For your seven trillion dollars in the Villamos legus two see that there is risk
is ninety percent of SMEs that generate eighty percent. Give me twenty minutes of
your time and I, in return, give you information on the most relevant
issues in foreign trade, tax and customs with a human touch and let'
s do a trak, a podcast of maga TVs and Mexica chi Hello.
How about good afternoon welcome, let' s barter, as you know,
a telc magas event in Mexico today. I' m so glad you'
re with us. We have a very interesting subject that Dr Juan Irich Pérez
García is going to accompany us, which is legislation in artificial intelligence where we
are going the truth. It' s a very interesting subject. Here you
accompany us dotor Lich, how are you good afternoon? Welcome to bartering hello
very good afternoon. Thank you very much, Daniela. Thank you very much
Octavio Marda the organizer. I thank you for a pontal end to FTA again
for extending the invitation to me for participating in these capsules that began since the
pandemic. It' s got to go for four years now. I didn
' t give up if I did, I don' t remember more than
three years. The truth is, they' re already here. No,
I don' t, really. They seem very interesting to me because at
the end of the day, they give us all these little pyloras of knowledge,
on which, then, we can be learning. Obviously, not on
some new subjects, because thank you very much, for being here. We
already missed you because I had time that you hadn' t connected and usually
you really accompanied us to make these truequets. But I have some news for
you, and I want to invite you now. This Thursday 12th of October
telec and with Kanako and work collaboration Asciation is organizing the second International Summit of
Foreign Trade and Customs Theories, where if you have it out there and you
know more or less, you can show us this already because we made the
video and now we will put it to you. But where we will have
renowned experts at national and international level, such as Octavio de la Torre,
Dr Ricardo Méndez, the Assistant Secretary General of the Homa, Ricardo Treviño,
the graduate César Cano Cuevas, who is in charge of prodewith the teacher Fernando
Silliceo, who is General Director of Inspection of the Secretariat of Labor and Protection.
So it' s really going to be an all- day event,
well, almost all morning, that we' re going to be connected,
but above all with the intention of being fulfilling, that is, rather looking
for the compliance of companies in foreign trade and customs. And all these related
issues, as is the part of the work that is now being demanded of
us companies, as obviously the customs part. And well, in case you
have a home hearing with prodecon, so we invite you to register. Please
help us register first, because then the truth is saturated. The League Ahorita
is going to put the team in the comments that help us to have what
is the league record. And well, you will be glad to know that
these free events, these events, are free for the whole Community. He
does it with great affection, wanting to share knowledge and, well, obviously,
also with organisms that help us to do this type of event, such
as the Work Companies Association and with Carnacoserdito Octavio. I do not know if
you want to make any comments, because greeting my friend Juan and Litchi,
also on the Toño Carballido list, and all those who are joining these barterings
that are already a tradition in Mexican foreign trade, and therefore, inviting them
to participate in this second International Summit of Audities in eating out. Customs really
seems to me that the effort that is being made is important. The monitoring
aspect is fundamental. Let' s just look at the income and income law
that is being proposed in Congress, which is in the process of discussion and
approval, that is, if you clearly identify, since there is no crime,
there is no general amendment increase in tax matters, but if there is
an increase in what the Government is committed to generating in terms of revenue in
order to be able to comply with that budget that we intend to exercise next
year, then it is essential that we be vigilant, that we participate in
these kinds of activities that we try to pull out and our notes carry out
those best practices that are always driving, especially from the perspective, nothing else
that is going to be touched, that is customs. If they don'
t notice. They will also see social security issues that are to be foreseen
within this second summit. Then invite them to participate, to join, to
share, to send the neighbor, the friend, the supplier, the client,
the boss, the owner of information so that they can be participating and
return the controls to you. Daniela, thank you very much. Well,
it' s telling you that on October 12th, this Thursday, at eight
o' clock in the morning or center time, we' re going to
start this event. So everyone' s invited. We already put in the
chat the league for whoever wants to register and now yes, Ilich, forgive
me for giving you this time, but nothing more. We wanted to invite
the whole Community that, as you say, we started by making these croques,
but also part of making this exchange and continuing to provide knowledge is also
this kind of eating Yes, of course. Thank you, Daniela, a
thousand thanks, Octavio and well, ay maestro Dr Lupita. I almost forgot
to say hello too. Thank you very much for the invitation. Well,
no further preamble. I don' t know if they' re already watching
my screen here. The topic of hearing is to talk a little bit about
legislation in what is artificial intelligence matter, that is, everything we know as
a day, shortened there by its name in English, Where we are going
and what expectations we expect. It is very interesting, because Ahorita is a
very fashionable topic, not only in Mexico on issues in international law forums,
but also in the congresses of several countries that have been legislating. France,
although I am going, although I am not going to get into the European
Union right now, because it brings, there are some very interesting issues.
It brings this conflict there with chat GPT, but well, it is a
very much so topic in several countries that have been legislating a little bit about
the matter, even companies like I represent, because they have also been asking
us several questions about hearing these months. You know what legislation is in your
country, what the guidelines are, and how I explain it to you.
Well, let' s do a little bit of what we' re going
to be driving next. First of all, I would like to give you
as a reference that, because of the novelty of this topic, we are
going to examine how some countries are going and how it is going or not
going to Mexico. And above all, it must be emphasized that there is
no global, defined and agreed definition for artificial intelligence. However, there are
some authorities who, as they have been talking more or less about it,
have been doing so. I mean, you know that. What the legislator
does is not always be so brilliant per se, but realizes. He invites
specialists, he invites experts. In this case we are mainly talking about engineers,
obviously, to be able to understand a little bit more about the subject
and at the end of the day, thanks to these developers, because being
able to legally land the topic and provide a little more of this knowledge to
himself and society. Okay. In this vein, the Congress of the United
States, in the last initiatives it has issued in two thousand twenty- three,
does not have much time to issue them. In the two thousand twenty
- three, you' re teaching, you' re converting. Pants,
yes, you don' t see no to see or and taking advantage of
the victory and I feel very sorry for it. I left super fast.
But while you share, good screen, already perfect. There you are,
you see me, okay, I think you' re already seeing it.
Okay. He told them that the Congress of the United States, in this
case, defines artificial intelligence as a system, a machine- based system,
which can make, through defined objectives or through a human configuration, make predictions,
recommendations or decisions that influence virtual or real means. Congress itself adds that
all artificial intelligence systems use inputs of data, human beings and machines and from
there, they can perceive these virtual environments and real environments, abstract those perceptions
that they perform in automated analysis models, and also use such models to generate
information or action options. In the case of information, we have a little
bit of the not- so- used GPT chat theme these days. What
are the elements in this case? First of all. We have to be
a system and by system we mean a computer programming or software, that is
to say, to shred a little bit. Artificial intelligence is something relatively new,
but it is something new based on pre- existing developments that we already
had only that to a certain more archaic point of view, that is,
it is a system much more specialized than and that p ons and already in
a talk just less than a month ago to which I was invited at the
National Polytechnic Institute that we were talking about that, specialists of the POLI,
specialists of the MIT. I was half lost because I was one of the
little lawyers, but there were a lot of engineers, very specialized. And
engineers, for example, give us the Inside, which you know what,
by its nature, that is, by the complexity of the system and the
economic investment it needs. It is not governments, but it is neither the
academy that develops itself nor the one that is developing mainly artificial intelligence is based
on its development, but in general it has been the companies that have been
the leaders in this matter. We' re talking about a system like this,
but very specialized. This is one of the elements. However, it
is a software that is based on machines and again we go to the issue
of investment, by specialization or by nature, by the specific needs of these
machines, of the capacity of these data centers. Of course, only certain
companies have made the necessary investments in order to develop them. I mean,
it' s a system. We have the combination of what software is with
what hardware is, which are machines, through which these artificial intelligence tools can
be enhanced. We are speaking in turn that artificial intelligence has to do with
a configuration or programming, that is, it is not born by itself.
There' s someone behind us and we' re going to the fourth element,
which is the human element, that is, people are involved. Of
course, once people intervene, artificial intelligence can learn by itself, being in
this ecosystem, in the environment, mainly on the Internet, now that it
is interconnected in error and testing, but in the end, at the beginning
of the day, because it is the humans or it is this intervention of
people that generates this system or this algorithm, if they want to tell you
that it is the next element, this defined objective, that has to be
programmed, that it has to be systematized, for what good, so that
in the end the result that this artificial intelligence is going to have and there
are three other elements for this result can come based on a prediction, for
example, if we are talking about information, a recommendation or a decision,
what this means, well, will depend on the nature for which we use
this system, the result that it is giving us. If we' re
talking about a prediction, because obviously the result or the available universe of information
that this artificial intelligence system has, it' s going to calculate what probability
exists that the following happens or doesn' t happen and through there it makes
that prediction, like the so- called essays, for example, writings that
are made of artificial intelligence. Well, it' s going to be a
prediction of what the next word is, what' s the next statement that
corresponds to the previous input, that is, based on the previously available idea,
without it necessarily being such a logical thing or without it necessarily being such
a congruent thing. At the end of the day we are talking about a
prediction that, with the information available is making this tool, can itself and
through this analyzed information, make a recommendation, that is, with us lawyers,
for example, what we see a lot in artificial intelligence analysis. When
they ask us is wonderful, the truth is, because it is super easy,
and when they ask us to contrast documents that are very long, well
you know what if you are going to compare two documents, if you can
do it in the typical program, for example, World, but what happens
when one document is in word format, another is in pdf, another is
in another format? If you have an artificial intelligence system capable of comparing two
documents in different format, it is fantastic, because there the result is that
it gives you a recommendation. Listen I recommend you double check, for example,
the first of the two compared documents or the three or the five,
because there are three elements of discrepancy with the others. Then it can generate
a recommendation regarding the information you provide to this artificial intelligence system, depending,
obviously, on how this mechanism is used. You can also say and right
now let' s go a little bit to uses if you' re using
it for marketing or market purposes. Tecnia can analyze the trend of purchases,
the trend of opinion, the tendency of age groups, of groups of a
certain social stratum of a certain city, about what they buy, about what
they think, about how they behave and about that to give a recommendation also
clear, we talk again about the universe that has available data analysis. Or
finally, and it would be a little more controversial here, but it does
eventually or it can at least, it can make this system a decision,
that is, it can make an automated decision as to what you tell it.
I don' t know, going to a bank credit approval, well,
there can be a cino automated system where, by analyzing the data,
the artificial intelligence system could decide whether or not to grant you a credit.
That will also be done on the basis of information mechanisms that analyze based on
obviously, the type of qualifier that has available the complexity of the algorithm that
we talked about. Of course, this algorithm at the beginning of the day,
because it is realized by people, by human beings that feed this system,
not only at the time of generating it, but also at the moment,
because being evaluating it and right now. Let' s talk a little
bit about this evaluation or this input into the mechanism, already permeating the functioning
of artificial intelligence. Well, what the results are going to be and you
have to be very careful about this. The information output, or we were
already talking about the three elements. These predictions, these recommendations or these decisions
you can make will depend on the input of the information of how much information
is available, that is, how powerful this system is to absorb information,
but also of quality, that is, how sophisticated the algorithm is going to
be with which we generate an artificial intelligence system so that, by itself or
through the best of a twenty- four or seven evaluation of a group of
experts who are behind, you can identify how good or bad the quality of
information you are analyzing is, that is, what parameters the system can use
to discriminate information that is not of such quality and give primacy or give a
different value, that is, a higher value or even a zero value to
information that is garbage and a hundred value information that can be considered, one
hundred percent verifiable hundred percent truer for based on that input of information give a
way out, that is to give a more real, more consistent response.
What' s the other result? Well, we' re talking about the
fact that, as we said, they actually intervene in machines, or they
intervene in hardware and it' s very sophisticated, but human beings and right
now are also involved. That is why we are going to the section of
the legislation, that is, people are involved. People intervene who consciously or
unconsciously, at the time of generating this algorithm, at the time of generating
this system, at the time of monitoring this system, because they may have
certain tastes, certain prejudices, certain pres acquired, a certain perception of reality
that may or may not be objective and that may or may not have parameters
of objectivity at the end of the day. It' s something that happens
in reality. Google has already had an incident, in fact, a couple
of months ago with this system where certain people I mean you already know that
today the race does not even exist, but considered a particular race by skin
color, I identified them not as people, not as human beings, but
as certain species of animals. When they come in to analyze hear, for
what is the error of this system that we are using artificial intelligence. They
realized that the error was not of the system itself, that is, the
system did have a mistake, but it was not that it was learning bad,
that it was developing badly. It' s just that from the source
he had that damage in algorithm and that algorithm had been generated, because by
a person, obviously by a human being. That is where this result also
comes in, which will depend on the quality of the information to enter.
We talked that, as a result we already said in the definition, it
will perceive a virtual or real environment, that is, it will realize a
recognition of the reality, it will realize even a mimetization of the system.
I imagine that some of you have already seen I say even for fun maybe,
this recreation of images, this recreation of videos, this recreation of sound,
that is, of voices or external sounds, of environments of reality that
are really not directly recorded from a real environment, but generated by artificial intelligence,
for example. And that' s the perception that can mimic this kind
of odes systems, this kind of mechanisms, both virtual and real, abstract
them, analyze them and many times, obviously I say what a wonder it
' s not that it might be analysis that would take days, weeks,
months for human beings, because this whole world of information, generate information options,
generate action options, generate automated analysis models. We, the lawyers,
for example, when we read thesis, jurisprudence, when we are, for
example, in other countries that we might take longer, because in Mexico we
already know where to look is a little clearer where to look for doctrine in
another country. Not so much, the advantage with artificial intelligence, which can
be, then, that a well- developed mechanism can analyze that in less
than an hour, what it would take you days or weeks to look for,
for example, and is an automated analysis, that is, maybe it
is not giving you a result. But if he' s analyzing you,
listen to the topic you want to look for, which might be very specific.
Maybe it' s the result of a judgment on mergers of energy companies
from two thousand ten to two thousand fourteen in the northeast of the United States
and maybe it automatically gives you the results and can give you a brief summary
of each result. So what would take us days or weeks, because an
artificial intelligence system can find it rather agile, because it does it in a
fairly automatic way. Now what are the legal considerations, which is, after
a little bit understanding the subject of what artificial intelligence is, of what the
system is, let' s go to the legal consideration and tell them something
a little funny. I don' t know about Congress, and other Congresses
have. But the U S Congress when, when a couple of months ago
it joined the specialists told them to hear you know what. To companies,
the truth is that you have time to carry out these developments. It'
s not something new. We know. However, we have never been serious
about legislating on and studying, especially because legislation cannot be steamed. To study
what we are going to legislate, then why don' t you stop and
launch an open letter by several experts. Why don' t you stop about
six months or not less like a better year your developments, so that we
have time to analyze it, think about it at best, talk about it
with the pillow for a couple of nights. The reality is that that usually
happens to us. That is to say, companies are developing, and not
only on this subject, but on all the topics that you can see in
technology matters. Historically, then we go back, running them, trying to
legislate, trying to generate legal guidelines, even constitutionally modifying them if necessary.
Why I' m talking about legal considerations, Well, above all, I
was talking about the human element involved in the generation of these artificial intelligence systems.
At present, there is no legislation in Mexico in this regard. As
in many countries. Nor do I want, as certain people who try to
make jarakiri is that Mexico is always in line, when all the other countries
already have a whole baggage. No yes, there have been a couple of
initiatives, but no series, none in analysis. In fact, we had
one of the specialists in the Congress here, from the Union of Mexico,
exhibiting a couple of weeks ago in another forum and he, frankly, told
us. You know what. Honestly, we have no initiative being discussed here
in plenary, let alone that we know that, from here, two thousand
twenty- four before the end of this six- year term is going to
be a law neither of the opposition nor of the ruling party. So there
really is no legislation on this, there is no serious initiative. That is
how we are today here in our country, something that is a little late.
Let' s say with reality, because we see that with the Near
Shorring, that is, before the Near Shorren, I don' t want
them to see this either as something novel. Investment, foreign direct investment,
we already had it, was already considerable at the national level, we were
already an exporting country. But now, with the neur Shoreig, it has
only exploded, growing, especially in certain places that we already had an export
element in the Mexican Republic, which has happened with the Neer Shorring. Well,
the interaction with new technologies, in particular with artificial intelligence in industry and
commerce, is going to be even greater. That is, we are seeing
that there are countries, Ahorita, we will mention that they already have a
predominant role, not so much as government, but their companies, within the
development of artificial intelligence. What' s going on with Mexico? Well,
he' s still kind of seeing and he' s not quite sure where
he' s going to legislate to promote, probably the local development of artificial
intelligence or the attraction or both from abroad of this kind of developments, on
the one hand and on the other, of course, not just Ahorita.
Let us give some examples. To protect the consumer, but to protect the
general public from any risk they might have in terms of infringement, human rights
of infringement, copyright, infringement also, of course, because, to topics
such as image or data privacy, examples of interaction between the neer shorring and
artificial intelligence. Really every company that is going to invest uses artificial intelligence to
support it in development, from analyzing the feasibility of investment in a place,
depending on the resources available, from raw material, from water, from previous
conflicts that may or may not have opened with that industrial sector, from logistic
capabilities, that has a certain region, labor, available, total costs,
taxes to pay markets And it is going to develop for a local market,
Or if it is going to develop to export. Well, if your target
market is plausible, where that industry is going to be established, which is
the fast receiver of your products, then we actually use artificial intelligence for many
of the areas of many companies that we export, both at the time that
you are managing or performing the production or service and at the time of analyzing
the behavior of the final consumer. Well, there are other countries where,
for example, Brazil has more serious initiatives. It has a law, in
fact, two thousand twenty- one, but it' s a little archaic.
In fact, I saw him with my Brazilian colleagues a couple of weeks
ago. But there is already an initiative, a little more complete than two
thousand twenty- three, not so much promoting artificial intelligence. Developments in your
country or the attraction of foreign investment in the matter. But yes, at
least trying to cover a little bit the area of protection of the people,
that is, of protections of the human rights of the people and the possible
violation that could be seen in terms of artificial intelligence. On the other hand,
I was already commenting on the issue of the United States at the beginning.
Unfortunately, there is still no specific law on artificial intelligence in the United
States. There have been some initiatives in the United States. Probably and that
is a totally opinion your server is more reluctant to this kind of information,
to this kind of topics, because America is one of the pointers. It
' s no one' s denying it good. Its companies are among the
leaders in the development of artificial intelligence have adapted it to a multiplicity of situations
in life and in the market, of course, and in the industry.
So there is still no legislation on artificial intelligence. I honestly don' t
know if it' s because the legislators in the United States are waiting for
the platforms I' m saying to self- regulate. It could be a
reality. Artificial intelligence development platforms might say don' t worry. I'
m going to self- regulate how efficient that self- regulation is going to
be. I don' t know, I don' t know, I
don' t have a parameter to tell you. It' s going to
be poor, it' s going to be very efficient, because we haven
' t seen it. But what is absolutely true is that there is still
no legislation in this area. There are other countries, however, such as
the Republic of Korea, where it has experience and on both sides, i
e the Republic of Korea has already issued on consumer protection aspects, but also
on corporate drive, i e the case of Korea. Knowing the country also
as one of the pointers in the development of new technologies, knowing that it
has several companies and I say not only I, I say it openly I
represent Samsung C but there are other companies in Korea. Believe me that there
are several companies that are quite strong in terms of technology, and all of
them, because they are equally interested in saying that practicing under this legal framework
is to know in advance what the rules of the game are in each country.
Many of them have plenty of liquidity. That is why the importance of
foreign trade hears looking for where to invest. I need to know how much
openness or not there is in a given country to invest. So, in
Korea there are several national consumer protection laws that are so much right now.
Let' s go to another country' s example, let' s see
how this consumer protection is done or what specific points they touch on. But
also of corporate impulse, that is, to officially promote this policy on how
to power the company, generate artificial intelligence, take advantage of it for industrial
uses, for commercial uses, for an improvement Korea has several national institutions,
such as the Korean Traide Association and research institutions that are constantly evaluating the competitiveness
of Korean companies, both within Korea and globally. Both rich you who say
that you seek to regulate the algorithm or data protection, in fact, as
part of consumer protection. They are both the algorithm protecting consumer human rights and
data protection, but also the corporate drive that in cases like Korea is given
a lot, that is, how to promote development and how companies can generate
more and generate better quality artificial intelligence so that it can reach abroad and,
obviously, profit. Many of these companies, well, in my case,
have at least tried to validate how the issue is found in other countries,
if there is legislation or if there is no, then good to know or
already try to know and identify the risk of each country, but it is
important for them to know if there is already legislation, well, to know
the rules of the game, to know what they adhere to. I believe
that Mexico' s lack of legislation on the subject, because I can eventually
lead it to stay behind on some possible investment in these developments or if this
investment is made, even without that legislation, you can stay a little behind
on how to protect the consumer and, above all, the general public,
the general public, whether it is a citizen or already a minor, on
the effects that artificial intelligence can have on good and bad people. I think
he looks a lot better. But still, if you ask me, I
say right now that we will have the question- and- answer session,
because if we will also see what the risks it has for factual considerations could
be. Well, I think I' ve seen China' s legislation,
although I don' t totally agree with many of the paragraphs. I have
to accept that this government is probably the most advanced at the global level in
terms of artificial intelligence legislation. And why do I say it' s probably
the most advanced country because it' s got ten laws, but I think
it' s as many as fourteen. China includes consumer protection, per se
being informed when something it is buying is being generated by artificial intelligence, for
example, a company protection service, as well as Korea, to promote that
its local companies can generate artificial intelligence developments, that they support academia, that
they support each other, that they are supported by government ministries of science,
which is also very important. Then it has laws that regulate and promote these
issues in favor of the company. China has data protection laws, i e,
where encrypted systems exist, databases that avoid violating people' s information,
that make people aware if their information, for example, in the case of
artificial intelligence, in the use of their biometric data, will be used and
or shared with third parties. They have very clear guidelines on how to generate
an entire system of artificial intelligence, of formation of algorithms, which is part
of the questions that we already had, that is, China does focus on
one of its various laws a lot on the formation of algorithms and ethical principles
for the formation of algorithms, of risk analysis, for the generation of these
artificial intelligence systems, of auditing by the ministries of science that these mechanisms of
risk analysis are actually being carried out is something very important, that is,
China, openly already has legislation where the government can audit the generation of these
systems and how the algorithms work and how these algorithms are verified, something like
the data protection law in Mexico so far as it has implemented artificial intelligence issues,
of promoting the industry already told them of ethics, of how government organs
can interact with artificial intelligence, auditing, and manipulation of sensitive data. This
is very important. By manipulation of sensitive data I mean special protections aimed at
protecting data that are considered sensitive to people, for example medical records, personal
homes of persons some state of health, among others, that have to have
additional protections when these systems of human responsibility enter, that is, that at
the end of the day we recognize that there are people behind and that those
people have to be responsible for the use of these systems. They also have
labelling responsibilities. And this is very important, that is, how labelling is
important for people who are interacting with intelligence or with perceptions of reality generated by
artificial intelligence to have this content explicitly labeled. That is, the content that
the image, that the voice, that the video, that the painting,
that photography, among others, are visualizing are generated by artificial intelligence and that
do not necessarily correspond to a basis of reality, that is, that it
can be totally generated by artificial intelligence that content. And finally, I say
China guidelines of the Communist Party, that is, how all developments of artificial
intelligence must be based on the guidelines of the Communist Party? Finally, what
are they, what is the importance. Obviously, human rights and also industry
and academia. Well, first of all, the relevant legislation should include human
rights that protect the consumer, as we already saw in the Chinese case,
for example, consumer personal data, consumer privacy sensitivity, copyright. That is
to say, it is important how nice it is that my work is reproduced
and made known to the world, but that there is a prior consent,
that is, that it was not reproduced perhaps through artificial intelligence, my work
written my voice. If I was a singer, I say I' m
not a so much famous and I' ve never had since even the cario
that I sing pretty, but well, imagine that it was, that is,
obviously, to have that prior consent before indiscriminately reproducing my voice, for
example, the image of people videos and obviously avoiding that unauthorized use has been
given, the unauthorized use of the image of people or of some place that
is protected from voice videos on the whole subject and China does mention it explicitly.
The deep fakes, that is, the fact that you create a whole
situation in a video in images with you that is not real, that is,
that you put in people under an apparent situation people under an apparently very
compromising situation, for example, when it is not a real situation, when
it is really a deep fake, that is, it is a creation of
artificial intelligence of people using clearly their image, their voice and reproducing it by
videos, manipulating medical data, for example, that could be very sensitive electoral
campaigns through analyses of preference, for example, marketing, which is very sensitive
that it is already a research in the United States, that subject audits,
fiscal issues and, above all, labelling that whenever these systems are used,
people know that what they are consuming is generated by artificial intelligence that may or
may not correspond to something real and also logically. On the other hand,
I say, as in all technological subjects, human rights are human rights forgiveness
are fundamental, but also, obviously, the promotion of their development must be
considered. We have to be aware that the issue of artificial intelligence. It
' s not something that' s coming or going to happen in the immediate
future. It' s a real thing, it' s something that already
has time. It is something that although certain countries are pointers, because it
is already affecting us in very positive ways, others perhaps, not so much,
but it is affecting us globally. So, well, this has different
academies for the academy, the industry. How we can take advantage of these
developments in commerce, in academia, how we can realize that symbiosis, for
example, how companies can come to invest in these kinds of developments, in
these kinds of mechanisms, how they can take advantage of the capabilities that local
in Mexico and in other countries. But I am currently referring to the case
of Mexico, some fiscal incentive. I do not know what may be out
there in the case of development, for example, in data analysis that sometimes,
as I said to them in the previous examples, could take years to
develop and now, because they are carried out in seconds to give them a
little conclusion and before opening a session of questions and answers, if they ask
me, since the developments of artificial intelligence began and again I return to the
same thing. That' s a personal opinion. We each have our own
opinion. Our experiences, even seemed fantastic to me, are particularly on the
side of the company, developments with which in seconds or in fractions seconds you
can realize marketing trends, consumption trends new products, adapt them to people to
be more agile in areas even at the best. I' m very far
from marketing because I' m in my corner, not I as a company
lawyer, because there with my team, with my guys, because it'
s fascinating as maybe, Sometimes document comparison is wonderful how systems support us to
do the work much more agile to see how in other areas also expedited their
work improves in the company. Honestly, we haven' t had personnel casualties
on artificial intelligence issues, which is one of the so- called fears,
at least to the contrary right now. For example, the logistics guys use
it a lot in their systems for analysis of routes, for the creation now
yes, of services, of improvement of services to the customers, of improvement
in the platforms, of quotations, of services, of predictions of how it
will be the movement of prices, for example, in vain, that is
marine, of air shipments, of terrestrial shipments, of the supply and the
demand of an analysis again we return to prediction predictions of what we can expect
or of the risks that we can expect in terms of ability of flotillas,
demand of customers expectations in the future, in the immediate years, after the
adjustment of the variability that could even be in the climate, even then,
it is a tool or fantastic tools that have helped the industry greatly in terms
of the risks of entry. If you ask me. I think it is
a great risk not to legislate yet, not to have legislation in this area,
because at the end of the day, because we are behind other players
who can take advantage of it, even if they do not have companies that
do this kind of thing nationally, because they do attract this kind of investment,
it seems to me that right now. We' re at a very
good time. If it is not right now, I say that this government
is already going to the next government in order to develop this kind of mechanisms,
this kind of good, rather, this kind of legislation that can encourage
in the first instance, this kind of investments, but in the second instance
also why not delimit, what protection the general public will have, what protection
the final consumer will have here in Mexico, at the moment of being exposed
to this kind of technology that today, we already have here in the country.
Thank you so much. With this, I believe that I conclude what
my participation is and that I will allow you here to have a question-
and- answer session, if you had, but thank you very much.
It is that we have seen that internationally you bring a lot of experience and
you know how it is raised this topic gave also by the logistic part and
here are as commenting. Or we were asked what I say excellent talk,
but, for example, if you could give us some examples of artificial intelligence
with Ner Sharing, yes, of course, yes, for example, what
is in logistics right now with the Newer shorreng becomes quite effective, for example,
and is not advertising. But in the company, as they have taken
advantage of it, they have created platforms. On one of the platforms of
the company called Chell Square, which, thanks to artificial intelligence this platform does,
customers increasingly want to export to the United States and Canada from Mexico,
both foreign companies and some domestic companies. So what this platform does is use
artificial intelligence media to be able to analyze more quickly, for example, from
entry to the moment a company registers if the documents that the company is giving
me are real or not, for example, if this company is really consistent,
if it exists in the market. Second, the creditworthiness of the company.
Well if this company is really a solid company with the ability to pay
for this type of logistics operations, for example, this interconnectivity with other credit
agencies to validate if the company' s information not only legal, but also
financial, is consistent with what we have. Thirdly, the different services that
the company can request and I repeat in my experience, because it is logistics
mainly to analyze. Well if I' m really going to be able to
be competitive at the time that the company is asking me for a storage of
five thousand six hundred square meters for thirty- three days in the city of
the Texas area, well, what rate can I offer you, how can
I be more competitive the route. If the land route you' re asking
me for is ideal, how I' m going to quote it, if
it' s going to be in weight, if it' s going to
be in dollars, according to the customer' s needs or if it'
s a maritime service, for example, what services I can integrate into the
maritime service. These are topics that, thanks to artificial intelligence, could take
three four days before. Right now, because it' s a matter of
minutes thanks to this data analysis, which is much more powerful, that requires
a much greater initial investment, but that the exit is more efficient to give
to your client, in this case or to your exporting prospect, since a
more effective and more agile solution at the time of being able to intervene maybe
I told them already at the moment that I started the talk in my area
is a little more limited in the legal issue. Maybe we use it more
as a data analysis, more as a risk analysis topic as well. But
in the end, because it can also be used a little bit on this
topic, on a more global topic for companies, because it is more important
because it is carried out in this way. For companies, for example,
since they are still producing, it may be the analysis I told them a
few moments ago. Well, I want these systems to support me. Where
I am going to invest, how I am going to invest, how much
risk I have in investing in a certain industry, in electronics, in electricity,
in automotive and, above all, in behavior for industries that are more
retail, the behaviour of the final consumer, which is increasingly important, Where
I have to locate myself to be closer to my final consumer, Amazon ours,
because I cannot tell you competitor, because I believe that for Amazon we
are neither competitors nor encounter us, but they are never, for example,
ours. Our logistics ideal uses very much artificial intelligence to know where I am
going to establish a warehouse, that is, not even in which city,
but in which block, of which colony, of which city. I'
m going to establish, how many square meters, what products I' m
going to handle in that warehouse, what routes, what kind of vehicles I
have to use in that warehouse, what schedule I' m going to use
to move my product in that warehouse. What does Amazon use that for,
then, obviously, to efficientize its supply chain, both its own product and
third- party products that are handling it in its market. It is a
very large investment that Amazon has made. I daresay, it' s a
lot bigger than ours. I have no doubt, precisely to improve its logistical
capacity, something that Amazon, in the pandemic, exploited in terms of its
investment and that it has not stopped growing right now to support such mechanisms.
Here they are also telling us that, obviously excellent talk will be put on,
of which, from inventory control, it is time that stocks were checked
to see if it is possible to issue an invoice already used artificial intelligence.
Yeah, that' s right, Mira. I do not know if the
integral process of an inventory control can be carried out including the invoice, through
artificial intelligence, but definitely, at least the order so that already the final
moment can be issued the invoice, yes, it can be made through artificial
intelligence. This system definitely supports more efficient inventory control. First of all,
because it obviously saves you a lot of days of analysis of what traditional inventory
control is. Second, because it helps you bias or segment information about what
product you have. And thirdly, because of that product, because obviously already
the fact of that analysis, of condensing all that analysis, because it is
already the system that can automatically, because knowing what type of invoice is going
to be talked about. Obviously, it is important that there be a human
being validating the information, because I repeat to you the quality of the input
information will depend on the quality of the output. It would be very incongruous,
but it would be very risky for you to leave an artificial intelligence system.
To manage 100% of the information always has to be a human behind
and in the end, that is why I tell you not artificial intelligence,
at least to this day, at least in my company, of each one
of you can have a different opinion or a different perception, but at least
to this day. In my case, it has not generated any personnel losses,
but it has generated a process efficiency. As far as all stages are
concerned, i e billing, it continues to be handled by people. But
in the case of the system issue that we carried out, if the billing
took seven days before you had the end of the service for analysis, because
now, when it is through this platform, it can last hours. And
well, here too in the piece of legislation, here I mentioned that currently
what is sought to regulate is not that it is primarily the algorithm, or
it is more focused on data protection that feed artificial intelligence models, depending on
the country. I honestly dare and here I do have to recognize China very
much. In other words, China' s legislation is very comprehensive and covers
the algorithm, the system, the protection of personal data, the protection of
sensitive data, the protection of copyright, the labelling of systems that from abstractions
performed by artificial intelligence, special care with the use of deep fakes, special
care with sensitive data, the use of ethics, which for them are the
guidelines of the Communist Party. For us, then, obviously, it has
another meaning or another meaning, but in the end it is something that they
already have regulated us and we are not close yet. On the other hand,
for example, this country, which is one of the most advanced,
also has several laws in this regard. With regard to the promotion, at
the same time as developments in artificial intelligence, these mechanisms for encouraging enterprises and
encouraging research institutes to interact with companies and share openly data that they can promote.
The United States also has that part, only it barely has it at
the initiative level. There is not yet a legislative effort that has seen let
' s say reality or light already in form per se, that is,
a law in the United States forgiveness and here it is also telling us good
that it also includes, for example, one of the risks that they are
mentioning is generative language, like what chat Jipiti, which also involves sharing private
data on open servers not that is the part of artificial intelligence to be able
to use the model. I was looking at some legislation on this in the
United States or Mexico. In the United States, if there are initiatives,
I repeat they have not seen the light, but at least it is already
under consideration in Congress. Sadly in Mexico. Not sadly in Mexico we don
' t have any serious information about it. So, for the time being
and already in a talk with specialists, it was very interesting, because it
is that part of an engineer who was Mit' s and who has a
lot of experience and gave us sonle great his story. Or tell us I
was coming from Oaxa. But like something saw me and pulled me almat says
and there semi specialist in engineering, in blah blah blah, I missed apology,
but I am a lawyer. But it was no longer explained why.
And it' s very logical, the chat gpit and I explained it with
very simple words, because sometimes I could generate you trash, because many times
the input information of chatchipit is trash, then it tells us. If you
throw garbage into an information entry, anything' s going to get away,
it' s going to be garbage, it' s gone, then it
' s gone. It doesn' t have enough quality, I say at
least the trial version. But what is the risk, the fact of sharing
sensitive data to these types of platforms. Well, if there is no legislation
in this respect that is robust enough at national level. Yes, indeed,
there is a great risk of breaching the data. There must always be that
legislation. Considering, therefore, the protection of the individual, the human rights
of how my personal data will be used, in part my sensitive data.
Europe, I say, is very applauded in this regard to make a lot
of legislation on protection. I don' t know how they' re doing
promotion. The truth now Europe, again this is already a personal opinion.
It has fallen a little behind in new technology subjects. The pointers right now
are the United States, China, enormous from other countries such as Korea,
Japan, etc, which have given a lot of impetus to these systems.
And, well, here too Francis tells us it is undeniable that, given
the infinity of variables that artificial intelligence has, the human criterion will always be
present. And obviously, this is vital. I believe that for the part
of legislation they will have to put in place that is when the human criterion
has to intervene. Indeed, and above all, why the guideline has to
regulate the human criterion so much at the time of generating the information that is,
the group of people. I don' t want to tell you a
person, because it' s usually going to be a group of people who
generate these systems, the group of people who do the final validation of this
system, the people who are going to be doing the internal audit within a
platform, that is, that generates this type of systems and, above all,
because the external people or the government that takes charge as a third party
to perform this audit, no longer within the company that is generating this system,
but the third, that is, what guidelines will consider to say well,
this system is working properly or has these vulnerabilities. I say undoubtedly,
all technology is going to have its vulnerabilities, but the fact will be how
quickly they are effective, because a country, we adapt to it and we
can improve it. I think that having legislation is already a very important step
forward in not having it, because in the end, we have nothing on
how to define the people' s rules. And, here, lastly,
here I was commented this Juanito sat, which is his opinion if he will
have the increase of that employment, all that is artificial intelligence. Or to
keep in mind that if machines are able to perform the same tasks as humans,
and therefore, this would increase the deaclerating. I believe that historically there
has always been that concern when we see the implementation of a new technology that
is going to increase unemployment, etc. At least today it hasn' t
been seen. Yeah, I think there are areas obviously, we' d
have to do an analysis. Yes, there are going to be areas that
are going to be more vulnerable than others to the issue of lower job availability.
However, there will also be areas, especially in the development of technologies,
that will also increase this type of jobs, where there will be more
jobs available, because, definitely, the fact of artificial intelligence developers, as
evaluators of this type of mechanism are not subjects that we currently have, at
least in Mexico, that we are so expert in the matter and that in
the immediate future could be opened up as such jobs. And, well,
I' d like to open it. I don' t know if you
' d like to be a comment. Thank you, Dani, Thank you,
there are many congratulations, It is Doctor Juan Ilish, many congratulations,
because it is very shocking all this artificial intelligence. I' ll take the
first picture you put is predicting. Yeah, I' d like to ask
you a question. Israel' s way of doing artificial intelligence. Look at
curious case, but very good comment, very wise. Israel is one of
the leaders in technology investment, one of the leaders in investment, in security,
in artificial intelligence. Also, that is, obviously, compared to the
size of the country, that is, we cannot compare it to the United
States, which is a country of three hundred and thirty million inhabitants, to
Israel, which is a small part of this size, but it is incredible
immediately after the invasion, I say obviously, after condemning the violence that has
taken place on both sides. But first of all to Israel, Etcé.
The first thing all international analysts have asked themselves is what happened to Israel,
that is, this whole system of predictions have advanced research espionage that has these
investments, what happened, that is, why it took them from how it
could have taken them. Surprisingly this attack. I say that is something or
could do, something that could be a flaw, a vulnerability in these predictions.
In the end, what we' re saying is a prediction of the
available data, i e, I don' t know that information input has
had so that its output has been not going to have an attack or yesterday
day, for example, that was Sunday eight. Sunday eight is going to
behave like any other Sunday. I have not based my best on the prediction
that the last ten zero Sundays of the last few years, since one thousand
nine hundred and fifty- one to date, there has never been any attack.
So if the data entry was that if the last ten zero Sundays there
' s never been an attack, then, then, then now there'
s not going to be any attack. It' s the conclusion. When
I have my hypothesis and let me share it. The Mosak is one of
the most effective intelligences in the world. I' m going to take as
an example the downing of the Twin Towers. It was so that, if
I had international sympathy for the invasion of Afghanistan, I believe in my hypothesis,
that this was already pre- established and even induced. It costs lives?
It costs lives, but how to remove the dome of the Rock in
the temple of Jerusalem only with a war issue. There' s the justification.
There will be the downing and it will be the construction of the third
temple in Jerusalem, so eager that they have this historical aspect with a faith
of the Israelites who are looking forward to it. So, yes, if
you saw artificial intelligence in order to create a conflict and bring justification, it
would be hypothesis. After all, hypothesis, yes, my, thank you
very much for Nadal. It' s interesting to know or understand that artificial
intelligence we want at first is that generated by people and by people who may
have their prejudices or their ideas pre- established and definitely and if you'
ve spoken I say to myself I don' t like to use the adjective
often better worse if you' ve talked to people from other countries, maybe
an American, a Brazilian, a Russian, a Korean my company. When
we make these meetings on a global level, which are very beneficial that we
meet in this way several countries, there are so many that you stay,
that is, every one that touches on a topic and legal issues, not
even technological issues. You realize that there is a diversity of very large opinions
and that often look, that diversity of opinions not only reflect that person,
but reflect the generality of the country from which that person comes. So,
in the end, we each have very different beliefs. So the fact that
these kinds of international conflicts are children shows once again how these different beliefs already
impact reality and sadly, sometimes with violence. Sadly. Thank you very much,
Happy Doctor. Thank you Dani, thank you the Doctor. The truth
is, it' s been an extraordinary conversation. Have lots of requests around
here, because many issues leave us thinking and, above all, also push,
on the part of private initiative, also the government to have initiatives to
start legislating this issue that, as they say, we are lagging behind and
tomorrow we can have a major impact on business, investment, etc. Not
then, I think it is up to us now to push the government to
start legislating. Thank you very much, very interesting talks. Thank you for
sharing, because we know that it has been to courses internationally and that that
you are absorbing that you can transmit us and make this barter wonderful and good.
On the contrary, as always the invitation Daniela Octavio, Dr Guadalupe,
this marda, I thank you very much the organization for the information, because
we hope to see us soon there, here forgiveness. Thank you very much,
because from the entire team of TVs magas in Mexico we come to a
barter we want to give this virtual recognition to Dr Juan Illiche Pérez García for
doing. I think in the vital conversation with the subject of legislation and artificial
intelligence. Where we are going on the 9th of October, two thousand twenty
- three, filmed by the other one of the tower and your servant,
thank you so much and it was truly an honor to have you here again.
On the contrary, thank you very much and have an excellent afternoon.
Thank you very much for the invitation. We' ve reached the end of
today' s boat. Thank you so much for joining us. This was
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