:42:14.000 --> 01:42:21.000
I have this is more difficult of course in the cognitive dimension. I think.

570
01:42:21.000 --> 01:42:29.000
Thank you. Equal chambering is can be, I think, the, you know, leveraged.

571
01:42:29.000 --> 01:42:38.000
This can be, constructive or not or constructible society. About very interesting. Thank you.

572
01:42:38.000 --> 01:42:51.000
Okay, I see 2 hands up. First is me, and second question, but about echo chambers, I think you could be overloaded, but about echo chambers, I think you could be overloading, about echo chambers, I think you could be overloading one okay a good example if you compare with metabolism you

573
01:42:51.000 --> 01:43:01.000
eat always fat and you could be. Every day more, more, more, more, more, only one kind of information.

574
01:43:01.000 --> 01:43:07.000
But, sorry. It's the time for Mihail and after Quanzo and Bo.

575
01:43:07.000 --> 01:43:15.000
Thank you. I am a bit confused. Where and how does something become information?

576
01:43:15.000 --> 01:43:21.000
In your view so I think that influences

577
01:43:21.000 --> 01:43:27.000
Whether there can be information overload or some sort of other sort of overloading.

578
01:43:27.000 --> 01:43:42.000
Okay. I didn't use the idea of information here. With We've careful this to be honest.

579
01:43:42.000 --> 01:44:00.000
Information here I'm using as a synonym for data that I know it's not the same thing from a lumenia perspective because, the order himself distinguishes between information and the data, the information something produced it by the systems and each system.

580
01:44:00.000 --> 01:44:28.000
Produces its own information. But here I use it the concept more more in the more loose way. I didn't want to use data to because I think it would sound strange.

581
01:44:28.000 --> 01:44:33.000
Hey, information here is similar to content. I think this is this is easier.

582
01:44:33.000 --> 01:44:37.000
Okay.

583
01:44:37.000 --> 01:44:49.000
Yeah, thank you. Thank you, Emerson, for your we're working. Argument of course Hey, I respect equally disagree because I think.

584
01:44:49.000 --> 01:45:03.000
It's about, the amount. I think they are the government is great. If we think for example, having a spoon of sugar.

585
01:45:03.000 --> 01:45:16.000
And then, arguing that because and the spoon of S or cannot. Make a provoke diabetes.

586
01:45:16.000 --> 01:45:27.000
Then you can. Have another one on another one and another one. And in every a single location to say.

587
01:45:27.000 --> 01:45:35.000
That that single small of sugar. Do not provoke. Because of the diabetes and that's right.

588
01:45:35.000 --> 01:45:50.000
Go to bottom massive, flow. When we are exposed to to a increasing amount of.

589
01:45:50.000 --> 01:46:04.000
Information or that I'll content. Whatever it is. Then, our abilities, cognitive abilities, emotional abilities and social abilities to process.

590
01:46:04.000 --> 01:46:13.000
And to make this selection and distinction that you are Yes, yes, it's exactly what we do every time.

591
01:46:13.000 --> 01:46:31.000
But, we are not always the ability to deal with. Amount of contents that we are being Let's see.

592
01:46:31.000 --> 01:46:39.000
Displays. Like, I'm thinking using the clockwork orange. Is that the name of the novel?

593
01:46:39.000 --> 01:46:54.000
Clack or orange or sometimes I think that current mobile phones is like a clock or orange but without the machine that keep us at the eye opens what Just the addiction to the screen is enough to keep us.

594
01:46:54.000 --> 01:47:08.000
Connective to the clock or orange and and to have this brainwash. So, I think the amount is important, I think.

595
01:47:08.000 --> 01:47:30.000
Don't the maybe in every time. You are right. Is that possible in every single instant? But I think that the It occurs when you And, and more and more and more and multiply.

596
01:47:30.000 --> 01:47:51.000
And then. Maybe, maybe they overloading is not by every single dose. Of content you are right maybe they are But we are never exposed to a single dose, but, to our overwhelming doses.

597
01:47:51.000 --> 01:48:01.000
Of these. And I think that's the fallacy if we would think and only one unit. Then maybe it will be.

598
01:48:01.000 --> 01:48:19.000
Once the spoon suga. But, I would think that the amount of the expose your to the can create a different phenomenon.

599
01:48:19.000 --> 01:48:30.000
Just give you this reflection just as a as a feedback would be great to have a conversation and I really enjoy Do you reflection and I think you're right.

600
01:48:30.000 --> 01:48:40.000
In every point we think of one single dose. But we are not. On that and that situation would work.

601
01:48:40.000 --> 01:48:48.000
I don't have a question just to share my thoughts, but But thank you for your your presentation.

602
01:48:48.000 --> 01:48:53.000
Hmm, well, if you want to to.

603
01:48:53.000 --> 01:49:05.000
Okay, I think we have to say goodbye because it's the end of the session. We are on time and and it's our last session of the RC 51 in this world Congress and our president Patricia.

604
01:49:05.000 --> 01:49:17.000
Has to close the system and say something. Sorry, thanks. What's the last message from? Okay.

605
01:49:17.000 --> 01:49:18.000
I'm just a side note. Don't worry.

606
01:49:18.000 --> 01:49:28.000
Okay, so thanks. Thanks, thanks. Thank you very much. Well, I just Very quick, last coming to Emerson and to Pancho.

607
01:49:28.000 --> 01:49:33.000
I think we have to look an in-between point.

608
01:49:33.000 --> 01:49:57.000
And that's a challenge. And that's the challenge. I think. We keep the conversation as any other and all others presentations but in I think one show some I think for Emerson and this is a last opinion for Emerson's presentation which is a last opinion for Emerson's presentation which I like very much.

609
01:49:57.000 --> 01:50:08.000
And it can be informed by Piaget. A approach. So this reflexivity can, we have to enhance our flexibility.

610
01:50:08.000 --> 01:50:20.000
And which and I do believe all this flow of information makers. More flexible, more flexible, more flexible, more reflexive.

611
01:50:20.000 --> 01:50:35.000
If we are ready to filter and to select So if that selective a mechanism is is well developed in ourselves.

612
01:50:35.000 --> 01:50:43.000
Something like that, but that's just my last thought about the Mercent approach. And, while the replies you have.

613
01:50:43.000 --> 01:51:08.000
And with this I want to thank to all the participants of course the format makes that some of us are here some of others you are there but remember that as this presentations are record this at some point I think they are going to share all the materials with us and that will be a third moment to interact.

614
01:51:08.000 --> 01:51:22.000
A which I'm looking forward because it has been a massive amount of information during this whole week. So thank you very much for joining the presentations and for participating actively.

615
01:51:22.000 --> 01:51:33.000
Mihail is I think he's 3 am, 3 30 or something like that in in your country and afternoon in in in America.

616
01:51:33.000 --> 01:51:59.000
Simmerson, I'm not sure where you base now, but thank you. Thank you also for for joining the decision today and for everyone that participated in the conference we will resume we will keep the conversation we will try to share these contents with all our 51 members and for those who are just presently approaching to all topics a keep

617
01:51:59.000 --> 01:52:11.000
keeping contact and let us know. You know, questions out suggestions, proposals because there's much more to share in in the years 51.

618
01:52:11.000 --> 01:52:17.000
Thank you for a motion. I think we all deserve and I And I suppose.