WEBVTT

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For your seven trillion dollars in the
Villamos legus two see that there is risk

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is ninety percent of SMEs that generate
eighty percent. Give me twenty minutes of

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your time and I, in return, give you information on the most relevant

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issues in foreign trade, tax and
customs with a human touch and let'

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s do a trak, a podcast
of maga TVs and Mexica chi Hello.

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How about good afternoon welcome, let' s barter, as you know,

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a telc magas event in Mexico today. I' m so glad you'

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re with us. We have a
very interesting subject that Dr Juan Irich Pérez

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García is going to accompany us,
which is legislation in artificial intelligence where we

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are going the truth. It'
s a very interesting subject. Here you

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accompany us dotor Lich, how are
you good afternoon? Welcome to bartering hello

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very good afternoon. Thank you very
much, Daniela. Thank you very much

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Octavio Marda the organizer. I thank
you for a pontal end to FTA again

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for extending the invitation to me for
participating in these capsules that began since the

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pandemic. It' s got to
go for four years now. I didn

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' t give up if I did, I don' t remember more than

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three years. The truth is,
they' re already here. No,

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I don' t, really.
They seem very interesting to me because at

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the end of the day, they
give us all these little pyloras of knowledge,

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on which, then, we can
be learning. Obviously, not on

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some new subjects, because thank you
very much, for being here. We

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already missed you because I had time
that you hadn' t connected and usually

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you really accompanied us to make these
truequets. But I have some news for

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you, and I want to invite
you now. This Thursday 12th of October

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telec and with Kanako and work collaboration
Asciation is organizing the second International Summit of

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Foreign Trade and Customs Theories, where
if you have it out there and you

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know more or less, you can
show us this already because we made the

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video and now we will put it
to you. But where we will have

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renowned experts at national and international level, such as Octavio de la Torre,

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Dr Ricardo Méndez, the Assistant Secretary
General of the Homa, Ricardo Treviño,

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the graduate César Cano Cuevas, who
is in charge of prodewith the teacher Fernando

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Silliceo, who is General Director of
Inspection of the Secretariat of Labor and Protection.

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So it' s really going to
be an all- day event,

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well, almost all morning, that
we' re going to be connected,

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but above all with the intention of
being fulfilling, that is, rather looking

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for the compliance of companies in foreign
trade and customs. And all these related

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issues, as is the part of
the work that is now being demanded of

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us companies, as obviously the customs
part. And well, in case you

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have a home hearing with prodecon,
so we invite you to register. Please

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help us register first, because then
the truth is saturated. The League Ahorita

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is going to put the team in
the comments that help us to have what

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is the league record. And well, you will be glad to know that

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these free events, these events,
are free for the whole Community. He

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does it with great affection, wanting
to share knowledge and, well, obviously,

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also with organisms that help us to
do this type of event, such

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as the Work Companies Association and with
Carnacoserdito Octavio. I do not know if

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you want to make any comments,
because greeting my friend Juan and Litchi,

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also on the Toño Carballido list,
and all those who are joining these barterings

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that are already a tradition in Mexican
foreign trade, and therefore, inviting them

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to participate in this second International Summit
of Audities in eating out. Customs really

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seems to me that the effort that
is being made is important. The monitoring

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aspect is fundamental. Let' s
just look at the income and income law

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that is being proposed in Congress,
which is in the process of discussion and

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approval, that is, if you
clearly identify, since there is no crime,

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there is no general amendment increase in
tax matters, but if there is

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an increase in what the Government is
committed to generating in terms of revenue in

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order to be able to comply with
that budget that we intend to exercise next

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year, then it is essential that
we be vigilant, that we participate in

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these kinds of activities that we try
to pull out and our notes carry out

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those best practices that are always driving, especially from the perspective, nothing else

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that is going to be touched,
that is customs. If they don'

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t notice. They will also see
social security issues that are to be foreseen

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within this second summit. Then invite
them to participate, to join, to

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share, to send the neighbor,
the friend, the supplier, the client,

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the boss, the owner of information
so that they can be participating and

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return the controls to you. Daniela, thank you very much. Well,

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it' s telling you that on
October 12th, this Thursday, at eight

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o' clock in the morning or
center time, we' re going to

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start this event. So everyone'
s invited. We already put in the

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chat the league for whoever wants to
register and now yes, Ilich, forgive

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me for giving you this time,
but nothing more. We wanted to invite

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the whole Community that, as you
say, we started by making these croques,

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but also part of making this exchange
and continuing to provide knowledge is also

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this kind of eating Yes, of
course. Thank you, Daniela, a

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thousand thanks, Octavio and well,
ay maestro Dr Lupita. I almost forgot

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to say hello too. Thank you
very much for the invitation. Well,

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no further preamble. I don'
t know if they' re already watching

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my screen here. The topic of
hearing is to talk a little bit about

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legislation in what is artificial intelligence matter, that is, everything we know as

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a day, shortened there by its
name in English, Where we are going

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and what expectations we expect. It
is very interesting, because Ahorita is a

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very fashionable topic, not only in
Mexico on issues in international law forums,

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but also in the congresses of several
countries that have been legislating. France,

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although I am going, although I
am not going to get into the European

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Union right now, because it brings, there are some very interesting issues.

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It brings this conflict there with chat
GPT, but well, it is a

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very much so topic in several countries
that have been legislating a little bit about

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the matter, even companies like I
represent, because they have also been asking

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us several questions about hearing these months. You know what legislation is in your

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country, what the guidelines are,
and how I explain it to you.

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Well, let' s do a
little bit of what we' re going

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to be driving next. First of
all, I would like to give you

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as a reference that, because of
the novelty of this topic, we are

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going to examine how some countries are
going and how it is going or not

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going to Mexico. And above all, it must be emphasized that there is

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no global, defined and agreed definition
for artificial intelligence. However, there are

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some authorities who, as they have
been talking more or less about it,

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have been doing so. I mean, you know that. What the legislator

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does is not always be so brilliant
per se, but realizes. He invites

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specialists, he invites experts. In
this case we are mainly talking about engineers,

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obviously, to be able to understand
a little bit more about the subject

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and at the end of the day, thanks to these developers, because being

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able to legally land the topic and
provide a little more of this knowledge to

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himself and society. Okay. In
this vein, the Congress of the United

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States, in the last initiatives it
has issued in two thousand twenty- three,

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does not have much time to issue
them. In the two thousand twenty

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- three, you' re teaching, you' re converting. Pants,

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yes, you don' t see
no to see or and taking advantage of

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the victory and I feel very sorry
for it. I left super fast.

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But while you share, good screen, already perfect. There you are,

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you see me, okay, I
think you' re already seeing it.

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Okay. He told them that the
Congress of the United States, in this

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case, defines artificial intelligence as a
system, a machine- based system,

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which can make, through defined objectives
or through a human configuration, make predictions,

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recommendations or decisions that influence virtual or
real means. Congress itself adds that

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all artificial intelligence systems use inputs of
data, human beings and machines and from

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there, they can perceive these virtual
environments and real environments, abstract those perceptions

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that they perform in automated analysis models, and also use such models to generate

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information or action options. In the
case of information, we have a little

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bit of the not- so-
used GPT chat theme these days. What

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are the elements in this case?
First of all. We have to be

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a system and by system we mean
a computer programming or software, that is

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to say, to shred a little
bit. Artificial intelligence is something relatively new,

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but it is something new based on
pre- existing developments that we already

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had only that to a certain more
archaic point of view, that is,

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it is a system much more specialized
than and that p ons and already in

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a talk just less than a month
ago to which I was invited at the

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National Polytechnic Institute that we were talking
about that, specialists of the POLI,

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specialists of the MIT. I was
half lost because I was one of the

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little lawyers, but there were a
lot of engineers, very specialized. And

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engineers, for example, give us
the Inside, which you know what,

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by its nature, that is,
by the complexity of the system and the

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economic investment it needs. It is
not governments, but it is neither the

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academy that develops itself nor the one
that is developing mainly artificial intelligence is based

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on its development, but in general
it has been the companies that have been

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the leaders in this matter. We' re talking about a system like this,

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but very specialized. This is one
of the elements. However, it

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is a software that is based on
machines and again we go to the issue

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of investment, by specialization or by
nature, by the specific needs of these

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machines, of the capacity of these
data centers. Of course, only certain

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companies have made the necessary investments in
order to develop them. I mean,

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it' s a system. We
have the combination of what software is with

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what hardware is, which are machines, through which these artificial intelligence tools can

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be enhanced. We are speaking in
turn that artificial intelligence has to do with

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a configuration or programming, that is, it is not born by itself.

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There' s someone behind us and
we' re going to the fourth element,

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which is the human element, that
is, people are involved. Of

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course, once people intervene, artificial
intelligence can learn by itself, being in

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this ecosystem, in the environment,
mainly on the Internet, now that it

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is interconnected in error and testing,
but in the end, at the beginning

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of the day, because it is
the humans or it is this intervention of

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people that generates this system or this
algorithm, if they want to tell you

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that it is the next element,
this defined objective, that has to be

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programmed, that it has to be
systematized, for what good, so that

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in the end the result that this
artificial intelligence is going to have and there

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are three other elements for this result
can come based on a prediction, for

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example, if we are talking about
information, a recommendation or a decision,

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what this means, well, will
depend on the nature for which we use

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this system, the result that it
is giving us. If we' re

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talking about a prediction, because obviously
the result or the available universe of information

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that this artificial intelligence system has,
it' s going to calculate what probability

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exists that the following happens or doesn' t happen and through there it makes

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that prediction, like the so-
called essays, for example, writings that

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are made of artificial intelligence. Well, it' s going to be a

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prediction of what the next word is, what' s the next statement that

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corresponds to the previous input, that
is, based on the previously available idea,

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without it necessarily being such a logical
thing or without it necessarily being such

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a congruent thing. At the end
of the day we are talking about a

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prediction that, with the information available
is making this tool, can itself and

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through this analyzed information, make a
recommendation, that is, with us lawyers,

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for example, what we see a
lot in artificial intelligence analysis. When

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they ask us is wonderful, the
truth is, because it is super easy,

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and when they ask us to contrast
documents that are very long, well

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you know what if you are going
to compare two documents, if you can

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do it in the typical program,
for example, World, but what happens

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when one document is in word format, another is in pdf, another is

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in another format? If you have
an artificial intelligence system capable of comparing two

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documents in different format, it is
fantastic, because there the result is that

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it gives you a recommendation. Listen
I recommend you double check, for example,

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the first of the two compared documents
or the three or the five,

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because there are three elements of discrepancy
with the others. Then it can generate

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a recommendation regarding the information you provide
to this artificial intelligence system, depending,

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obviously, on how this mechanism is
used. You can also say and right

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now let' s go a little
bit to uses if you' re using

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it for marketing or market purposes.
Tecnia can analyze the trend of purchases,

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the trend of opinion, the tendency
of age groups, of groups of a

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certain social stratum of a certain city, about what they buy, about what

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they think, about how they behave
and about that to give a recommendation also

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clear, we talk again about the
universe that has available data analysis. Or

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finally, and it would be a
little more controversial here, but it does

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eventually or it can at least,
it can make this system a decision,

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that is, it can make an
automated decision as to what you tell it.

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I don' t know, going
to a bank credit approval, well,

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there can be a cino automated system
where, by analyzing the data,

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the artificial intelligence system could decide whether
or not to grant you a credit.

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That will also be done on the
basis of information mechanisms that analyze based on

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obviously, the type of qualifier that
has available the complexity of the algorithm that

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we talked about. Of course,
this algorithm at the beginning of the day,

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because it is realized by people,
by human beings that feed this system,

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not only at the time of generating
it, but also at the moment,

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because being evaluating it and right now. Let' s talk a little

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bit about this evaluation or this input
into the mechanism, already permeating the functioning

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of artificial intelligence. Well, what
the results are going to be and you

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have to be very careful about this. The information output, or we were

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already talking about the three elements.
These predictions, these recommendations or these decisions

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you can make will depend on the
input of the information of how much information

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is available, that is, how
powerful this system is to absorb information,

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but also of quality, that is, how sophisticated the algorithm is going to

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be with which we generate an artificial
intelligence system so that, by itself or

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through the best of a twenty-
four or seven evaluation of a group of

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experts who are behind, you can
identify how good or bad the quality of

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information you are analyzing is, that
is, what parameters the system can use

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to discriminate information that is not of
such quality and give primacy or give a

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different value, that is, a
higher value or even a zero value to

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information that is garbage and a hundred
value information that can be considered, one

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hundred percent verifiable hundred percent truer for
based on that input of information give a

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way out, that is to give
a more real, more consistent response.

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What' s the other result?
Well, we' re talking about the

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fact that, as we said,
they actually intervene in machines, or they

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intervene in hardware and it' s
very sophisticated, but human beings and right

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now are also involved. That is
why we are going to the section of

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the legislation, that is, people
are involved. People intervene who consciously or

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unconsciously, at the time of generating
this algorithm, at the time of generating

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this system, at the time of
monitoring this system, because they may have

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certain tastes, certain prejudices, certain
pres acquired, a certain perception of reality

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that may or may not be objective
and that may or may not have parameters

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of objectivity at the end of the
day. It' s something that happens

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in reality. Google has already had
an incident, in fact, a couple

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of months ago with this system where
certain people I mean you already know that

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today the race does not even exist, but considered a particular race by skin

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color, I identified them not as
people, not as human beings, but

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as certain species of animals. When
they come in to analyze hear, for

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what is the error of this system
that we are using artificial intelligence. They

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realized that the error was not of
the system itself, that is, the

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system did have a mistake, but
it was not that it was learning bad,

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that it was developing badly. It' s just that from the source

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he had that damage in algorithm and
that algorithm had been generated, because by

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a person, obviously by a human
being. That is where this result also

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comes in, which will depend on
the quality of the information to enter.

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We talked that, as a result
we already said in the definition, it

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will perceive a virtual or real environment, that is, it will realize a

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recognition of the reality, it will
realize even a mimetization of the system.

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I imagine that some of you have
already seen I say even for fun maybe,

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this recreation of images, this recreation
of videos, this recreation of sound,

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that is, of voices or external
sounds, of environments of reality that

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are really not directly recorded from a
real environment, but generated by artificial intelligence,

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for example. And that' s
the perception that can mimic this kind

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of odes systems, this kind of
mechanisms, both virtual and real, abstract

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them, analyze them and many times, obviously I say what a wonder it

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' s not that it might be
analysis that would take days, weeks,

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months for human beings, because this
whole world of information, generate information options,

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generate action options, generate automated analysis
models. We, the lawyers,

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for example, when we read thesis, jurisprudence, when we are, for

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example, in other countries that we
might take longer, because in Mexico we

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already know where to look is a
little clearer where to look for doctrine in

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another country. Not so much,
the advantage with artificial intelligence, which can

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be, then, that a well- developed mechanism can analyze that in less

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than an hour, what it would
take you days or weeks to look for,

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for example, and is an automated
analysis, that is, maybe it

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is not giving you a result.
But if he' s analyzing you,

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listen to the topic you want to
look for, which might be very specific.

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Maybe it' s the result of
a judgment on mergers of energy companies

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from two thousand ten to two thousand
fourteen in the northeast of the United States

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and maybe it automatically gives you the
results and can give you a brief summary

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of each result. So what would
take us days or weeks, because an

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artificial intelligence system can find it rather
agile, because it does it in a

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fairly automatic way. Now what are
the legal considerations, which is, after

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a little bit understanding the subject of
what artificial intelligence is, of what the

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system is, let' s go
to the legal consideration and tell them something

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a little funny. I don'
t know about Congress, and other Congresses

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have. But the U S Congress
when, when a couple of months ago

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it joined the specialists told them to
hear you know what. To companies,

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the truth is that you have time
to carry out these developments. It'

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s not something new. We know. However, we have never been serious

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about legislating on and studying, especially
because legislation cannot be steamed. To study

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what we are going to legislate,
then why don' t you stop and

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launch an open letter by several experts. Why don' t you stop about

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six months or not less like a
better year your developments, so that we

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have time to analyze it, think
about it at best, talk about it

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with the pillow for a couple of
nights. The reality is that that usually

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happens to us. That is to
say, companies are developing, and not

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only on this subject, but on
all the topics that you can see in

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technology matters. Historically, then we
go back, running them, trying to

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legislate, trying to generate legal guidelines, even constitutionally modifying them if necessary.

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Why I' m talking about legal
considerations, Well, above all, I

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was talking about the human element involved
in the generation of these artificial intelligence systems.

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At present, there is no legislation
in Mexico in this regard. As

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in many countries. Nor do I
want, as certain people who try to

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make jarakiri is that Mexico is always
in line, when all the other countries

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already have a whole baggage. No
yes, there have been a couple of

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initiatives, but no series, none
in analysis. In fact, we had

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one of the specialists in the Congress
here, from the Union of Mexico,

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exhibiting a couple of weeks ago in
another forum and he, frankly, told

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us. You know what. Honestly, we have no initiative being discussed here

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00:25:07.920 --> 00:25:12.039
in plenary, let alone that we
know that, from here, two thousand

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twenty- four before the end of
this six- year term is going to

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00:25:15.839 --> 00:25:19.079
be a law neither of the opposition
nor of the ruling party. So there

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really is no legislation on this,
there is no serious initiative. That is

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how we are today here in our
country, something that is a little late.

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Let' s say with reality,
because we see that with the Near

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Shorring, that is, before the
Near Shorren, I don' t want

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them to see this either as something
novel. Investment, foreign direct investment,

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we already had it, was already
considerable at the national level, we were

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already an exporting country. But now, with the neur Shoreig, it has

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only exploded, growing, especially in
certain places that we already had an export

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element in the Mexican Republic, which
has happened with the Neer Shorring. Well,

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00:25:59.720 --> 00:26:04.000
the interaction with new technologies, in
particular with artificial intelligence in industry and

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00:26:04.079 --> 00:26:10.759
commerce, is going to be even
greater. That is, we are seeing

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that there are countries, Ahorita,
we will mention that they already have a

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predominant role, not so much as
government, but their companies, within the

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development of artificial intelligence. What'
s going on with Mexico? Well,

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he' s still kind of seeing
and he' s not quite sure where

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he' s going to legislate to
promote, probably the local development of artificial

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intelligence or the attraction or both from
abroad of this kind of developments, on

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the one hand and on the other, of course, not just Ahorita.

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Let us give some examples. To
protect the consumer, but to protect the

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general public from any risk they might
have in terms of infringement, human rights

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of infringement, copyright, infringement also, of course, because, to topics

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such as image or data privacy,
examples of interaction between the neer shorring and

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artificial intelligence. Really every company that
is going to invest uses artificial intelligence to

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support it in development, from analyzing
the feasibility of investment in a place,

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depending on the resources available, from
raw material, from water, from previous

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conflicts that may or may not have
opened with that industrial sector, from logistic

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capabilities, that has a certain region, labor, available, total costs,

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taxes to pay markets And it is
going to develop for a local market,

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Or if it is going to develop
to export. Well, if your target

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market is plausible, where that industry
is going to be established, which is

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the fast receiver of your products,
then we actually use artificial intelligence for many

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of the areas of many companies that
we export, both at the time that

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you are managing or performing the production
or service and at the time of analyzing

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the behavior of the final consumer.
Well, there are other countries where,

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for example, Brazil has more serious
initiatives. It has a law, in

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fact, two thousand twenty- one, but it' s a little archaic.

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In fact, I saw him with
my Brazilian colleagues a couple of weeks

335
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ago. But there is already an
initiative, a little more complete than two

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00:28:41.359 --> 00:28:47.400
thousand twenty- three, not so
much promoting artificial intelligence. Developments in your

337
00:28:47.440 --> 00:28:52.440
country or the attraction of foreign investment
in the matter. But yes, at

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least trying to cover a little bit
the area of protection of the people,

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00:28:57.400 --> 00:29:03.440
that is, of protections of the
human rights of the people and the possible

340
00:29:03.920 --> 00:29:11.920
violation that could be seen in terms
of artificial intelligence. On the other hand,

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I was already commenting on the issue
of the United States at the beginning.

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Unfortunately, there is still no specific
law on artificial intelligence in the United

343
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States. There have been some initiatives
in the United States. Probably and that

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00:29:29.880 --> 00:29:33.839
is a totally opinion your server is
more reluctant to this kind of information,

345
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to this kind of topics, because
America is one of the pointers. It

346
00:29:38.680 --> 00:29:41.279
' s no one' s denying
it good. Its companies are among the

347
00:29:41.400 --> 00:29:49.119
leaders in the development of artificial intelligence
have adapted it to a multiplicity of situations

348
00:29:49.480 --> 00:29:52.920
in life and in the market,
of course, and in the industry.

349
00:29:53.079 --> 00:30:03.920
So there is still no legislation on
artificial intelligence. I honestly don' t

350
00:30:03.319 --> 00:30:08.160
know if it' s because the
legislators in the United States are waiting for

351
00:30:08.160 --> 00:30:11.319
the platforms I' m saying to
self- regulate. It could be a

352
00:30:11.319 --> 00:30:15.359
reality. Artificial intelligence development platforms might
say don' t worry. I'

353
00:30:15.480 --> 00:30:21.559
m going to self- regulate how
efficient that self- regulation is going to

354
00:30:21.559 --> 00:30:25.200
be. I don' t know, I don' t know, I

355
00:30:25.279 --> 00:30:26.240
don' t have a parameter to
tell you. It' s going to

356
00:30:26.839 --> 00:30:30.440
be poor, it' s going
to be very efficient, because we haven

357
00:30:30.440 --> 00:30:33.920
' t seen it. But what
is absolutely true is that there is still

358
00:30:33.000 --> 00:30:38.799
no legislation in this area. There
are other countries, however, such as

359
00:30:38.920 --> 00:30:44.880
the Republic of Korea, where it
has experience and on both sides, i

360
00:30:45.160 --> 00:30:51.519
e the Republic of Korea has already
issued on consumer protection aspects, but also

361
00:30:51.640 --> 00:30:57.400
on corporate drive, i e the
case of Korea. Knowing the country also

362
00:30:57.519 --> 00:31:03.240
as one of the pointers in the
development of new technologies, knowing that it

363
00:31:03.359 --> 00:31:07.720
has several companies and I say not
only I, I say it openly I

364
00:31:07.799 --> 00:31:11.680
represent Samsung C but there are other
companies in Korea. Believe me that there

365
00:31:11.759 --> 00:31:18.920
are several companies that are quite strong
in terms of technology, and all of

366
00:31:18.039 --> 00:31:25.119
them, because they are equally interested
in saying that practicing under this legal framework

367
00:31:25.160 --> 00:31:26.559
is to know in advance what the
rules of the game are in each country.

368
00:31:26.599 --> 00:31:30.200
Many of them have plenty of liquidity. That is why the importance of

369
00:31:30.200 --> 00:31:34.960
foreign trade hears looking for where to
invest. I need to know how much

370
00:31:36.039 --> 00:31:40.200
openness or not there is in a
given country to invest. So, in

371
00:31:40.279 --> 00:31:45.319
Korea there are several national consumer protection
laws that are so much right now.

372
00:31:45.400 --> 00:31:48.640
Let' s go to another country' s example, let' s see

373
00:31:48.759 --> 00:31:53.839
how this consumer protection is done or
what specific points they touch on. But

374
00:31:53.960 --> 00:32:00.279
also of corporate impulse, that is, to officially promote this policy on how

375
00:32:00.640 --> 00:32:07.240
to power the company, generate artificial
intelligence, take advantage of it for industrial

376
00:32:07.319 --> 00:32:13.759
uses, for commercial uses, for
an improvement Korea has several national institutions,

377
00:32:14.240 --> 00:32:22.640
such as the Korean Traide Association and
research institutions that are constantly evaluating the competitiveness

378
00:32:22.759 --> 00:32:29.160
of Korean companies, both within Korea
and globally. Both rich you who say

379
00:32:29.599 --> 00:32:32.599
that you seek to regulate the algorithm
or data protection, in fact, as

380
00:32:32.720 --> 00:32:38.279
part of consumer protection. They are
both the algorithm protecting consumer human rights and

381
00:32:38.359 --> 00:32:43.960
data protection, but also the corporate
drive that in cases like Korea is given

382
00:32:44.119 --> 00:32:49.200
a lot, that is, how
to promote development and how companies can generate

383
00:32:49.640 --> 00:32:53.839
more and generate better quality artificial intelligence
so that it can reach abroad and,

384
00:32:54.039 --> 00:33:02.720
obviously, profit. Many of these
companies, well, in my case,

385
00:33:02.839 --> 00:33:08.160
have at least tried to validate how
the issue is found in other countries,

386
00:33:08.400 --> 00:33:13.440
if there is legislation or if there
is no, then good to know or

387
00:33:13.519 --> 00:33:17.119
already try to know and identify the
risk of each country, but it is

388
00:33:17.240 --> 00:33:22.240
important for them to know if there
is already legislation, well, to know

389
00:33:22.319 --> 00:33:23.440
the rules of the game, to
know what they adhere to. I believe

390
00:33:23.599 --> 00:33:29.920
that Mexico' s lack of legislation
on the subject, because I can eventually

391
00:33:29.960 --> 00:33:36.680
lead it to stay behind on some
possible investment in these developments or if this

392
00:33:36.759 --> 00:33:42.839
investment is made, even without that
legislation, you can stay a little behind

393
00:33:43.160 --> 00:33:46.279
on how to protect the consumer and, above all, the general public,

394
00:33:46.640 --> 00:33:50.799
the general public, whether it is
a citizen or already a minor, on

395
00:33:50.960 --> 00:33:54.680
the effects that artificial intelligence can have
on good and bad people. I think

396
00:33:54.759 --> 00:33:59.000
he looks a lot better. But
still, if you ask me, I

397
00:33:59.039 --> 00:34:02.559
say right now that we will have
the question- and- answer session,

398
00:34:04.480 --> 00:34:08.719
because if we will also see what
the risks it has for factual considerations could

399
00:34:08.719 --> 00:34:14.119
be. Well, I think I' ve seen China' s legislation,

400
00:34:14.920 --> 00:34:19.000
although I don' t totally agree
with many of the paragraphs. I have

401
00:34:20.159 --> 00:34:25.920
to accept that this government is probably
the most advanced at the global level in

402
00:34:27.119 --> 00:34:34.199
terms of artificial intelligence legislation. And
why do I say it' s probably

403
00:34:34.599 --> 00:34:37.880
the most advanced country because it'
s got ten laws, but I think

404
00:34:37.880 --> 00:34:44.519
it' s as many as fourteen. China includes consumer protection, per se

405
00:34:44.639 --> 00:34:52.639
being informed when something it is buying
is being generated by artificial intelligence, for

406
00:34:52.679 --> 00:34:55.840
example, a company protection service,
as well as Korea, to promote that

407
00:34:55.880 --> 00:35:02.400
its local companies can generate artificial intelligence
developments, that they support academia, that

408
00:35:02.400 --> 00:35:06.840
they support each other, that they
are supported by government ministries of science,

409
00:35:07.199 --> 00:35:15.159
which is also very important. Then
it has laws that regulate and promote these

410
00:35:15.280 --> 00:35:20.239
issues in favor of the company.
China has data protection laws, i e,

411
00:35:21.079 --> 00:35:29.239
where encrypted systems exist, databases that
avoid violating people' s information,

412
00:35:29.480 --> 00:35:35.039
that make people aware if their information, for example, in the case of

413
00:35:35.079 --> 00:35:37.440
artificial intelligence, in the use of
their biometric data, will be used and

414
00:35:37.519 --> 00:35:45.679
or shared with third parties. They
have very clear guidelines on how to generate

415
00:35:45.760 --> 00:35:50.599
an entire system of artificial intelligence,
of formation of algorithms, which is part

416
00:35:50.679 --> 00:35:53.760
of the questions that we already had, that is, China does focus on

417
00:35:53.840 --> 00:35:59.800
one of its various laws a lot
on the formation of algorithms and ethical principles

418
00:36:00.079 --> 00:36:05.599
for the formation of algorithms, of
risk analysis, for the generation of these

419
00:36:05.679 --> 00:36:09.960
artificial intelligence systems, of auditing by
the ministries of science that these mechanisms of

420
00:36:10.039 --> 00:36:15.639
risk analysis are actually being carried out
is something very important, that is,

421
00:36:15.800 --> 00:36:21.719
China, openly already has legislation where
the government can audit the generation of these

422
00:36:21.840 --> 00:36:27.199
systems and how the algorithms work and
how these algorithms are verified, something like

423
00:36:27.639 --> 00:36:30.559
the data protection law in Mexico so
far as it has implemented artificial intelligence issues,

424
00:36:30.639 --> 00:36:37.199
of promoting the industry already told them
of ethics, of how government organs

425
00:36:37.280 --> 00:36:50.320
can interact with artificial intelligence, auditing, and manipulation of sensitive data. This

426
00:36:50.360 --> 00:36:57.000
is very important. By manipulation of
sensitive data I mean special protections aimed at

427
00:36:57.480 --> 00:37:01.519
protecting data that are considered sensitive to
people, for example medical records, personal

428
00:37:01.639 --> 00:37:07.159
homes of persons some state of health, among others, that have to have

429
00:37:07.639 --> 00:37:15.320
additional protections when these systems of human
responsibility enter, that is, that at

430
00:37:15.440 --> 00:37:21.199
the end of the day we recognize
that there are people behind and that those

431
00:37:21.360 --> 00:37:30.280
people have to be responsible for the
use of these systems. They also have

432
00:37:30.320 --> 00:37:35.039
labelling responsibilities. And this is very
important, that is, how labelling is

433
00:37:35.239 --> 00:37:40.679
important for people who are interacting with
intelligence or with perceptions of reality generated by

434
00:37:40.719 --> 00:37:50.079
artificial intelligence to have this content explicitly
labeled. That is, the content that

435
00:37:50.239 --> 00:37:52.679
the image, that the voice,
that the video, that the painting,

436
00:37:53.280 --> 00:38:00.920
that photography, among others, are
visualizing are generated by artificial intelligence and that

437
00:38:00.400 --> 00:38:06.840
do not necessarily correspond to a basis
of reality, that is, that it

438
00:38:07.000 --> 00:38:13.320
can be totally generated by artificial intelligence
that content. And finally, I say

439
00:38:13.400 --> 00:38:19.599
China guidelines of the Communist Party,
that is, how all developments of artificial

440
00:38:19.639 --> 00:38:30.519
intelligence must be based on the guidelines
of the Communist Party? Finally, what

441
00:38:30.599 --> 00:38:32.559
are they, what is the importance. Obviously, human rights and also industry

442
00:38:32.639 --> 00:38:39.119
and academia. Well, first of
all, the relevant legislation should include human

443
00:38:39.199 --> 00:38:45.639
rights that protect the consumer, as
we already saw in the Chinese case,

444
00:38:46.039 --> 00:38:54.559
for example, consumer personal data,
consumer privacy sensitivity, copyright. That is

445
00:38:54.559 --> 00:39:00.960
to say, it is important how
nice it is that my work is reproduced

446
00:39:00.039 --> 00:39:04.960
and made known to the world,
but that there is a prior consent,

447
00:39:05.159 --> 00:39:08.400
that is, that it was not
reproduced perhaps through artificial intelligence, my work

448
00:39:08.559 --> 00:39:13.719
written my voice. If I was
a singer, I say I' m

449
00:39:13.760 --> 00:39:17.119
not a so much famous and I' ve never had since even the cario

450
00:39:17.239 --> 00:39:21.760
that I sing pretty, but well, imagine that it was, that is,

451
00:39:22.239 --> 00:39:28.840
obviously, to have that prior consent
before indiscriminately reproducing my voice, for

452
00:39:28.920 --> 00:39:36.320
example, the image of people videos
and obviously avoiding that unauthorized use has been

453
00:39:36.440 --> 00:39:39.360
given, the unauthorized use of the
image of people or of some place that

454
00:39:39.400 --> 00:39:45.960
is protected from voice videos on the
whole subject and China does mention it explicitly.

455
00:39:46.880 --> 00:39:51.559
The deep fakes, that is,
the fact that you create a whole

456
00:39:51.719 --> 00:39:55.960
situation in a video in images with
you that is not real, that is,

457
00:39:57.320 --> 00:40:01.519
that you put in people under an
apparent situation people under an apparently very

458
00:40:01.639 --> 00:40:09.440
compromising situation, for example, when
it is not a real situation, when

459
00:40:09.440 --> 00:40:14.400
it is really a deep fake,
that is, it is a creation of

460
00:40:14.480 --> 00:40:22.360
artificial intelligence of people using clearly their
image, their voice and reproducing it by

461
00:40:22.360 --> 00:40:28.599
videos, manipulating medical data, for
example, that could be very sensitive electoral

462
00:40:28.760 --> 00:40:31.559
campaigns through analyses of preference, for
example, marketing, which is very sensitive

463
00:40:31.679 --> 00:40:36.679
that it is already a research in
the United States, that subject audits,

464
00:40:36.760 --> 00:40:43.159
fiscal issues and, above all,
labelling that whenever these systems are used,

465
00:40:43.400 --> 00:40:50.880
people know that what they are consuming
is generated by artificial intelligence that may or

466
00:40:51.000 --> 00:41:00.880
may not correspond to something real and
also logically. On the other hand,

467
00:41:01.199 --> 00:41:07.760
I say, as in all technological
subjects, human rights are human rights forgiveness

468
00:41:07.840 --> 00:41:14.000
are fundamental, but also, obviously, the promotion of their development must be

469
00:41:14.119 --> 00:41:19.320
considered. We have to be aware
that the issue of artificial intelligence. It

470
00:41:19.400 --> 00:41:23.079
' s not something that' s
coming or going to happen in the immediate

471
00:41:23.079 --> 00:41:25.480
future. It' s a real
thing, it' s something that already

472
00:41:25.480 --> 00:41:29.960
has time. It is something that
although certain countries are pointers, because it

473
00:41:30.039 --> 00:41:34.079
is already affecting us in very positive
ways, others perhaps, not so much,

474
00:41:34.760 --> 00:41:38.199
but it is affecting us globally.
So, well, this has different

475
00:41:38.280 --> 00:41:45.480
academies for the academy, the industry. How we can take advantage of these

476
00:41:45.559 --> 00:41:50.760
developments in commerce, in academia,
how we can realize that symbiosis, for

477
00:41:51.559 --> 00:41:54.480
example, how companies can come to
invest in these kinds of developments, in

478
00:41:54.599 --> 00:42:00.639
these kinds of mechanisms, how they
can take advantage of the capabilities that local

479
00:42:00.719 --> 00:42:04.519
in Mexico and in other countries.
But I am currently referring to the case

480
00:42:04.559 --> 00:42:07.199
of Mexico, some fiscal incentive.
I do not know what may be out

481
00:42:07.320 --> 00:42:13.679
there in the case of development,
for example, in data analysis that sometimes,

482
00:42:14.320 --> 00:42:19.159
as I said to them in the
previous examples, could take years to

483
00:42:19.239 --> 00:42:27.480
develop and now, because they are
carried out in seconds to give them a

484
00:42:27.599 --> 00:42:34.360
little conclusion and before opening a session
of questions and answers, if they ask

485
00:42:34.440 --> 00:42:37.199
me, since the developments of artificial
intelligence began and again I return to the

486
00:42:37.199 --> 00:42:39.920
same thing. That' s a
personal opinion. We each have our own

487
00:42:39.920 --> 00:42:47.039
opinion. Our experiences, even seemed
fantastic to me, are particularly on the

488
00:42:47.199 --> 00:42:52.719
side of the company, developments with
which in seconds or in fractions seconds you

489
00:42:52.760 --> 00:43:00.159
can realize marketing trends, consumption trends
new products, adapt them to people to

490
00:43:00.239 --> 00:43:05.559
be more agile in areas even at
the best. I' m very far

491
00:43:05.639 --> 00:43:08.000
from marketing because I' m in
my corner, not I as a company

492
00:43:08.559 --> 00:43:13.320
lawyer, because there with my team, with my guys, because it'

493
00:43:13.440 --> 00:43:17.360
s fascinating as maybe, Sometimes document
comparison is wonderful how systems support us to

494
00:43:17.480 --> 00:43:22.679
do the work much more agile to
see how in other areas also expedited their

495
00:43:22.840 --> 00:43:30.159
work improves in the company. Honestly, we haven' t had personnel casualties

496
00:43:30.320 --> 00:43:35.440
on artificial intelligence issues, which is
one of the so- called fears,

497
00:43:35.679 --> 00:43:40.119
at least to the contrary right now. For example, the logistics guys use

498
00:43:40.239 --> 00:43:45.559
it a lot in their systems for
analysis of routes, for the creation now

499
00:43:45.639 --> 00:43:51.320
yes, of services, of improvement
of services to the customers, of improvement

500
00:43:51.400 --> 00:43:57.280
in the platforms, of quotations,
of services, of predictions of how it

501
00:43:57.280 --> 00:44:00.280
will be the movement of prices,
for example, in vain, that is

502
00:44:00.320 --> 00:44:05.039
marine, of air shipments, of
terrestrial shipments, of the supply and the

503
00:44:05.159 --> 00:44:13.039
demand of an analysis again we return
to prediction predictions of what we can expect

504
00:44:13.079 --> 00:44:16.199
or of the risks that we can
expect in terms of ability of flotillas,

505
00:44:19.199 --> 00:44:24.639
demand of customers expectations in the future, in the immediate years, after the

506
00:44:24.719 --> 00:44:30.559
adjustment of the variability that could even
be in the climate, even then,

507
00:44:30.800 --> 00:44:37.360
it is a tool or fantastic tools
that have helped the industry greatly in terms

508
00:44:37.480 --> 00:44:43.000
of the risks of entry. If
you ask me. I think it is

509
00:44:43.119 --> 00:44:46.639
a great risk not to legislate yet, not to have legislation in this area,

510
00:44:47.079 --> 00:44:52.440
because at the end of the day, because we are behind other players

511
00:44:52.000 --> 00:44:59.639
who can take advantage of it,
even if they do not have companies that

512
00:44:59.679 --> 00:45:02.880
do this kind of thing nationally,
because they do attract this kind of investment,

513
00:45:04.239 --> 00:45:06.199
it seems to me that right now. We' re at a very

514
00:45:06.199 --> 00:45:09.079
good time. If it is not
right now, I say that this government

515
00:45:09.320 --> 00:45:16.920
is already going to the next government
in order to develop this kind of mechanisms,

516
00:45:17.239 --> 00:45:22.480
this kind of good, rather,
this kind of legislation that can encourage

517
00:45:22.599 --> 00:45:28.239
in the first instance, this kind
of investments, but in the second instance

518
00:45:29.639 --> 00:45:32.440
also why not delimit, what protection
the general public will have, what protection

519
00:45:32.760 --> 00:45:38.639
the final consumer will have here in
Mexico, at the moment of being exposed

520
00:45:38.679 --> 00:45:43.320
to this kind of technology that today, we already have here in the country.

521
00:45:44.800 --> 00:45:47.880
Thank you so much. With this, I believe that I conclude what

522
00:45:49.079 --> 00:45:54.880
my participation is and that I will
allow you here to have a question-

523
00:45:55.079 --> 00:45:59.559
and- answer session, if you
had, but thank you very much.

524
00:46:00.199 --> 00:46:06.920
It is that we have seen that
internationally you bring a lot of experience and

525
00:46:07.039 --> 00:46:14.039
you know how it is raised this
topic gave also by the logistic part and

526
00:46:14.039 --> 00:46:19.960
here are as commenting. Or we
were asked what I say excellent talk,

527
00:46:20.320 --> 00:46:23.559
but, for example, if you
could give us some examples of artificial intelligence

528
00:46:23.679 --> 00:46:28.360
with Ner Sharing, yes, of
course, yes, for example, what

529
00:46:28.440 --> 00:46:32.519
is in logistics right now with the
Newer shorreng becomes quite effective, for example,

530
00:46:32.679 --> 00:46:36.480
and is not advertising. But in
the company, as they have taken

531
00:46:36.480 --> 00:46:39.159
advantage of it, they have created
platforms. On one of the platforms of

532
00:46:39.239 --> 00:46:43.239
the company called Chell Square, which, thanks to artificial intelligence this platform does,

533
00:46:43.360 --> 00:46:47.480
customers increasingly want to export to the
United States and Canada from Mexico,

534
00:46:47.880 --> 00:46:55.719
both foreign companies and some domestic companies. So what this platform does is use

535
00:46:57.400 --> 00:47:02.280
artificial intelligence media to be able to
analyze more quickly, for example, from

536
00:47:02.360 --> 00:47:07.559
entry to the moment a company registers
if the documents that the company is giving

537
00:47:07.639 --> 00:47:10.840
me are real or not, for
example, if this company is really consistent,

538
00:47:12.199 --> 00:47:16.079
if it exists in the market.
Second, the creditworthiness of the company.

539
00:47:16.599 --> 00:47:22.519
Well if this company is really a
solid company with the ability to pay

540
00:47:22.199 --> 00:47:28.440
for this type of logistics operations,
for example, this interconnectivity with other credit

541
00:47:28.519 --> 00:47:35.519
agencies to validate if the company'
s information not only legal, but also

542
00:47:35.599 --> 00:47:39.599
financial, is consistent with what we
have. Thirdly, the different services that

543
00:47:39.719 --> 00:47:45.559
the company can request and I repeat
in my experience, because it is logistics

544
00:47:45.639 --> 00:47:52.440
mainly to analyze. Well if I' m really going to be able to

545
00:47:52.559 --> 00:47:58.719
be competitive at the time that the
company is asking me for a storage of

546
00:47:58.760 --> 00:48:00.920
five thousand six hundred square meters for
thirty- three days in the city of

547
00:48:01.000 --> 00:48:06.159
the Texas area, well, what
rate can I offer you, how can

548
00:48:06.159 --> 00:48:07.519
I be more competitive the route.
If the land route you' re asking

549
00:48:07.559 --> 00:48:10.360
me for is ideal, how I' m going to quote it, if

550
00:48:10.440 --> 00:48:14.159
it' s going to be in
weight, if it' s going to

551
00:48:14.800 --> 00:48:19.920
be in dollars, according to the
customer' s needs or if it'

552
00:48:20.000 --> 00:48:21.480
s a maritime service, for example, what services I can integrate into the

553
00:48:21.480 --> 00:48:25.039
maritime service. These are topics that, thanks to artificial intelligence, could take

554
00:48:25.119 --> 00:48:30.800
three four days before. Right now, because it' s a matter of

555
00:48:30.920 --> 00:48:36.000
minutes thanks to this data analysis,
which is much more powerful, that requires

556
00:48:36.039 --> 00:48:39.880
a much greater initial investment, but
that the exit is more efficient to give

557
00:48:40.000 --> 00:48:45.400
to your client, in this case
or to your exporting prospect, since a

558
00:48:45.480 --> 00:48:52.159
more effective and more agile solution at
the time of being able to intervene maybe

559
00:48:52.679 --> 00:48:57.559
I told them already at the moment
that I started the talk in my area

560
00:48:57.599 --> 00:48:58.719
is a little more limited in the
legal issue. Maybe we use it more

561
00:48:58.800 --> 00:49:04.599
as a data analysis, more as
a risk analysis topic as well. But

562
00:49:04.679 --> 00:49:07.800
in the end, because it can
also be used a little bit on this

563
00:49:07.920 --> 00:49:13.599
topic, on a more global topic
for companies, because it is more important

564
00:49:13.800 --> 00:49:15.719
because it is carried out in this
way. For companies, for example,

565
00:49:16.079 --> 00:49:20.920
since they are still producing, it
may be the analysis I told them a

566
00:49:20.960 --> 00:49:23.719
few moments ago. Well, I
want these systems to support me. Where

567
00:49:23.800 --> 00:49:29.239
I am going to invest, how
I am going to invest, how much

568
00:49:29.320 --> 00:49:31.599
risk I have in investing in a
certain industry, in electronics, in electricity,

569
00:49:32.079 --> 00:49:36.840
in automotive and, above all,
in behavior for industries that are more

570
00:49:37.000 --> 00:49:40.199
retail, the behaviour of the final
consumer, which is increasingly important, Where

571
00:49:40.719 --> 00:49:46.320
I have to locate myself to be
closer to my final consumer, Amazon ours,

572
00:49:47.000 --> 00:49:51.639
because I cannot tell you competitor,
because I believe that for Amazon we

573
00:49:51.639 --> 00:49:55.159
are neither competitors nor encounter us,
but they are never, for example,

574
00:49:55.320 --> 00:50:04.880
ours. Our logistics ideal uses very
much artificial intelligence to know where I am

575
00:50:04.920 --> 00:50:07.559
going to establish a warehouse, that
is, not even in which city,

576
00:50:08.000 --> 00:50:13.440
but in which block, of which
colony, of which city. I'

577
00:50:13.440 --> 00:50:17.679
m going to establish, how many
square meters, what products I' m

578
00:50:17.679 --> 00:50:23.400
going to handle in that warehouse,
what routes, what kind of vehicles I

579
00:50:24.280 --> 00:50:28.519
have to use in that warehouse,
what schedule I' m going to use

580
00:50:28.519 --> 00:50:30.360
to move my product in that warehouse. What does Amazon use that for,

581
00:50:30.639 --> 00:50:36.519
then, obviously, to efficientize its
supply chain, both its own product and

582
00:50:36.679 --> 00:50:40.880
third- party products that are handling
it in its market. It is a

583
00:50:42.000 --> 00:50:46.119
very large investment that Amazon has made. I daresay, it' s a

584
00:50:46.199 --> 00:50:52.119
lot bigger than ours. I have
no doubt, precisely to improve its logistical

585
00:50:52.239 --> 00:50:57.280
capacity, something that Amazon, in
the pandemic, exploited in terms of its

586
00:50:57.320 --> 00:51:01.079
investment and that it has not stopped
growing right now to support such mechanisms.

587
00:51:05.679 --> 00:51:10.800
Here they are also telling us that, obviously excellent talk will be put on,

588
00:51:12.039 --> 00:51:14.280
of which, from inventory control,
it is time that stocks were checked

589
00:51:14.519 --> 00:51:19.280
to see if it is possible to
issue an invoice already used artificial intelligence.

590
00:51:21.840 --> 00:51:25.119
Yeah, that' s right,
Mira. I do not know if the

591
00:51:25.559 --> 00:51:30.880
integral process of an inventory control can
be carried out including the invoice, through

592
00:51:30.960 --> 00:51:36.400
artificial intelligence, but definitely, at
least the order so that already the final

593
00:51:36.480 --> 00:51:39.519
moment can be issued the invoice,
yes, it can be made through artificial

594
00:51:39.599 --> 00:51:46.639
intelligence. This system definitely supports more
efficient inventory control. First of all,

595
00:51:47.000 --> 00:51:51.880
because it obviously saves you a lot
of days of analysis of what traditional inventory

596
00:51:51.920 --> 00:51:57.360
control is. Second, because it
helps you bias or segment information about what

597
00:51:57.440 --> 00:52:01.480
product you have. And thirdly,
because of that product, because obviously already

598
00:52:01.960 --> 00:52:06.639
the fact of that analysis, of
condensing all that analysis, because it is

599
00:52:07.159 --> 00:52:13.440
already the system that can automatically,
because knowing what type of invoice is going

600
00:52:13.519 --> 00:52:17.079
to be talked about. Obviously,
it is important that there be a human

601
00:52:17.199 --> 00:52:22.760
being validating the information, because I
repeat to you the quality of the input

602
00:52:22.760 --> 00:52:28.239
information will depend on the quality of
the output. It would be very incongruous,

603
00:52:28.480 --> 00:52:31.719
but it would be very risky for
you to leave an artificial intelligence system.

604
00:52:31.880 --> 00:52:36.880
To manage 100% of the information
always has to be a human behind

605
00:52:36.960 --> 00:52:40.280
and in the end, that is
why I tell you not artificial intelligence,

606
00:52:40.599 --> 00:52:43.480
at least to this day, at
least in my company, of each one

607
00:52:43.559 --> 00:52:47.800
of you can have a different opinion
or a different perception, but at least

608
00:52:47.880 --> 00:52:52.880
to this day. In my case, it has not generated any personnel losses,

609
00:52:52.480 --> 00:52:59.039
but it has generated a process efficiency. As far as all stages are

610
00:52:59.079 --> 00:53:02.400
concerned, i e billing, it
continues to be handled by people. But

611
00:53:02.480 --> 00:53:07.599
in the case of the system issue
that we carried out, if the billing

612
00:53:07.679 --> 00:53:12.760
took seven days before you had the
end of the service for analysis, because

613
00:53:13.239 --> 00:53:19.480
now, when it is through this
platform, it can last hours. And

614
00:53:19.559 --> 00:53:23.920
well, here too in the piece
of legislation, here I mentioned that currently

615
00:53:23.960 --> 00:53:30.039
what is sought to regulate is not
that it is primarily the algorithm, or

616
00:53:30.639 --> 00:53:37.079
it is more focused on data protection
that feed artificial intelligence models, depending on

617
00:53:37.159 --> 00:53:40.599
the country. I honestly dare and
here I do have to recognize China very

618
00:53:40.599 --> 00:53:45.800
much. In other words, China' s legislation is very comprehensive and covers

619
00:53:46.440 --> 00:53:51.559
the algorithm, the system, the
protection of personal data, the protection of

620
00:53:51.599 --> 00:53:57.840
sensitive data, the protection of copyright, the labelling of systems that from abstractions

621
00:53:58.559 --> 00:54:04.639
performed by artificial intelligence, special care
with the use of deep fakes, special

622
00:54:04.719 --> 00:54:09.960
care with sensitive data, the use
of ethics, which for them are the

623
00:54:10.079 --> 00:54:15.880
guidelines of the Communist Party. For
us, then, obviously, it has

624
00:54:15.960 --> 00:54:20.320
another meaning or another meaning, but
in the end it is something that they

625
00:54:20.320 --> 00:54:23.480
already have regulated us and we are
not close yet. On the other hand,

626
00:54:24.079 --> 00:54:27.519
for example, this country, which
is one of the most advanced,

627
00:54:28.079 --> 00:54:32.000
also has several laws in this regard. With regard to the promotion, at

628
00:54:32.119 --> 00:54:37.079
the same time as developments in artificial
intelligence, these mechanisms for encouraging enterprises and

629
00:54:37.159 --> 00:54:43.079
encouraging research institutes to interact with companies
and share openly data that they can promote.

630
00:54:46.559 --> 00:54:51.239
The United States also has that part, only it barely has it at

631
00:54:51.280 --> 00:54:57.440
the initiative level. There is not
yet a legislative effort that has seen let

632
00:54:57.559 --> 00:55:00.400
' s say reality or light already
in form per se, that is,

633
00:55:00.639 --> 00:55:09.880
a law in the United States forgiveness
and here it is also telling us good

634
00:55:10.280 --> 00:55:15.400
that it also includes, for example, one of the risks that they are

635
00:55:15.519 --> 00:55:19.599
mentioning is generative language, like what
chat Jipiti, which also involves sharing private

636
00:55:19.639 --> 00:55:22.800
data on open servers not that is
the part of artificial intelligence to be able

637
00:55:22.840 --> 00:55:28.760
to use the model. I was
looking at some legislation on this in the

638
00:55:28.800 --> 00:55:32.039
United States or Mexico. In the
United States, if there are initiatives,

639
00:55:34.000 --> 00:55:36.679
I repeat they have not seen the
light, but at least it is already

640
00:55:36.760 --> 00:55:40.079
under consideration in Congress. Sadly in
Mexico. Not sadly in Mexico we don

641
00:55:40.199 --> 00:55:45.199
' t have any serious information about
it. So, for the time being

642
00:55:45.320 --> 00:55:50.280
and already in a talk with specialists, it was very interesting, because it

643
00:55:50.599 --> 00:55:53.679
is that part of an engineer who
was Mit' s and who has a

644
00:55:54.599 --> 00:55:59.360
lot of experience and gave us sonle
great his story. Or tell us I

645
00:55:59.360 --> 00:56:02.840
was coming from Oaxa. But like
something saw me and pulled me almat says

646
00:56:04.000 --> 00:56:07.480
and there semi specialist in engineering,
in blah blah blah, I missed apology,

647
00:56:07.880 --> 00:56:12.119
but I am a lawyer. But
it was no longer explained why.

648
00:56:13.199 --> 00:56:15.760
And it' s very logical,
the chat gpit and I explained it with

649
00:56:15.760 --> 00:56:20.320
very simple words, because sometimes I
could generate you trash, because many times

650
00:56:20.360 --> 00:56:22.199
the input information of chatchipit is trash, then it tells us. If you

651
00:56:22.320 --> 00:56:27.079
throw garbage into an information entry,
anything' s going to get away,

652
00:56:27.199 --> 00:56:29.320
it' s going to be garbage, it' s gone, then it

653
00:56:29.320 --> 00:56:31.280
' s gone. It doesn'
t have enough quality, I say at

654
00:56:31.360 --> 00:56:36.159
least the trial version. But what
is the risk, the fact of sharing

655
00:56:36.280 --> 00:56:40.480
sensitive data to these types of platforms. Well, if there is no legislation

656
00:56:40.639 --> 00:56:45.960
in this respect that is robust enough
at national level. Yes, indeed,

657
00:56:46.039 --> 00:56:50.480
there is a great risk of breaching
the data. There must always be that

658
00:56:50.599 --> 00:56:53.679
legislation. Considering, therefore, the
protection of the individual, the human rights

659
00:56:54.320 --> 00:57:00.679
of how my personal data will be
used, in part my sensitive data.

660
00:57:02.400 --> 00:57:07.119
Europe, I say, is very
applauded in this regard to make a lot

661
00:57:07.119 --> 00:57:08.880
of legislation on protection. I don' t know how they' re doing

662
00:57:08.880 --> 00:57:13.880
promotion. The truth now Europe,
again this is already a personal opinion.

663
00:57:14.280 --> 00:57:19.280
It has fallen a little behind in
new technology subjects. The pointers right now

664
00:57:19.400 --> 00:57:22.760
are the United States, China,
enormous from other countries such as Korea,

665
00:57:23.760 --> 00:57:27.199
Japan, etc, which have given
a lot of impetus to these systems.

666
00:57:29.719 --> 00:57:32.280
And, well, here too Francis
tells us it is undeniable that, given

667
00:57:32.360 --> 00:57:37.320
the infinity of variables that artificial intelligence
has, the human criterion will always be

668
00:57:37.320 --> 00:57:40.000
present. And obviously, this is
vital. I believe that for the part

669
00:57:40.039 --> 00:57:44.599
of legislation they will have to put
in place that is when the human criterion

670
00:57:45.079 --> 00:57:51.000
has to intervene. Indeed, and
above all, why the guideline has to

671
00:57:51.119 --> 00:57:54.159
regulate the human criterion so much at
the time of generating the information that is,

672
00:57:54.840 --> 00:57:59.119
the group of people. I don' t want to tell you a

673
00:57:59.239 --> 00:58:01.599
person, because it' s usually
going to be a group of people who

674
00:58:02.280 --> 00:58:07.719
generate these systems, the group of
people who do the final validation of this

675
00:58:07.800 --> 00:58:13.239
system, the people who are going
to be doing the internal audit within a

676
00:58:13.239 --> 00:58:16.639
platform, that is, that generates
this type of systems and, above all,

677
00:58:17.559 --> 00:58:22.519
because the external people or the government
that takes charge as a third party

678
00:58:22.599 --> 00:58:25.159
to perform this audit, no longer
within the company that is generating this system,

679
00:58:25.159 --> 00:58:30.079
but the third, that is,
what guidelines will consider to say well,

680
00:58:30.360 --> 00:58:36.320
this system is working properly or has
these vulnerabilities. I say undoubtedly,

681
00:58:37.039 --> 00:58:42.559
all technology is going to have its
vulnerabilities, but the fact will be how

682
00:58:42.679 --> 00:58:46.719
quickly they are effective, because a
country, we adapt to it and we

683
00:58:46.719 --> 00:58:50.440
can improve it. I think that
having legislation is already a very important step

684
00:58:50.559 --> 00:58:54.119
forward in not having it, because
in the end, we have nothing on

685
00:58:54.239 --> 00:59:00.440
how to define the people' s
rules. And, here, lastly,

686
00:59:00.840 --> 00:59:05.800
here I was commented this Juanito sat, which is his opinion if he will

687
00:59:05.880 --> 00:59:08.920
have the increase of that employment,
all that is artificial intelligence. Or to

688
00:59:09.000 --> 00:59:13.320
keep in mind that if machines are
able to perform the same tasks as humans,

689
00:59:13.599 --> 00:59:19.440
and therefore, this would increase the
deaclerating. I believe that historically there

690
00:59:19.480 --> 00:59:25.000
has always been that concern when we
see the implementation of a new technology that

691
00:59:25.039 --> 00:59:29.599
is going to increase unemployment, etc. At least today it hasn' t

692
00:59:29.679 --> 00:59:31.920
been seen. Yeah, I think
there are areas obviously, we' d

693
00:59:31.960 --> 00:59:34.639
have to do an analysis. Yes, there are going to be areas that

694
00:59:34.719 --> 00:59:39.440
are going to be more vulnerable than
others to the issue of lower job availability.

695
00:59:40.079 --> 00:59:44.239
However, there will also be areas, especially in the development of technologies,

696
00:59:44.440 --> 00:59:47.840
that will also increase this type of
jobs, where there will be more

697
00:59:47.840 --> 00:59:52.199
jobs available, because, definitely,
the fact of artificial intelligence developers, as

698
00:59:52.239 --> 00:59:59.079
evaluators of this type of mechanism are
not subjects that we currently have, at

699
00:59:59.159 --> 01:00:02.679
least in Mexico, that we are
so expert in the matter and that in

700
01:00:04.199 --> 01:00:10.760
the immediate future could be opened up
as such jobs. And, well,

701
01:00:12.119 --> 01:00:14.079
I' d like to open it. I don' t know if you

702
01:00:14.199 --> 01:00:22.519
' d like to be a comment. Thank you, Dani, Thank you,

703
01:00:22.840 --> 01:00:29.960
there are many congratulations, It is
Doctor Juan Ilish, many congratulations,

704
01:00:30.800 --> 01:00:36.039
because it is very shocking all this
artificial intelligence. I' ll take the

705
01:00:36.119 --> 01:00:40.519
first picture you put is predicting.
Yeah, I' d like to ask

706
01:00:40.519 --> 01:00:49.599
you a question. Israel' s
way of doing artificial intelligence. Look at

707
01:00:49.679 --> 01:00:53.360
curious case, but very good comment, very wise. Israel is one of

708
01:00:53.440 --> 01:00:58.800
the leaders in technology investment, one
of the leaders in investment, in security,

709
01:00:58.920 --> 01:01:06.199
in artificial intelligence. Also, that
is, obviously, compared to the

710
01:01:06.280 --> 01:01:08.320
size of the country, that is, we cannot compare it to the United

711
01:01:08.440 --> 01:01:13.079
States, which is a country of
three hundred and thirty million inhabitants, to

712
01:01:13.320 --> 01:01:20.000
Israel, which is a small part
of this size, but it is incredible

713
01:01:20.000 --> 01:01:22.800
immediately after the invasion, I say
obviously, after condemning the violence that has

714
01:01:22.800 --> 01:01:24.599
taken place on both sides. But
first of all to Israel, Etcé.

715
01:01:25.159 --> 01:01:31.079
The first thing all international analysts have
asked themselves is what happened to Israel,

716
01:01:31.559 --> 01:01:38.599
that is, this whole system of
predictions have advanced research espionage that has these

717
01:01:38.840 --> 01:01:43.639
investments, what happened, that is, why it took them from how it

718
01:01:43.719 --> 01:01:49.280
could have taken them. Surprisingly this
attack. I say that is something or

719
01:01:49.320 --> 01:01:55.599
could do, something that could be
a flaw, a vulnerability in these predictions.

720
01:01:55.719 --> 01:02:00.360
In the end, what we'
re saying is a prediction of the

721
01:02:00.480 --> 01:02:07.440
available data, i e, I
don' t know that information input has

722
01:02:07.559 --> 01:02:12.039
had so that its output has been
not going to have an attack or yesterday

723
01:02:12.079 --> 01:02:15.000
day, for example, that was
Sunday eight. Sunday eight is going to

724
01:02:15.039 --> 01:02:19.440
behave like any other Sunday. I
have not based my best on the prediction

725
01:02:19.559 --> 01:02:23.519
that the last ten zero Sundays of
the last few years, since one thousand

726
01:02:23.559 --> 01:02:27.880
nine hundred and fifty- one to
date, there has never been any attack.

727
01:02:28.360 --> 01:02:30.440
So if the data entry was that
if the last ten zero Sundays there

728
01:02:30.559 --> 01:02:34.519
' s never been an attack,
then, then, then now there'

729
01:02:34.519 --> 01:02:37.559
s not going to be any attack. It' s the conclusion. When

730
01:02:37.679 --> 01:02:45.280
I have my hypothesis and let me
share it. The Mosak is one of

731
01:02:45.360 --> 01:02:54.559
the most effective intelligences in the world. I' m going to take as

732
01:02:54.599 --> 01:02:58.920
an example the downing of the Twin
Towers. It was so that, if

733
01:02:59.199 --> 01:03:07.519
I had international sympathy for the invasion
of Afghanistan, I believe in my hypothesis,

734
01:03:07.840 --> 01:03:12.440
that this was already pre- established
and even induced. It costs lives?

735
01:03:12.599 --> 01:03:19.079
It costs lives, but how to
remove the dome of the Rock in

736
01:03:20.480 --> 01:03:24.679
the temple of Jerusalem only with a
war issue. There' s the justification.

737
01:03:25.719 --> 01:03:30.079
There will be the downing and it
will be the construction of the third

738
01:03:30.239 --> 01:03:37.679
temple in Jerusalem, so eager that
they have this historical aspect with a faith

739
01:03:37.719 --> 01:03:40.960
of the Israelites who are looking forward
to it. So, yes, if

740
01:03:42.079 --> 01:03:49.440
you saw artificial intelligence in order to
create a conflict and bring justification, it

741
01:03:49.920 --> 01:03:52.199
would be hypothesis. After all,
hypothesis, yes, my, thank you

742
01:03:52.199 --> 01:03:58.760
very much for Nadal. It'
s interesting to know or understand that artificial

743
01:03:58.840 --> 01:04:02.840
intelligence we want at first is that
generated by people and by people who may

744
01:04:03.000 --> 01:04:10.960
have their prejudices or their ideas pre- established and definitely and if you'

745
01:04:11.039 --> 01:04:15.840
ve spoken I say to myself I
don' t like to use the adjective

746
01:04:15.920 --> 01:04:18.320
often better worse if you' ve
talked to people from other countries, maybe

747
01:04:19.199 --> 01:04:23.239
an American, a Brazilian, a
Russian, a Korean my company. When

748
01:04:23.280 --> 01:04:27.559
we make these meetings on a global
level, which are very beneficial that we

749
01:04:27.679 --> 01:04:31.360
meet in this way several countries,
there are so many that you stay,

750
01:04:31.559 --> 01:04:33.960
that is, every one that touches
on a topic and legal issues, not

751
01:04:33.960 --> 01:04:38.440
even technological issues. You realize that
there is a diversity of very large opinions

752
01:04:38.639 --> 01:04:42.440
and that often look, that diversity
of opinions not only reflect that person,

753
01:04:42.719 --> 01:04:47.519
but reflect the generality of the country
from which that person comes. So,

754
01:04:47.639 --> 01:04:53.360
in the end, we each have
very different beliefs. So the fact that

755
01:04:54.320 --> 01:05:00.719
these kinds of international conflicts are children
shows once again how these different beliefs already

756
01:05:00.760 --> 01:05:06.559
impact reality and sadly, sometimes with
violence. Sadly. Thank you very much,

757
01:05:06.920 --> 01:05:11.880
Happy Doctor. Thank you Dani,
thank you the Doctor. The truth

758
01:05:11.880 --> 01:05:15.159
is, it' s been an
extraordinary conversation. Have lots of requests around

759
01:05:15.159 --> 01:05:20.239
here, because many issues leave us
thinking and, above all, also push,

760
01:05:20.440 --> 01:05:26.880
on the part of private initiative,
also the government to have initiatives to

761
01:05:27.079 --> 01:05:30.840
start legislating this issue that, as
they say, we are lagging behind and

762
01:05:30.880 --> 01:05:36.360
tomorrow we can have a major impact
on business, investment, etc. Not

763
01:05:36.559 --> 01:05:43.559
then, I think it is up
to us now to push the government to

764
01:05:43.639 --> 01:05:47.800
start legislating. Thank you very much, very interesting talks. Thank you for

765
01:05:47.800 --> 01:05:53.719
sharing, because we know that it
has been to courses internationally and that that

766
01:05:53.840 --> 01:06:00.519
you are absorbing that you can transmit
us and make this barter wonderful and good.

767
01:06:00.639 --> 01:06:05.000
On the contrary, as always the
invitation Daniela Octavio, Dr Guadalupe,

768
01:06:05.639 --> 01:06:12.599
this marda, I thank you very
much the organization for the information, because

769
01:06:12.599 --> 01:06:15.880
we hope to see us soon there, here forgiveness. Thank you very much,

770
01:06:15.320 --> 01:06:17.880
because from the entire team of TVs
magas in Mexico we come to a

771
01:06:18.000 --> 01:06:23.719
barter we want to give this virtual
recognition to Dr Juan Illiche Pérez García for

772
01:06:23.719 --> 01:06:28.000
doing. I think in the vital
conversation with the subject of legislation and artificial

773
01:06:28.000 --> 01:06:30.639
intelligence. Where we are going on
the 9th of October, two thousand twenty

774
01:06:30.000 --> 01:06:33.880
- three, filmed by the other
one of the tower and your servant,

775
01:06:34.599 --> 01:06:36.199
thank you so much and it was
truly an honor to have you here again.

776
01:06:36.840 --> 01:06:41.000
On the contrary, thank you very
much and have an excellent afternoon.

777
01:06:41.079 --> 01:06:46.440
Thank you very much for the invitation. We' ve reached the end of

778
01:06:46.480 --> 01:06:49.000
today' s boat. Thank you
so much for joining us. This was

779
01:06:49.320 --> 01:06:54.079
let' s make a barter viazon
a te Tels Magas event in Mexico.

780
01:06:54.639 --> 01:06:58.719
If you like this talk, don' t forget to share each event with

781
01:06:58.800 --> 01:07:01.880
your contacts so that we continue to
spread knowledge and stay up to date.

782
01:07:02.920 --> 01:07:10.920
They find all our talks through our
online education platform, entering www. Tls

783
01:07:11.039 --> 01:07:15.039
Magas in Mexico com Mx in the
course section, where you can see them

784
01:07:15.159 --> 01:07:19.639
again without cos If you are interested
in any specific topic. Send us a

785
01:07:19.679 --> 01:07:24.559
message through the social networks of teles
magas in Mexico and we will look for

786
01:07:24.599 --> 01:07:27.599
an expert who can clarify your doubts. This was let' s do a creek.