Latest / Ecosistemas / Ecosistema de la educación en tiempos de la IA inteligencia artificial - Invitado: Alfredo Moreno

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Ecosistema de la educación en tiempos de la IA inteligencia artificial - Invitado: Alfredo Moreno · Ecosistemas

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Hello from ecosystems. We send a fraternal greeting to all radio environment staff,
0:08
the National Federation of Health Workers and its Secretary, Carlos Sadamo, for allowing
0:13
us to be part of this great family that is radio ecosystem environment under the
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prism of polyhedron. How today' s world works, increasingly complex, more
0:39
uncertain, changing, seemingly chaotic, a world of all against all or all
0:44
for all. Not one thing or the other. The world operates in a
0:49
delicate balance of interacting ecosystems. I propose that you think together about how these
0:58
ecosystems work. A small pocket manual, perhaps just a bunch of thoughts and
1:03
reflections that allow us to accommodate, order, orient, understand how we work
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in these hyper- informed and communicated societies, where it is hard for us
1:15
to discover their senses and motives every day. I invite you to listen and
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discover together these ecosystems in which we are often inserted without wanting to be part
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of them and which, however, are part of our daily struggles and disappointments
1:34
and under the prism of polyhedron, because every ecosystem is composed of different faces
1:40
or sides, with its vertices and particularities. Unity in diversity, where the
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whole is superior to the parties, the agreement superior to the conflict, reality
1:52
is imposed on the idea and time space. This will allow us to build
1:59
a world that is sustained in an environment full of humanity, in harmony with
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the unique nature that protects our existence and the generations to come welcome to ecosystems
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under the prism of polyhedron. The French philosopher Eric Sadin, who visited Argentina
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recently at one of his lectures, I believe that the one he gave in
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the mauve made a shocking announcement that filled with fatality, even drawing attention to
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the fact that we are experiencing a process with civilizing and even anthropological consequences.
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He said and proposed as a date one that might not be interesting or attractive
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or significant at all, as is often the case with the changes that humanity
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has experienced since the beginning of its existence. Perhaps not when Jesus was crucified
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there was not so much awareness that they were crucifying Jesus and no one also
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had any idea of the date that happened and the same thing will have happened
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with the French Revolution and the same will have happened with so many significant events.
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Columbus' arrival in America, for example, did not and he returned
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to erix Adín says from November thirty of the two thousand twenty- two.
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It takes it as a historic date. This involves an earthquake with impossible consequences
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to determine what happened I say. Thirty November, two thousand twenty- two.
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That day the GPT chat began to work or if you want to chat
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GPT, that is, the possibility was opened for artificial intelligence to start its
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second step, which is generative intelligence, that is, that gradually it takes
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data that are abundant billionaires billions of data, and it takes its own autonomy
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in its electrical thinking. Let' s say or, if you want,
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the truth is we' re not aware of this. And it caught my
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attention. And this I' m going to link to a note I read
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this week, which published dear fellow who was here, called Alfredo Moreno,
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who talks about education and the future of education in Silicon Valley times, artificial
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intelligence. And I link it up one more thing. The President just returns
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from California and establishes some things by saying that we are going to arrange with
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Google to make a big state reform and we are going to help our kids
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study with new programs set up right from Google' s headquarters. All this
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led me to ask my dear friend Alfredo Moreno today to come to the radio
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for a while and together develop this ecosystem of education intelligence in times of artificial
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intelligence. Well a little long, Alfredo, welcome. Thank you very much,
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thank you very much. It was worth it a little bit to get
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us into the subject so we could understand that things are happening around us and
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that sometimes we are not aware of all this happening. You mark very well
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in your text and alarmed me as much as Erick Salin' s phrase about
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these anthropological changes in which we are unwittingly involved. Yes, Luis Mira,
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I know very little about education. I don' t really know anything.
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I don' t want to disrespect anyone. Here there is very important knowledge
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of the pedagogical. There are people highly trained in Argentina, very trained from
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the pedagogical, from the educational, also from the neurosciences. The point is
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that when I put myself in quotation marks and investigate, it is not a
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research more than anything, it is a collection of information of what I have
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been doing of artificial intelligence, as it is impacting transversally on human life in
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all the doctors, of a very interesting Latin American thought network that has to
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do with technology but with society, of course it is the PLAGS network.
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Science technology and society. So, well, the issue of education came up,
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as well as the issue of health, industry, cultural industries, and
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I find that good is that it is like being with a lifeguard of those
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covers that were made, that were inflated in the middle of the ocean.
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And it seems to me that we are all like learning and very surprised,
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because this has a lot of speed and very surprised in the world pedago,
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from the world of educators, because many are already used many tools devices,
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platforms linked to synchronous education, more called virtual education, which is where a
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person connects to a platform to take courses, where there is forum, where
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there is chat. Well, there' s a synchronous connection. It'
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s not virtual. That virtual word was already introduced into our culture since marketing
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powered by Silicon Valley culture. So the connection because the pressure is connected in
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real time. Sure. Yeah, yeah, yeah? Yeah. There may
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be a small latency of difference for the service had communication has given possibilities to
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the asynchronous that when they turn. And what is happening with the boys is
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that, generally, their greatest educational flow today is the asynchronous through videos or
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of this type of are all the resources that come well to provide educational content
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or propose a workshop when the presence becomes difficult or sometimes when we say it,
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even to complete the presence, are all good resources. I am not
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against this. What I' m saying is that we should all be very
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aware of what' s behind this education platform. From a synchronous distance.
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I wrote down the names because let' s not tell them if they tell
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me what this is, I have no idea. You tell me if I
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say them right Kanbas, Moodley or Mode, Sakai and Black Board. So
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there are four, among other platforms of distance education. Which is a distance
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learning platform. It is a software that is placed on a server and that
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software is published on the Internet and has an organization with a synchronous classroom that
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is known as a virtual classroom. But I say again I use the synchronous
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term because the virtual term I believe was not imposed from Silicon Valle, because
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there the connection is vir is synchronous. The person connects to those platforms.
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Some are present. They are present, they are real presence, you see
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the square the virtual face. It would be if one would not be present.
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But there' s only one thing that changes is the distance between the
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two exactly. Exactly, and that presence is given in the context of the
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software platform blackby Moodle canva this which is a kind of Zoom, but it
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is specific to the educational field You can exactly library it, let' s
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say with bible, with chat Comfort, where teachers put contents that are their
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classes, the students, those contents work it. There' s the whole
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practical work part. I, as a teacher, also yours and there is
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evaluation. There is also evaluation, but there are forums to discuss with the
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teacher or with the assistants practical work, certain topics, that is, the
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same of the pedagogical path face- to- face can be done through these
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educational platforms of synchronous connection. But of course here there is a lot of
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work of the teachers who write their contents, their classes and put them in
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silver charts that I imagine, they send the contents, they send every class
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and all their pedagogical production is on the platform. But there is also the
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consumption of this pedagogical production, that the students make, the opinions that the
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students have about these contents, the performance, the performance, the examination,
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the examination, the questions, the answers. That is, there is a
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quantity of data that makes the life of the class that is on the platform
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and that is stored on the servers from where that money is published. Apparently,
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this is harmless if one sees it this way and even optimistic, because
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it implies an improvement in the educational field. And as for the speed in
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which you get the contents that you don' t have to be looking for
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them, you don' t have to go get photocopies. There are a
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lot of things, but don' t just take this look. Then we
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' ll see the other one. But, as I know Alfredo is a
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tango fan, let' s pause and listen to a very particular version of
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Grisel. Oh, good to think. Let' s get your corons this
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grave I found my r kisses I care about. It looks good on me.
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My illusion was to seek. It broke when you never left, never
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your life and brand was my per you don' t forget tem says you
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told me touch I tell you, which is that it doesn' t forget
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you. You remember me being was missing your crazy, the heat of your
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crazy mosco from other times my life. It was all a hoax. The
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law of God was fulfilled Or it was men' s don' t forget,
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of Muntes you vices of Cristian so much the cry that I say what
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it is if or because you don' t forget the thing to be seen
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from wind remembers, the album La La, the experience of Fito Páez with
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the skinny Spinetta, is Alfredo Moreno with us in this ecosystem of education in
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times of the artificial interagency. I' m sure artificial intelligence wouldn' t
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be able to do this, because there would be no chance that a correlation
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could be made. Schematics for power. It' s not the genius of
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two wonderful guys with a huge play. Yes, yes, but artificial intelligence
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can make the skinny Spinetta that before the Peronist death, as we have heard
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at this time. It' s true, yes, it' s true,
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too, but I wanted a little bit to make the idea more or
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less clear about the topic of educational platforms that have been very useful in pandemic
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times. Not very useful and I thought that how it accelerated in pandemic time
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all this kind of gift this kind of tools, and it' s good
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to think about it that way. They' re tools. Now the one
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who knows how to use the tools knows the work he has to do.
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In this case it proposes tools where it raises a convergence in education between teachers,
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teachers, who know the content and the purpose of using that tool.
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Those who know the tool, which are those of my guild, so to
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speak, my colleagues and also a sociological view, from the social point of
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view, of the impact that the use of these tools and the care that
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must have, because precisely, the education sector is a sector that is always
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running behind an economic budget. He never gets the money. So here are
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a lot of very comfortable things, like Google, to put offer you free
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form. Between quotation marks applications come phenomenon. Then all this one starts to
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use and good, but of course it is not free, because it is
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leaving on that platform what previously said not educational contents, student teacher interaction,
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evaluations, opinions, forums. If a whole amount of crumbs of hanse li
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grettel from the roads that are traveled there, that is what is then called
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fingerprint. Fingerprints. Exactly then. These fingerprints are a huge capital for Google,
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which is no longer Google. We speak of Google as that search engine
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of the end, of the eighties, of a doctor, of work,
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of doctorate, of the thesis, of two mathematicians who are obviously already enjoying
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the millions, with which that search engine was sold to a larger company,
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which remained Google and which ended today, Google Google being a subsidiary of Alphabet.
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Actually, we' re talking about Alphabet. Alphabeta inc inc is a
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corporation that has as one of its business units. Hogle, like others,
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has smart cars like others, have systems of applied devices and software for artificial
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intelligence. Platforms are not artificial intelligence, it' s just interaction content.
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Now let' s talk about artificial intelligence, that is, this world,
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this context, that' s what' s behind it and that Google does
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with all that education data analyzes them. You know. You know what happens
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in Argentina, you know what happens in Uruguay, you know what happens in
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Chile, in Brazil, you know what happens in all the countries where these
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platforms are used that were thought from Silicon Valley. And what' s the
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use of meeting her. It serves to know them so that their products,
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which are now coming from artificial intelligence, can have in good training with the
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data that were harvested there, bad own data that they will reap from the
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experience of artificial intelligence, as it happens in the world of chap gept you
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know that I have a theory a little very, a little crazy, but
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theory at last, I think that today is governing us an artificial intelligence.
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I think my law is a bow mask of something that has to do with
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artificial intelligence. And the other day, in a debate talk in Flaxo about
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evaluation of public policies and artificial intelligence and big data, one of the exponents,
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Eva Saco began her exhibition by posing herself well. I have to talk
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about this now. So I did a test. I went to Copilot of
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intelligence, the triphy of another batch prime of chap GPT and wrote to him
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says Eva not from older to younger. Give me the measures that Argentina must
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take to get out of inflation enter and this boy' s government plan appeared.
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You may mean that Copilot gave the government plan to the President that we
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actually have or imposed it long before, or the ability to take information from
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the Orthodox is above any other theory that might be turning around. Out there
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or what I think going back to Eric Adin. If we are in a
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capitalist system where the important thing is profit at the lowest cost, we are
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in a utilitarian system. That utilitarian system is going to make you work by
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virtue of the biggest profit these corporations can have. So it is in the
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case of Sadim, it is highly recommended that his reading is very distressing readings.
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Sometimes. He has a great book called The Siliconization of the World,
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which is a study of how Silicon Valley is shaping the lives of our lives
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around the world. It is not just a country, it is a global
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model, a global model that is implemented through technology companies already known as TECHs,
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known as tech corporations or known as TICK companies. These companies, from
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what you said, may feed the artificial generative intelligences, as you just named
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them, which is Google' s. On the other hand, as a
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result of their participation in the davos forum. These on Google, Amazon,
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Facebook, etcetera, etcetera, etcetera, are the ones that then centralize everything
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that is. They participate in the dabo forum and in the voice forum,
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the presidents come together and define what governments are going to be like for the
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next five or ten years. With which, when we sometimes talk about geopolitics,
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we are no longer talking about nations. We have to be talking about
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another kind of world organization exactly that' s why Erick Sadim is alarmed in
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his Artificial Intelligence Book or the tyrant individual. It is alarmed that it is
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a model that not only extreme individualism, but extreme the great professional qualifications,
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because in order to have a job replacement where many of the today, of
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the jobs that and of the professions that are in the labor market will cease
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to be, yes, certainly, then, returning to the central theme,
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at least in the teacher training agenda, in the even educational training agenda that
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the unions can be providing, this topic begins to be on that agenda to
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start discussing it, to at least put it on the table and see where
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one can incorporate these tools without so much loss of human sovereignty. Don'
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t make me crazy, Alfredo watch cocusa be your heart, I' ll
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suck everything you can always choose. Don' t write me the wall I
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just want to be between your foot And if you don' t shine the
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sun and I get stuck here and you don' t drink the reason to
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keep living without your love and that what I' ve been coming back looking
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for is nothing but seeing, is there nothing left but lying? And his
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man falls in the sun and I get stuck here and you don' t
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drink the reason to continue living without your love or what I feel after you
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want only seeing? When there is nothing but wind left and it is possible
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not to shine the sun and I will be trapped here, I would not
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see no gain to continue living if your cucusa castelo was what version there is
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a tanguito not fair to you who likes to dance you balance and spin what
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a move, what a gift, how beautiful to continue living without your love.
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Well this wonderful fellow to get back to something that' s already driving
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us crazy. As the song says, I don' t can also manifest
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this level of madness or urgency in which we may not be realizing it,
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because, as you well say Alfredo, we usually use it today. We
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want to ask something. If we ask the copilot or chat shipiti or how
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they put together a thesis today, how you develop any project or even in
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many ways the kids are using it today in school. How much teachers will
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be able to know and he did if artificial intelligence did. How clear it
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was. That' s all there is to it. I remember. Four
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years ago I was an assistant at the National University of Moreno. Alfredo tells
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me, we' re going to have to change the way we give practical
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work, because now with the GPT chaco they' re all going to be
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copied. And I said to him, but it' s a thing to
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be aware of if you copy what kind of professional, but don' t
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forget, it' s that we have to put a clear note. Yes,
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yes, evaluate and enable someone to do something. But this idea that
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the kids are going to stop going to school because you can calmly ask and
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you already have the answer to your house. Well, what a tutilist view
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that there' s a movement originated in California from schools in the house and
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that every now and then they go and yields a little bit between Egyptism and
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a lot of dollars. I wanted to say something that you said at work
30:53
that I thought was great. You say the digital natives are the first children
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with a lower IQ than their parents, that is, if we don'
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t use our own neurons, the machine will use them for us and we
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' ll do some amoebas. Okay. There, that' s a point
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not that it' s interesting these talks. An Argentine neurologist who lives in
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Paris I don' t remember his name was recently here. Unfortunately, I
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don' t remember. Come see you ask the Chat if I' m
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going to look for you here I' m going to look for you while
31:38
I' m talking about Duca and he says they' re the interviews he
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gave say that when a human being starts to delegate functions of thought, functions
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of the relational brain to devices that solve those searches. He' s starting
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to lose those capabilities. The brain forgets those abilities for its own. Then
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one wonders, not well, how we get to the particular place. Today
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it' s easier to put the little device on and it tells you how.
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I sometimes marvel at the taxi drivers we had in Argentina, in Buenos
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Aires, to have the ability to know every street in Buenos Aires. That
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' s a little bit of a comment you' re going to say and
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you know how to get there. I don' t care if I consult
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her with maps. It' s a Google app that you have on your
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cell phone. Clearly. Then it is true that it is very comfortable.
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I' m not an anti and all this is not anti what I'
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m saying, we have to be aware of what we' re using.
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The issue of being aware is also to imply the consequence it has. This,
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because if I delegate functions, I lay functions at some point I will
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delegate even the thought of who to vote for. I' m going into
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the world of political choice. I won' t have asked, we won
33:19
' t have delegated it anymore. No. For example, you really like
33:22
music. I really like music. I eat a lot of Spotify. I
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' m gonna say it on a platform. No, no, no,
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no, no, no, no, no, no, no, no,
33:30
no, no, no, no, no, no, no,
33:30
no, no, no, no, no, no, no, no,
33:30
no, no, no, no, no, no, no,
33:30
no, no, no, no, no, no, no, no,
33:30
no, no, no, no, no, no, no,
33:30
no, no, no, no, no, no, no, no,
33:30
no, no, no, no, no, no, no,
33:30
no, no, no, no, no, no, no, no,
33:30
no, no, no, no. I' m all day working
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and listening. Well, sometimes I realize that I listen to music that even
33:36
I didn' t choose that Spotify' s recommendation algorithm is taking me.
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He' s gonna like this straight and if he' s gonna take you.
33:45
It certainly makes me know new things, of course, but it is
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true that I no longer decide. And that' s the thing, the
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decision point. If we, as people decide or are guided comforted in the
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digital world and artificial intelligence, Anna arent said that culture requires an effort.
34:12
However, entertainment is pure pleasure and if we are in a society that seeks
34:17
pleasure and in some way also trying not to spend our own energies and someone
34:24
spending them for us, it is not. It' s very good your
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comment, so I had now introduced. Here I found the name of the
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neurologist, the compatriot who lived in France, who went into exile in France
34:40
in the military dictatorship and ended his career as a neurologist in France is called
34:51
Miguel Vena sa already come there and says when we compare ourselves to chap GPT,
35:00
we lost that not because we are less intelligent. Jab GPT has a
35:06
great database that within seconds toured you millions and millions and millions of information relationships
35:10
that we cannot have. It' s like me with my 100 kilos,
35:20
they ask me to run 100 meters against someone. I walk ten blocks a
35:24
day. Not better said 10 kilometers a day. Sorry to be all right.
35:30
But if I want to compete with someone who weighs 70 kilos and runs
35:36
50 kilometers a day, I' ll never be able to give it good.
35:37
But there at Fredo you get into another subject that is very interesting and
35:39
that it is essential to ask us what education is, what it is to
35:45
learn and what it is to teach and what it is, in any case,
35:51
to educate us, whether it is or whether intelligence is nothing more than
35:55
having dates in the head and in names or whether there is something else you
36:00
refer very well to what you do that makes you learn about certain things.
36:02
If I can learn the lyrics of a tango because I am excited to think
36:08
that my grandfather sang it, it will not be an education by comparison,
36:15
as the machine does, by correlation, because the machine, in order to
36:21
give you a data, did a lot of correlates and came to that.
36:24
Instead, we can come by feeling, by emotion, by our own culture
36:28
and by our own identity. Well, what' s in question here is
36:34
that if one, if education delegates spaces to artificial intelligences. What is delegating
36:42
is human exchange and that is what you in some way are thinking about.
36:49
We learned and have great teachers of a lot of things. The value of
36:53
the teacher, then the value of people is teaching that it' s not
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exactly a machine for this is in question. This would be good to have
37:02
a pedagogical look. Not too. I' m not far from that.
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But, for example, it has to do with the emotional. Six months
37:10
ago, a robotics conference presented a product that is already on the American market
37:17
called Moxi. What' s it about? Moxi. It' s a
37:24
little robot, it' s an artificial humanoid intelligence that has it I'
37:31
ll show you here I have it on the screen so you can see that
37:37
I present you boxi aha, it' s a little boy. He'
37:37
s a little boy, he' s like a little bit or maybe the
37:43
same height as your little boy. Yes, more or less Chinese, yes,
37:45
of course, but what Mogi does, which is like big moxi gino
37:52
back, has what chap gpt or some of those artificial generative intelligences and is
38:00
programmed, as it connects in the Wi FI of the Internet house, to
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search in a large database that he has for backup. But as it is
38:10
programmed, natural language returns to you what you do. You asked him in
38:17
spoken form with the probabilistic speech that robots have every time with your ability and
38:23
understanding, let' s say. It' s directed, personalized. He
38:28
' s personalized because he' s an assistant, a super assistant. It
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' s an existing one for elementary school kids now to help them with homework.
38:39
Well, it' s just Sarin said Sadin that among the trades,
38:45
he poses three levels of trades that are going to disappear. And the first
38:47
are the administrative tasks, the secretaries, the accountants, because all this has
38:52
already been carried directly by artificial intelligence and then come the super assistants, who
39:00
are the ones who on demand are going to raise what you want. I
39:06
say if you want to have a lawyer to defend you to what extent artificial
39:10
intelligence is going to be more efficient than that professional you know. However,
39:16
if we continue to quote from human capacity, empathy and power, somehow convince
39:27
the other about reality and facts, but take other paths that are not just
39:34
cold data. Sure, sure, there are professions whose data are very parametrized,
39:45
medicine, by axis, of course and there they will enter very strong
39:47
and there will be displacement in the world of the scribes, in the world
39:53
of the scribes, in the world of some profiles of the law. But
39:58
here what concerns me in the world of education, because I believe that what
40:05
is behind is all this, which are the big corporations, are the ones
40:08
that arm the agendas of the Davos Forum, are the ones that sustain the
40:13
new world rights, of which our President is an exponent, would seem chosen
40:19
in terms of generating violence, generating this protection, provoking these types of products
40:25
based on artificial intelligence. It is not that artificial intelligence is bad good depends
40:44
on its political, social, cultural and educational implementation, It depends on the
40:50
products that are imposed on the market. Now I see that Moxi is an
40:54
interactive learning assistant, emotional support. What happens when a child, instead of
41:02
meeting with his neighbor, with his older brother to do the homework, a
41:07
year ago, two years, three years, four years ago, doing the
41:12
homework with a Moxi bot, with a bot that also replaces the parents.
41:19
No, what' s going on there? So there' s got to
41:22
be a look at the truth there is that I don' t know the
41:25
question, but I don' t say it' s Black Mirrowo live.
41:28
Maybe he' ll be a very good- thinking guy for the Davos market
41:34
or for the Silicon Valley market, but I don' t know if he
41:39
' ll have the Spinetta skinny sensitivity to play Grisel as he played it a
41:44
few minutes ago. I remembered a movie called a shadow. You will soon
41:47
be from a text by Osvaldo Soriano, who was from a man who was
41:53
looking for the Martin Gala. Let' s just say what' s going
41:59
to happen today with looking for the Martin Gala. Not that it could also
42:02
be artificial intelligence to hit some casino. This is all to put Julie Talayo
42:08
and Martin Gala look up. Life is at stake. Three good looks that
42:36
no one, very good we no longer depend on luck the passion munieta that
42:54
raises the po or wine an alpha or it was not that you make hole
43:08
two steps of the way To your mouth goes my love cough Martin for my
43:22
mysterious domain of the things of trantor is by gua people in batuda contreja goes
43:51
up the tide of not turning away a witchcraft made of cis no work.
44:01
The back door paradises me who was the god who never loved me here.
44:12
Dreams postponed tonight already demand it. It was this and to your mouth woman
44:27
goes my love your deciere Martin Nana mysterious domain of the things that are by
44:37
his knowledge n is happens jesus, the new voices of tango of the Buenos
45:02
Aires music. I am very struck by the attention of this girl Julie Talazo
45:10
Martingala and the last block with Alfredo Moreno, a delicious program of today,
45:16
of this ecosystem of education in times of artificial intelligence. We said somehow that
45:25
States are already developing agreements with these international corporations. The most obvious and close
45:36
case that we have the manifestas in your note is that of Uruguay, with
45:40
a very interesting educational program, that was the SAIBO program, that was generated
45:45
in times of the broad front, program is IVAL, but that now takes
45:53
it to the street POE and also incorporates agreements with Google for education in general,
46:00
for the education sector. Education in Uruguay. Public education Uruguay is being
46:09
googled, Googlia, googled, ugleized years ago. First because it already has
46:16
a signed agreement to have Google' s own fiber go out to the Internet,
46:22
because of Google' s trans- ocean fiber. We don' t
46:27
have it. We don' t go out for other companies in the tonins.
46:32
Google arrives in Argentina, but only in order to link its services in
46:38
the Cloud, services that need to have their own fiber between their data.
46:43
Center for a question of latency. Not belly there because it' s not
46:46
going to run the program and it' s a very technical thing, but
46:51
it' s in Argentina. But for your own, let' s say
46:54
your own data center network. Now what' s the last deal and good
47:00
and give him a number of Gmail accounts. I don' t know thousands
47:05
and thousands of Gmail accounts with storage measured between vite free of charge, all
47:13
that is Google Drive to store content there documents and the platform of distance education
47:23
free of charge for the Uruguayan public education system. That' s the deal
47:30
and that' s what' s starting to be used. And there are
47:35
many colleagues, even from the education sector, not only from the ICT sector,
47:42
who are generating a debate in opposition to this, precisely why we talked
47:46
at the beginning of the program, because there will be the fingerprints with which
47:52
Google will continue to do, grow its products and continue to know the systems.
47:58
They need to know the educational systems of each country, the contents just
48:05
so that they can then command these contents and guide them as they are always
48:12
oriented. We all know that the data is skewed in any kind of opinion,
48:17
but we' re all going to end up googled. Then the question
48:22
is that alarms must be raised, because ending googled means, as I said
48:30
earlier, to lose human sovereignty, sovereignty of a critical thought, independent thoughts
48:37
that can have a scientific, technical, social, human formation and thought that
48:45
benefits the interests of the country where people are formed. There' s something
48:51
we need to be clear about, this bias thing, this word that now
48:55
appears very repeated and that has to do with the algorithm not being objective.
49:00
It may one thing or another, but it is not objective without having some
49:05
kind of tendency. Not the algorithm, not so much the algorithm, but
49:09
it would have the data that are selected to train algorithm. An algorithm needs
49:16
data, like we need water and food. Without the data it' s
49:22
nothing, it can' t produce anything. And those data are defined data
49:25
structure, what data will work, the data of subsidiaries, the data and
49:30
DEU of ethnicity, etcetera, etcetera. To conclude, as the first experience
49:37
concluded, fortunately, failed because there were many criticisms of the experience in Salta
49:43
with Governor Rutoay who wanted to lower the pregnancy of teenage girls and the artificial
49:51
intelligence developed by Microsoft there in that province and commanded by one by Dr Albino,
50:02
a strantano who was against the abortion law. He defined the data structures,
50:07
thus the algorithm concluded that every girl of fourteen or fifteen Witchies became pregnant.
50:15
Inevitably. Let us remember that this albino is that he is distributing the
50:20
milk now and that he is appointed to distribute the letters. You' re
50:22
right too, but what about these multiple artificial intelligences, because we see the
50:31
behavior that some might say to you no. I don' t know about
50:34
this. Do you have to look for him there? Or do you have
50:36
to look for him here? But there are others who risk making some sort
50:38
of comparison and start throwing vegetables at you and start hallucinating. This is also
50:46
feasible, of course, because artificial intelligence will return what the data set.
50:54
Let' s say what you create and process based on the data set you
50:59
have. It has no capacity, it has learning capacity, an algorithm,
51:07
let' s say now learning capacity, an algorithm depending on the data.
51:12
It takes data and then certain processes that are guided by people and analyze the
51:17
results and feed them back into a new training. He' s learning more
51:22
and more. That' s the distancing not exactly and the stylizing of data
51:28
exactly. This if here bias can be all this defines it in people.
51:36
It' s not like there' s no life of its own. It
51:38
' s still commanded by people. So, when people define a data structure,
51:44
they' re going to put the bias of the person' s thinking.
51:49
That' s why we' re saying the teams that define the data
51:53
structures have to be multi- professional. There has to be a convergence of
52:01
views on what you want to get. If it' s health, it
52:07
can' t just be a doctor and what black boxes are. The black
52:10
boxes the algorithm, because to understand how an algorithm works, there you do
52:15
have to have, you have to have mathematical basis. It' s going
52:21
to be relational, because it' s how an algorithm is built with it
52:28
' s written with programming language. If you can apply a model. I
52:30
tell you neural networks how you look at me if that' s what?
52:34
I tell you this valley valley algorithm, what is that? I tell you
52:45
K continuous, what is that? They are all mathematical models that you have
52:50
to understand and then program them. And when the program is done, those
52:53
programs, those algorithms with the data, they produce the result that' s
52:59
going to be produced according to the model that' s been implemented. For
53:04
example, all the most common things here are sorting models. They' re
53:09
sorting algorithms, which is what' s most used. This is used a
53:14
lot already in the advertising world, in the marketing world, in the world
53:17
even knowing, for example, banks are big consumers of this type of algorithm
53:23
that know the offer they have of their products in the population. Then it
53:30
allows you to improve the business. So what I' m saying is not
53:37
all professions have to know algorithm. We don' t all have to be
53:40
doctors. We don' t all have to be engineers, but if we
53:45
meet at a table each, maybe we can get a clearer product. Therefore,
53:50
when I say in my first approach to education, educators do not know
53:55
what processes are like. They have to have information. Someone coming from my
54:01
side has to tell them what algorithms mean that there isn' t one there
54:07
are many models. You don' t have to know high math. They
54:12
have to have information. It' s like one in my juventunces said scientific
54:16
outreach. That' s what I mean, education in general, was linked
54:25
to ethics and to the sages, who were usually philosophers. However, it
54:30
gives the feeling that in this world, which we are going through in this
54:36
anthropological change, the dominant voice is made clear by engineers because this is their
54:43
world exactly as it seems. You' re influenced by DNA erix, since
54:49
we named it so your world. The model is techno capitalism, that is,
54:53
it is not science and technology, as it was until the year nineteen
54:58
hundred and sixty. Today there is a tex or capitalism or techno science that
55:04
is directing our realities and shaping the models of life in which we were going
55:09
to be. Scientific technological development has always enabled societies to change their way of
55:17
life. The difference that now happened when it began in one thousand nine hundred
55:24
and sixty of the research of universities and research promoted by the State, there
55:30
are private investigations. The first Silicon Valley companies were founded by scientists from California
55:37
universities and were anchored for a lot of silver put by the Shenhauer government.
55:45
That was where private research began and that private research led companies to develop products
55:52
that needed the market. Then there the technique that the tool to produce those
56:00
products market took notoriety. And today we are in a techno capitalism that makes
56:06
us distance ourselves from human life. Practically two final minutes at home, as
56:13
we are, because we are talking about Uruguay, but now our President just
56:17
came back from a trip and expressed some alarming announcements. They are alarming as
56:24
everything our President says and worrying for society. He went to look for silver
56:30
and brought two contracts in the hubalija that Argentina signed, one with the label
56:42
Metaverso, which is best known by Facebookenborg by Metaverso. Metaverg is a platform
56:52
of human life through a virtual iconography. You don' t tell metaverse you
57:02
choose your virtual life and live there, inside that platform as an inhabitant through
57:09
your identity there if virtualized. The theme on these platforms is that you can
57:17
show what you won' t show in real social life. You can be
57:22
totally untied and say the things you come up with without anyone calling you neuropsychic,
57:31
neurological deviations. By the way, our President believes that he is living
57:37
to get one avatar and to be another and to be another actually, through
57:43
that avatar to you others. Our President believes that this platform of metaverse is
57:46
Argentina, because when you see him, he believes that it is his avatar
57:52
that lion and he and he believe that he can say whatever he wants and
57:57
has no path or any cut. That is a problem for Argentina, because
58:04
its carvel offers this platform to modernize the state and President Millay says he is
58:14
proud to be a mole that comes to destroy the state. So this is
58:22
a risk. Sure. The population, which today can neither eat nor have
58:28
remedies, is far from seeing this as an irrigation, because the risk,
58:31
is cold, food and medication. That' s not on Facebook. Sure,
58:37
that' s not on Facebook. But the road is that they'
58:42
re going to modernize. The small letter is not published and the other contract
58:47
is with Google. Google comes to do something equivalent to education in Argentina.
58:54
Google. They say, we draw the map of the world and the great
59:00
seeker of the world. Now we are going to draw the map and seeker
59:05
of world education. Those are the two worrying things. In terms of I
59:10
want to make a recommendation from a novel clear. The novel is called clear
59:15
and the sun of casuo and sure last Nobel Prize in Literature, where it
59:23
speaks of what it means develops a relationship between clear, which is an artificial
59:30
friend, an artificial friend as life assistant to the character of the novel,
59:36
which is a teenage girl who begins that parents buy these artificial friends in Japan
59:43
in stores so that the girls are not alone in the house. Wow,
59:47
what' s the name of the novel Clara and the sun. Good recommendation,
59:52
Alfredo. Thank you very much, oh thanks to you, Luis Laceres,
59:57
equally to do and thank you for the tanguitos, Alfredo Moreno. In
59:59
the ecosystem of education, in times of artificial intelligence look for the novel surely
1:00:05
we will read it. We will read it in the technical operation, that
1:00:08
is yellow, the production of melina Reboa, the mother of jin Not just
1:00:13
my name, Luis de Giovannino. Thank you very much until all the time
1:00:24
Chas I, many Chris Audi and all Chinese at large. Boy come on,
1:01:04
but I' ve