Welcome to Podcast uber I' m Karen Garcia. In today' s episode
we will talk about the world of artificial intelligence and its impact on the production
and dissemination of knowledge. To guide us a little bit more in this conversation,
we have the pleasure of talking with MiguelÁngel Pineda, Cup Masters in
History students from the National University of Colombia and expert in University Edition Hello,
MiguelÁngel. It' s nice to have you with us Hello. Good
morning. Thank you very much for the invitation and, well, a pleasure
to be part of this podcast and a greeting to all the audiences who listen
to us to understand a little more this relationship between academia and artificial intelligence.
You could explain these concepts to us. Yeah, well, artificial intelligence.
Let' s say there are many definitions and there are ways to assume it
and understand it, but let' s say that, in general, what
we could understand today is that they are technologies that are ready for human beings
in order to achieve support or support, a help in different scenarios, productive,
generative of knowledge. That is why there are different language models, there
are different behavioral models and artificial intelligence generation that are based on a large amount
of database that learns that intelligence to configure certain knowledge, certain products or that
generates certain content in specific. Then they are based on a generative, automated,
trained, generative sense that, therefore, is left to the person who
consults artificial intelligence in different topics that are asked to artificial intelligence. An artificial
intelligence can generate an image, it can generate a video, it can generate
a text, different products that we can indicate that intelligence so that we can
how you do in your data training, generate a product or a specific response.
So that' s like the most basic definition we can understand of artificial
intelligence. And just one of the areas that is getting the most impact from
these generational or automated technologies is education. I believe that there are some very
interesting reconfigurations of certain educational practices, professional pedagogical practices that are telling teachers,
students, the whole value chain of education, that things are changing, in
the way that knowledge is being produced and disseminated. Today, then, these
artificial intelligences come to support precisely educational processes and that I believe that today,
for education, is a great opportunity beyond a risk or a prevention that we
should have that there are, of course, like any other technology. But
I believe that nowadays, these generational technologies, based on large amounts of data
for what they are today is to be able to support pedagogical training processes and
I think there is a lot to say and a lot that they explore in
those connections between academy and artificial intelligence. Michelangelo that also how machine learning systems
and algorithmic models can improve the productivity and quality of research in a professional or
educational environment. Yes, more or less something I mentioned before and I think
machine learning systems that help people who approach technologies and who use these kinds of
systems is just organizing a series of data to train a technological tool that is
based on a series of algorithms, a series of codes and specific programming that
receives that amount of data and processes them to interpret a response that is very
close to what we asked for. I think that, in that sense,
artificial intelligence, because it improves productivity because they make it more agile, a
consulted and much more specific, much richer, depending on the amount of data
that the intelligence has that adopted intelligence, not much more punctual, if you
want, because well, for example, Google is an artificial intelligence that I
have lived with us for many years. Not because, of course, it
' s automated technology that you consult the portal and the portal gives you five
hundred thirty- eight thousand results according to what you asked. But let'
s say that, unlike Google, artifical intelligence, trained learning systems, and
algorithmic language learning models are more specific and focused on the amount of data you
have provided. That intelligence so that she interoperates that information and generates a series
of concrete answers. No, then I feel that if productivity improves because,
as I tell you today, we can already do a direct consultation, as
I need to generate an image with these specific specifications and it generates it to
you because it is already interpreting something much more elaborate, much more specific and
gives you a very close answer to what is expected. Then let' s
say times. Now that is something that already facilitates the processes. Time,
above all to be precise and to be the most agile today in society,
because we can give greater and more prompt answers to the questions of life and,
for example, models of language, algorithmic as chad Gi Piti, which
is one of many examples, is precisely designed to generate that kind of immediate
response that allows us to base ourselves and from there to build new knowledge,
because, of course, artificial incligence has given us its knowledge according to what
we have given it of supply for the one who trains. He' s
practically giving us the answer we want, but it' s in us to
say good. Chadjipit helped me, but this is a starting point for producing
something much more powerful, richer. So, in that sense, that'
s where the researcher, the teacher, the teacher, the student or the
university editor or the librarian would have to think about the quality of the research,
because of course I had an intelligence that used me. For everything it
helped me, but I am the one who, somehow yes or yes,
must give the quality to the investigation, recognizing that I made use of an
artificial intelligence that helped me. So yes, you can talk about quality based
on artificial intelligence, but always through the mediation of the human being, in
his critical concept, in his argumentative apparatus, that artificial intelligence is always a
starting point, a support and not the essence of the quality of the research.
Miguel and for those people you mentioned earlier, for example, a student,
a teacher or perhaps a librarian or an editor, what ethical or legal
challenges should this person use when making use of artificial intelligence in any research that
is being conducted? If we say that as the most important thing at this
point is that there is the mediation between technology, data and in half.
I' d put the investigator, the human being. It is very important
because, of course, artificial intelligence can generate a knowledge, a response that
we hope will help us, but it is not always accurate. We cannot
trust at all that artificial intelligence will supply everything, all the knowledge or all
the production processes of a knowledge. So what are the risks, as in
that sense, since inaccuracy, lack of academic integrity. I think that is
also a very important problem, because of course, students, teachers, well
different actors in the value chain of education, are at risk of falling into
certain simplistic and reductionist activities. And that, in some way, could lead
to us not respecting other people' s current intellectual property. Or we are
not even respecting ourselves, because we are relying on our knowledge to a technology
that, if we fully assume it and say this is and there is nothing
else to say, this is the perfect knowledge and we do not question it.
I believe that we are being, as disrespectful and there are ethical principles
of respect, fairness, justice, integrity and the good name of prestige,
but also of the quality of what we were talking about, of the last
question, of academic quality. It would be at risk if we did not
think judiciously of instruments that would help us to care for knowledge, to preserve
it, to do so, to germinate with great quality, with great awareness.
So I think that like the big challenges in this regard, ah well,
another big problem would be digital gaps. Not today, many people could
be trained in the use of artificial intelligences and it' s a very practical
thing. Nor is it so difficult, but for others it is difficult.
No. So let' s think about distant populations, Colombia, the rural
world, the peasant world, rural education, community education, let' s
think that how they' re going to use artificial intelligence will be that they
' re prepared. We can help them consciously and critically prepare for the use
of intelligences. Is the country ready for that? What would be the program
or the course to carry out that? That' s not clear today.
And I think the digital divide is big, because more and more people are
going to know, at least in centrality, for example, Bogotá Me and
Cali Barranquilla, the main capitals of the country. It will have a population
that can be trained and can know the tools of aficionado intelligence or base its
work on artificial intelligence, but that other people in the country, that other
citizens, have access to artificial intelligences and, above all, how they will
use them and if they will use them responsibly. Then I think there is
a challenge beyond social ethics. It seems to me, then, and already,
the current regulations, the current regulations, because currently the country has entered
into a new policy of regulating artificial intelligence thanks to the Ministry of Science and
Technology. This policy is progressing, it is being known, but I think
it lacks much more development, much more socialization, much more knowledge and,
above all, much more involvement of different actors in society, because here we
are talking about a scenario between quotation marks of privilege, which is education.
But let us think, as I say, of the day- to-
day world of people who require daily support in a technology that can facilitate or
propose a solution to something concrete, such as a text, a video,
an image, something generative that supports some much richer process. So that is,
as we say, like the big ones, the big difficulties, as
I see it as the big risk is that we do not respect that use
and that it is not a and that it becomes irresponsible of its use,
because if we do not have control barriers, that knowledge is going to overcome
the barrier and because we also run a little risk of knowing what human beings
did, what intelligence did and how we want that new knowledge that is being
produced. Miguel and changing a little topic in terms of your expertise in the
university edition, what are the main trends in the publishing market related to artificial
intelligence. Let' s say that if today I think there are several tools
and in fact, the event that I come to comment today on these microphones.
He is just going to dedicate himself at a main conference and a specific
table to talking about the most important and most useful tools for the dissemination of
knowledge today and for the future. Not then do I think that today,
the university editor or academic editor is like at that breaking point, jumping towards
how to think profitable editorial projects that are more agile, is much richer,
is much more dynamic from artificial intelligences that can provide support in knowing what are
the markets that can attend, how can generate a judicious and detailed database of
this type of content, who can get to whom we can sell it,
how can we communicate it concretely and directly, and that person click to download
it, to buy it, to read it well, for multiple uses.
And that I think that the university editor today is en route to the idea
of assuming that his editorial project has to be sold, it has to be
sustained, because if not, then, it will perish, that is to
say almost always. The custom is that the university editor, in his mentality
of being a funded entity, does not have to worry about how the products
they edit or the content they are producing will come out. They didn'
t just pay me for this. I have money, for this I can
do it, but they stay half way in the march to be able to
take the next step, which is to spread that knowledge, divulge it,
communicate it to society. So I think artificial intelligence tools can build databases,
they can generate new flashy content to generate advertising, it can profile niche readers,
and I also think it can also optimize, as well as financial accounting
processes, how much it would cost to sell a book at different prices,
with different discounts. And that can be generated by artificial intelligence, because it
has the ability to program numbers text numbers that allow the university editor, if
he knows it, to train very well how to make an editorial project profitable
and take care of the economic values of his production. So, I think
there' s a very big challenge. They are the artificial intelligences definitely a
tool to be able to find the reader again, because I think we have
lost it a little bit and that is a relationship that is sometimes not cultivated
very well in the university edition. So I think artificial intelligence can help the
university editor to re- emerge that relationship with her readers, make them more
dynamic, more direct, if you want, because we will be able to
find information from many readers who are interested in certain contents and we can already
say ok with these contents, with these interests, I can orient my editorial
catalogue towards there. Not then is it a great opportunity, as we have
been holding the perfect principle Miguel and taking advantage that you are here in the
radio rosary microphones tell us about the event opportunities of artificial intelligence in the production
of knowledge and dissemination that will be held within the framework of the Book fair
in Bogotá two thousand twenty- four, in which also a radio rosary will
make presence, where the main opportunities and challenges of artificial intelligences in the academic
ecosystem will be analyzed. What are the main expectations you have in front of
the Good event. Yes, Specifically, the event is called the University Edition
Forum. It is an event that has been organized for many years by the
Association of University Publishers of Colombia ACEUC and that is this year the version is
precisely called academic intelligences and artificial intelligences. We will have guests from Spain,
Brazil, Colombia, Peru. Many editors from the mainland region will come in
Mexico, Chile, Peru itself, Venezuela Good in Spain, or there will
also be many editors who will share with us in two days, that is,
18 April and 19 April, in the afternoon days. They will share
with us new experiences and the most recent topics being discussed about artificial intelligence in
the academic world. So let' s say that the great expectation is first,
because, starting from the main conference, give as claritys and form different
actors, not only university or librarian editors, or all those who are related
to the scientific publication scenario, but in the amplitude. We want the professors
of the universities, of the professors of the schools to go to that event
and find out that what is happening in their field from artificial intelligences, which
is what is changing, which is what is mutating, and where this horizon
is going. So, that is a very general, very large conference that
aims to be more informative, formative, critical about the challenges and opportunities and
tools of artificial intelligence in the scientific and pedagogical world. And now, we
will also have tables that talk about the social, environmental and ethical impacts of
artificial intelligence in the academic world. Also on the same 18th of April we
will have a table that will talk about inclusive editing and accessibility in publications,
that is, how to think about editorial products or contents that are friendly and
respectful to communities with difficulties or disabilities, both visual, auditory and other types.
Then and how these products that are generated can also be supported or backed
by artificial intelligence. I mean, I think that those excluded communities too,
those communities that we don' t pay much attention to, have a very,
very big opportunity with artificial intelligences today. If the human being cannot help
him in his past, it will be that artificial intelligence can help people with
disabilities. It is a question that left how formulated and that I think the
Bureau will discuss and already on the second day we will count on José Fernando
Tabares. It comes from Brazil, the guest country of the film this year,
that publisher that distributor of editorial content, and he will give us a
practical workshop talk on the use of artificial intelligence in publishing production and the academic
publishing market. So it' s going to be very cool, because we
' re going to see army, we' re going to do exercises,
we' re going to know the application of the main tools, how to
sell, how to produce, how to facilitate the editorial workflow, how to
do editorial marketing. So, that' s going to be very rich,
because there we' re going to be trained beyond the theoretical. We'
re going to put into practice the use of artificial intelligence. And now to
close, we will have a table on cultural economy and artificial intelligence, that
is, how the arts, creativity, the scientific world is turned to think
critically about the use of artificial intelligences and how art also rents itself. Think
of business models for the future based on artificial intelligence. So, that'
s going to be very, very chevere, because we' re also going
to have people who are experts in marketing what they' re going to tell
us. Well, these are tools, these are the risks, these are
the requirements to be able to think about profitable cultural projects that are thought of
based on new audiences and that are from audiences that are also using artificial intelligence.
So, that makes it very rich, because that reframes the scenario that
we think we' re starting from a point to a point B and I
don' t think there' s an interdependencies between different points. Some things
we give them, some other things we receive. And I think artificial intelligence
is changing those relationships. And finally, the event closes with a ceremony giving
the award to the university edition a lifetime that this year the winner is Dr
Estela Valbuena García. She was editor of the Catholic University of Colombia and was
treasurer for many years. She took part as the Board of Directors of ACEUC
and she, therefore, had a very important role in the association so that
the university publishing association would grow and, above all, keep as the accounts
the fine ones of an association that we know that in Colombia associations are difficult
to maintain, They do not become extinct very quickly, but thanks to women
like her and talents like her, because today the association lives and continues to
give many things for society, like this event that we invite them to participate
eighteen and nineteen April from two to six and a half in the afternoon.
And well, everyone is invited, because I think it is in everyone'
s interest to discuss in a critical, argumentative or knowledge of cause, but
also in a proactive way, the applications of artificial intelligence in the academic world.
That' s right, Miguel, as you well said, it'
s a topic that matters to all of us then, as a last question,
where we can find information in general terms, where the event itself is
going to be that has set aside a pavilion of corperias. Yes, the
event is going to take place in the great B Hall of corpheries. That
is a sector, a corner of corferias and there are, therefore, several
halls. Ours is going to be the B in the afternoon hours of the
18th and 19th of April, and all the information, all the complete programming,
can be found on the page of the film two thousand twenty- four
and there in the tab that says professional days. There they are going to
find Forum of University Edition, academic intelligences and artificial intelligences. And there,
then, you can also purchase your tickets to enter the forum and we also
invite you to follow the social networks of ACEUC both on Instagram, Facebook,
on Linkedin. There' s a lot of information. Every day we'
re publishing information and well, I really think the event is unmissable. It
is a very good offer accessible for all axis, for all. Really very
guests and there we expect them perfect. Thanks to all the listeners of Podcast
Uere. We were talking with Miguel Pineda about all these issues related to artificial
intelligence that, as our guest said well, is a topic that we all
need to know and that we all need to know the specific characteristics of this
tool. Thank you all for tuning in and we' ll be with more
until soon.