1 00:00:02,120 --> 00:00:06,400 Welcome to Podcast uber I' m Karen Garcia. In today' s episode 2 00:00:06,480 --> 00:00:11,240 we will talk about the world of artificial intelligence and its impact on the production 3 00:00:11,279 --> 00:00:17,039 and dissemination of knowledge. To guide us a little bit more in this conversation, 4 00:00:17,320 --> 00:00:22,559 we have the pleasure of talking with MiguelÁngel Pineda, Cup Masters in 5 00:00:22,920 --> 00:00:27,960 History students from the National University of Colombia and expert in University Edition Hello, 6 00:00:28,280 --> 00:00:31,679 MiguelÁngel. It' s nice to have you with us Hello. Good 7 00:00:31,719 --> 00:00:35,280 morning. Thank you very much for the invitation and, well, a pleasure 8 00:00:35,759 --> 00:00:40,560 to be part of this podcast and a greeting to all the audiences who listen 9 00:00:40,600 --> 00:00:46,159 to us to understand a little more this relationship between academia and artificial intelligence. 10 00:00:47,840 --> 00:00:54,719 You could explain these concepts to us. Yeah, well, artificial intelligence. 11 00:00:56,280 --> 00:01:02,920 Let' s say there are many definitions and there are ways to assume it 12 00:01:02,960 --> 00:01:06,480 and understand it, but let' s say that, in general, what 13 00:01:07,040 --> 00:01:14,560 we could understand today is that they are technologies that are ready for human beings 14 00:01:14,640 --> 00:01:21,920 in order to achieve support or support, a help in different scenarios, productive, 15 00:01:21,920 --> 00:01:26,719 generative of knowledge. That is why there are different language models, there 16 00:01:26,680 --> 00:01:34,439 are different behavioral models and artificial intelligence generation that are based on a large amount 17 00:01:34,519 --> 00:01:42,439 of database that learns that intelligence to configure certain knowledge, certain products or that 18 00:01:42,519 --> 00:01:53,920 generates certain content in specific. Then they are based on a generative, automated, 19 00:01:53,400 --> 00:02:01,280 trained, generative sense that, therefore, is left to the person who 20 00:02:01,319 --> 00:02:08,520 consults artificial intelligence in different topics that are asked to artificial intelligence. An artificial 21 00:02:08,520 --> 00:02:14,120 intelligence can generate an image, it can generate a video, it can generate 22 00:02:14,120 --> 00:02:22,639 a text, different products that we can indicate that intelligence so that we can 23 00:02:22,680 --> 00:02:28,240 how you do in your data training, generate a product or a specific response. 24 00:02:28,439 --> 00:02:34,400 So that' s like the most basic definition we can understand of artificial 25 00:02:34,400 --> 00:02:42,080 intelligence. And just one of the areas that is getting the most impact from 26 00:02:42,199 --> 00:02:52,039 these generational or automated technologies is education. I believe that there are some very 27 00:02:52,159 --> 00:02:59,240 interesting reconfigurations of certain educational practices, professional pedagogical practices that are telling teachers, 28 00:02:59,400 --> 00:03:02,639 students, the whole value chain of education, that things are changing, in 29 00:03:05,039 --> 00:03:12,120 the way that knowledge is being produced and disseminated. Today, then, these 30 00:03:12,159 --> 00:03:21,800 artificial intelligences come to support precisely educational processes and that I believe that today, 31 00:03:22,039 --> 00:03:24,879 for education, is a great opportunity beyond a risk or a prevention that we 32 00:03:24,960 --> 00:03:31,360 should have that there are, of course, like any other technology. But 33 00:03:31,439 --> 00:03:38,680 I believe that nowadays, these generational technologies, based on large amounts of data 34 00:03:38,759 --> 00:03:46,240 for what they are today is to be able to support pedagogical training processes and 35 00:03:47,840 --> 00:03:53,479 I think there is a lot to say and a lot that they explore in 36 00:03:53,560 --> 00:04:00,280 those connections between academy and artificial intelligence. Michelangelo that also how machine learning systems 37 00:04:00,319 --> 00:04:06,560 and algorithmic models can improve the productivity and quality of research in a professional or 38 00:04:06,599 --> 00:04:16,000 educational environment. Yes, more or less something I mentioned before and I think 39 00:04:16,000 --> 00:04:25,079 machine learning systems that help people who approach technologies and who use these kinds of 40 00:04:25,079 --> 00:04:30,199 systems is just organizing a series of data to train a technological tool that is 41 00:04:30,199 --> 00:04:40,279 based on a series of algorithms, a series of codes and specific programming that 42 00:04:40,319 --> 00:04:46,199 receives that amount of data and processes them to interpret a response that is very 43 00:04:46,279 --> 00:04:53,839 close to what we asked for. I think that, in that sense, 44 00:04:55,600 --> 00:05:02,199 artificial intelligence, because it improves productivity because they make it more agile, a 45 00:05:02,439 --> 00:05:06,240 consulted and much more specific, much richer, depending on the amount of data 46 00:05:06,319 --> 00:05:14,720 that the intelligence has that adopted intelligence, not much more punctual, if you 47 00:05:14,800 --> 00:05:17,480 want, because well, for example, Google is an artificial intelligence that I 48 00:05:17,480 --> 00:05:23,720 have lived with us for many years. Not because, of course, it 49 00:05:23,720 --> 00:05:27,879 ' s automated technology that you consult the portal and the portal gives you five 50 00:05:27,959 --> 00:05:34,680 hundred thirty- eight thousand results according to what you asked. But let' 51 00:05:34,680 --> 00:05:43,519 s say that, unlike Google, artifical intelligence, trained learning systems, and 52 00:05:43,560 --> 00:05:50,399 algorithmic language learning models are more specific and focused on the amount of data you 53 00:05:51,360 --> 00:06:00,839 have provided. That intelligence so that she interoperates that information and generates a series 54 00:06:00,920 --> 00:06:09,000 of concrete answers. No, then I feel that if productivity improves because, 55 00:06:09,160 --> 00:06:11,879 as I tell you today, we can already do a direct consultation, as 56 00:06:11,879 --> 00:06:18,040 I need to generate an image with these specific specifications and it generates it to 57 00:06:18,120 --> 00:06:26,160 you because it is already interpreting something much more elaborate, much more specific and 58 00:06:26,240 --> 00:06:30,759 gives you a very close answer to what is expected. Then let' s 59 00:06:30,759 --> 00:06:36,279 say times. Now that is something that already facilitates the processes. Time, 60 00:06:36,680 --> 00:06:46,079 above all to be precise and to be the most agile today in society, 61 00:06:46,360 --> 00:06:51,399 because we can give greater and more prompt answers to the questions of life and, 62 00:06:53,040 --> 00:06:57,720 for example, models of language, algorithmic as chad Gi Piti, which 63 00:06:57,839 --> 00:07:03,399 is one of many examples, is precisely designed to generate that kind of immediate 64 00:07:03,439 --> 00:07:12,079 response that allows us to base ourselves and from there to build new knowledge, 65 00:07:12,759 --> 00:07:17,240 because, of course, artificial incligence has given us its knowledge according to what 66 00:07:17,319 --> 00:07:25,160 we have given it of supply for the one who trains. He' s 67 00:07:25,199 --> 00:07:29,199 practically giving us the answer we want, but it' s in us to 68 00:07:29,199 --> 00:07:32,480 say good. Chadjipit helped me, but this is a starting point for producing 69 00:07:32,519 --> 00:07:39,560 something much more powerful, richer. So, in that sense, that' 70 00:07:39,639 --> 00:07:44,519 s where the researcher, the teacher, the teacher, the student or the 71 00:07:44,600 --> 00:07:48,120 university editor or the librarian would have to think about the quality of the research, 72 00:07:48,759 --> 00:07:51,079 because of course I had an intelligence that used me. For everything it 73 00:07:51,079 --> 00:07:56,079 helped me, but I am the one who, somehow yes or yes, 74 00:07:56,160 --> 00:08:00,480 must give the quality to the investigation, recognizing that I made use of an 75 00:08:00,519 --> 00:08:07,160 artificial intelligence that helped me. So yes, you can talk about quality based 76 00:08:07,279 --> 00:08:11,879 on artificial intelligence, but always through the mediation of the human being, in 77 00:08:11,319 --> 00:08:18,160 his critical concept, in his argumentative apparatus, that artificial intelligence is always a 78 00:08:18,199 --> 00:08:22,160 starting point, a support and not the essence of the quality of the research. 79 00:08:24,279 --> 00:08:28,399 Miguel and for those people you mentioned earlier, for example, a student, 80 00:08:28,959 --> 00:08:35,200 a teacher or perhaps a librarian or an editor, what ethical or legal 81 00:08:35,399 --> 00:08:41,759 challenges should this person use when making use of artificial intelligence in any research that 82 00:08:41,840 --> 00:08:52,399 is being conducted? If we say that as the most important thing at this 83 00:08:52,399 --> 00:08:58,159 point is that there is the mediation between technology, data and in half. 84 00:08:58,759 --> 00:09:03,320 I' d put the investigator, the human being. It is very important 85 00:09:03,320 --> 00:09:09,080 because, of course, artificial intelligence can generate a knowledge, a response that 86 00:09:09,679 --> 00:09:16,039 we hope will help us, but it is not always accurate. We cannot 87 00:09:16,080 --> 00:09:22,399 trust at all that artificial intelligence will supply everything, all the knowledge or all 88 00:09:22,440 --> 00:09:30,279 the production processes of a knowledge. So what are the risks, as in 89 00:09:30,320 --> 00:09:37,159 that sense, since inaccuracy, lack of academic integrity. I think that is 90 00:09:37,200 --> 00:09:41,039 also a very important problem, because of course, students, teachers, well 91 00:09:41,120 --> 00:09:48,519 different actors in the value chain of education, are at risk of falling into 92 00:09:48,600 --> 00:09:56,559 certain simplistic and reductionist activities. And that, in some way, could lead 93 00:09:56,600 --> 00:10:03,639 to us not respecting other people' s current intellectual property. Or we are 94 00:10:03,679 --> 00:10:07,279 not even respecting ourselves, because we are relying on our knowledge to a technology 95 00:10:07,799 --> 00:10:13,080 that, if we fully assume it and say this is and there is nothing 96 00:10:13,240 --> 00:10:18,120 else to say, this is the perfect knowledge and we do not question it. 97 00:10:20,480 --> 00:10:26,039 I believe that we are being, as disrespectful and there are ethical principles 98 00:10:26,279 --> 00:10:31,840 of respect, fairness, justice, integrity and the good name of prestige, 99 00:10:31,039 --> 00:10:35,679 but also of the quality of what we were talking about, of the last 100 00:10:35,720 --> 00:10:43,960 question, of academic quality. It would be at risk if we did not 101 00:10:45,000 --> 00:10:50,559 think judiciously of instruments that would help us to care for knowledge, to preserve 102 00:10:50,799 --> 00:10:54,559 it, to do so, to germinate with great quality, with great awareness. 103 00:10:54,600 --> 00:10:58,639 So I think that like the big challenges in this regard, ah well, 104 00:11:00,039 --> 00:11:03,440 another big problem would be digital gaps. Not today, many people could 105 00:11:03,480 --> 00:11:07,720 be trained in the use of artificial intelligences and it' s a very practical 106 00:11:07,720 --> 00:11:11,279 thing. Nor is it so difficult, but for others it is difficult. 107 00:11:11,120 --> 00:11:16,120 No. So let' s think about distant populations, Colombia, the rural 108 00:11:16,120 --> 00:11:24,279 world, the peasant world, rural education, community education, let' s 109 00:11:24,720 --> 00:11:28,080 think that how they' re going to use artificial intelligence will be that they 110 00:11:28,080 --> 00:11:31,080 ' re prepared. We can help them consciously and critically prepare for the use 111 00:11:31,080 --> 00:11:37,320 of intelligences. Is the country ready for that? What would be the program 112 00:11:37,320 --> 00:11:41,200 or the course to carry out that? That' s not clear today. 113 00:11:41,919 --> 00:11:46,240 And I think the digital divide is big, because more and more people are 114 00:11:46,240 --> 00:11:48,799 going to know, at least in centrality, for example, Bogotá Me and 115 00:11:48,840 --> 00:11:54,120 Cali Barranquilla, the main capitals of the country. It will have a population 116 00:11:54,200 --> 00:12:00,519 that can be trained and can know the tools of aficionado intelligence or base its 117 00:12:00,600 --> 00:12:05,519 work on artificial intelligence, but that other people in the country, that other 118 00:12:05,600 --> 00:12:11,720 citizens, have access to artificial intelligences and, above all, how they will 119 00:12:11,000 --> 00:12:16,240 use them and if they will use them responsibly. Then I think there is 120 00:12:16,279 --> 00:12:22,919 a challenge beyond social ethics. It seems to me, then, and already, 121 00:12:24,840 --> 00:12:28,759 the current regulations, the current regulations, because currently the country has entered 122 00:12:28,879 --> 00:12:39,600 into a new policy of regulating artificial intelligence thanks to the Ministry of Science and 123 00:12:39,600 --> 00:12:45,039 Technology. This policy is progressing, it is being known, but I think 124 00:12:45,080 --> 00:12:50,080 it lacks much more development, much more socialization, much more knowledge and, 125 00:12:50,440 --> 00:12:54,919 above all, much more involvement of different actors in society, because here we 126 00:12:54,919 --> 00:13:00,000 are talking about a scenario between quotation marks of privilege, which is education. 127 00:13:01,200 --> 00:13:05,960 But let us think, as I say, of the day- to- 128 00:13:05,679 --> 00:13:11,440 day world of people who require daily support in a technology that can facilitate or 129 00:13:11,519 --> 00:13:16,679 propose a solution to something concrete, such as a text, a video, 130 00:13:16,840 --> 00:13:26,480 an image, something generative that supports some much richer process. So that is, 131 00:13:26,519 --> 00:13:31,120 as we say, like the big ones, the big difficulties, as 132 00:13:31,759 --> 00:13:35,200 I see it as the big risk is that we do not respect that use 133 00:13:35,360 --> 00:13:43,720 and that it is not a and that it becomes irresponsible of its use, 134 00:13:43,399 --> 00:13:50,879 because if we do not have control barriers, that knowledge is going to overcome 135 00:13:50,879 --> 00:13:54,879 the barrier and because we also run a little risk of knowing what human beings 136 00:13:54,919 --> 00:13:58,759 did, what intelligence did and how we want that new knowledge that is being 137 00:13:58,759 --> 00:14:09,200 produced. Miguel and changing a little topic in terms of your expertise in the 138 00:14:09,799 --> 00:14:15,759 university edition, what are the main trends in the publishing market related to artificial 139 00:14:15,799 --> 00:14:22,120 intelligence. Let' s say that if today I think there are several tools 140 00:14:22,200 --> 00:14:26,960 and in fact, the event that I come to comment today on these microphones. 141 00:14:26,639 --> 00:14:33,120 He is just going to dedicate himself at a main conference and a specific 142 00:14:33,159 --> 00:14:41,440 table to talking about the most important and most useful tools for the dissemination of 143 00:14:41,480 --> 00:14:46,720 knowledge today and for the future. Not then do I think that today, 144 00:14:46,919 --> 00:14:52,600 the university editor or academic editor is like at that breaking point, jumping towards 145 00:14:52,600 --> 00:14:58,960 how to think profitable editorial projects that are more agile, is much richer, 146 00:15:00,399 --> 00:15:05,720 is much more dynamic from artificial intelligences that can provide support in knowing what are 147 00:15:05,720 --> 00:15:11,399 the markets that can attend, how can generate a judicious and detailed database of 148 00:15:11,480 --> 00:15:18,360 this type of content, who can get to whom we can sell it, 149 00:15:18,000 --> 00:15:22,960 how can we communicate it concretely and directly, and that person click to download 150 00:15:22,039 --> 00:15:28,799 it, to buy it, to read it well, for multiple uses. 151 00:15:33,799 --> 00:15:39,919 And that I think that the university editor today is en route to the idea 152 00:15:41,000 --> 00:15:45,080 of assuming that his editorial project has to be sold, it has to be 153 00:15:45,960 --> 00:15:48,879 sustained, because if not, then, it will perish, that is to 154 00:15:48,960 --> 00:15:52,919 say almost always. The custom is that the university editor, in his mentality 155 00:15:54,039 --> 00:16:02,399 of being a funded entity, does not have to worry about how the products 156 00:16:02,519 --> 00:16:07,720 they edit or the content they are producing will come out. They didn' 157 00:16:07,799 --> 00:16:11,320 t just pay me for this. I have money, for this I can 158 00:16:11,360 --> 00:16:15,879 do it, but they stay half way in the march to be able to 159 00:16:15,919 --> 00:16:23,039 take the next step, which is to spread that knowledge, divulge it, 160 00:16:23,200 --> 00:16:27,679 communicate it to society. So I think artificial intelligence tools can build databases, 161 00:16:29,320 --> 00:16:36,440 they can generate new flashy content to generate advertising, it can profile niche readers, 162 00:16:37,679 --> 00:16:44,120 and I also think it can also optimize, as well as financial accounting 163 00:16:44,759 --> 00:16:49,840 processes, how much it would cost to sell a book at different prices, 164 00:16:51,360 --> 00:16:55,000 with different discounts. And that can be generated by artificial intelligence, because it 165 00:16:55,039 --> 00:17:02,919 has the ability to program numbers text numbers that allow the university editor, if 166 00:17:03,000 --> 00:17:07,960 he knows it, to train very well how to make an editorial project profitable 167 00:17:07,960 --> 00:17:11,200 and take care of the economic values of his production. So, I think 168 00:17:11,240 --> 00:17:18,279 there' s a very big challenge. They are the artificial intelligences definitely a 169 00:17:18,359 --> 00:17:22,519 tool to be able to find the reader again, because I think we have 170 00:17:22,599 --> 00:17:26,359 lost it a little bit and that is a relationship that is sometimes not cultivated 171 00:17:26,400 --> 00:17:30,920 very well in the university edition. So I think artificial intelligence can help the 172 00:17:30,000 --> 00:17:38,279 university editor to re- emerge that relationship with her readers, make them more 173 00:17:38,400 --> 00:17:45,279 dynamic, more direct, if you want, because we will be able to 174 00:17:45,279 --> 00:17:49,359 find information from many readers who are interested in certain contents and we can already 175 00:17:49,440 --> 00:17:55,599 say ok with these contents, with these interests, I can orient my editorial 176 00:17:55,640 --> 00:18:00,960 catalogue towards there. Not then is it a great opportunity, as we have 177 00:18:02,000 --> 00:18:08,680 been holding the perfect principle Miguel and taking advantage that you are here in the 178 00:18:08,960 --> 00:18:15,680 radio rosary microphones tell us about the event opportunities of artificial intelligence in the production 179 00:18:17,000 --> 00:18:21,200 of knowledge and dissemination that will be held within the framework of the Book fair 180 00:18:21,200 --> 00:18:25,839 in Bogotá two thousand twenty- four, in which also a radio rosary will 181 00:18:25,839 --> 00:18:30,799 make presence, where the main opportunities and challenges of artificial intelligences in the academic 182 00:18:30,799 --> 00:18:34,519 ecosystem will be analyzed. What are the main expectations you have in front of 183 00:18:36,279 --> 00:18:41,400 the Good event. Yes, Specifically, the event is called the University Edition 184 00:18:41,440 --> 00:18:47,240 Forum. It is an event that has been organized for many years by the 185 00:18:47,240 --> 00:18:55,480 Association of University Publishers of Colombia ACEUC and that is this year the version is 186 00:18:55,880 --> 00:19:02,559 precisely called academic intelligences and artificial intelligences. We will have guests from Spain, 187 00:19:02,960 --> 00:19:10,160 Brazil, Colombia, Peru. Many editors from the mainland region will come in 188 00:19:10,359 --> 00:19:15,440 Mexico, Chile, Peru itself, Venezuela Good in Spain, or there will 189 00:19:15,480 --> 00:19:18,039 also be many editors who will share with us in two days, that is, 190 00:19:18,319 --> 00:19:23,920 18 April and 19 April, in the afternoon days. They will share 191 00:19:23,920 --> 00:19:30,000 with us new experiences and the most recent topics being discussed about artificial intelligence in 192 00:19:30,000 --> 00:19:37,039 the academic world. So let' s say that the great expectation is first, 193 00:19:37,119 --> 00:19:42,599 because, starting from the main conference, give as claritys and form different 194 00:19:42,640 --> 00:19:48,440 actors, not only university or librarian editors, or all those who are related 195 00:19:48,480 --> 00:19:53,319 to the scientific publication scenario, but in the amplitude. We want the professors 196 00:19:55,079 --> 00:19:57,759 of the universities, of the professors of the schools to go to that event 197 00:19:57,799 --> 00:20:03,720 and find out that what is happening in their field from artificial intelligences, which 198 00:20:03,759 --> 00:20:06,400 is what is changing, which is what is mutating, and where this horizon 199 00:20:06,480 --> 00:20:14,119 is going. So, that is a very general, very large conference that 200 00:20:14,119 --> 00:20:18,279 aims to be more informative, formative, critical about the challenges and opportunities and 201 00:20:18,359 --> 00:20:26,319 tools of artificial intelligence in the scientific and pedagogical world. And now, we 202 00:20:26,680 --> 00:20:32,960 will also have tables that talk about the social, environmental and ethical impacts of 203 00:20:33,000 --> 00:20:40,880 artificial intelligence in the academic world. Also on the same 18th of April we 204 00:20:40,920 --> 00:20:45,599 will have a table that will talk about inclusive editing and accessibility in publications, 205 00:20:45,799 --> 00:20:52,640 that is, how to think about editorial products or contents that are friendly and 206 00:20:52,720 --> 00:20:57,680 respectful to communities with difficulties or disabilities, both visual, auditory and other types. 207 00:21:00,000 --> 00:21:04,640 Then and how these products that are generated can also be supported or backed 208 00:21:04,640 --> 00:21:08,759 by artificial intelligence. I mean, I think that those excluded communities too, 209 00:21:08,839 --> 00:21:12,960 those communities that we don' t pay much attention to, have a very, 210 00:21:14,039 --> 00:21:17,480 very big opportunity with artificial intelligences today. If the human being cannot help 211 00:21:17,519 --> 00:21:22,920 him in his past, it will be that artificial intelligence can help people with 212 00:21:22,920 --> 00:21:29,279 disabilities. It is a question that left how formulated and that I think the 213 00:21:29,359 --> 00:21:36,000 Bureau will discuss and already on the second day we will count on José Fernando 214 00:21:36,000 --> 00:21:38,200 Tabares. It comes from Brazil, the guest country of the film this year, 215 00:21:40,640 --> 00:21:44,519 that publisher that distributor of editorial content, and he will give us a 216 00:21:44,640 --> 00:21:49,640 practical workshop talk on the use of artificial intelligence in publishing production and the academic 217 00:21:49,720 --> 00:21:55,079 publishing market. So it' s going to be very cool, because we 218 00:21:55,079 --> 00:21:59,960 ' re going to see army, we' re going to do exercises, 219 00:22:00,799 --> 00:22:03,839 we' re going to know the application of the main tools, how to 220 00:22:04,200 --> 00:22:06,680 sell, how to produce, how to facilitate the editorial workflow, how to 221 00:22:06,680 --> 00:22:10,119 do editorial marketing. So, that' s going to be very rich, 222 00:22:10,559 --> 00:22:12,279 because there we' re going to be trained beyond the theoretical. We' 223 00:22:12,400 --> 00:22:18,119 re going to put into practice the use of artificial intelligence. And now to 224 00:22:18,200 --> 00:22:22,160 close, we will have a table on cultural economy and artificial intelligence, that 225 00:22:22,200 --> 00:22:26,319 is, how the arts, creativity, the scientific world is turned to think 226 00:22:26,480 --> 00:22:34,039 critically about the use of artificial intelligences and how art also rents itself. Think 227 00:22:34,079 --> 00:22:40,440 of business models for the future based on artificial intelligence. So, that' 228 00:22:40,440 --> 00:22:44,920 s going to be very, very chevere, because we' re also going 229 00:22:44,960 --> 00:22:47,680 to have people who are experts in marketing what they' re going to tell 230 00:22:47,680 --> 00:22:51,200 us. Well, these are tools, these are the risks, these are 231 00:22:51,240 --> 00:22:59,759 the requirements to be able to think about profitable cultural projects that are thought of 232 00:22:59,759 --> 00:23:04,000 based on new audiences and that are from audiences that are also using artificial intelligence. 233 00:23:04,160 --> 00:23:10,880 So, that makes it very rich, because that reframes the scenario that 234 00:23:10,960 --> 00:23:14,559 we think we' re starting from a point to a point B and I 235 00:23:14,640 --> 00:23:18,160 don' t think there' s an interdependencies between different points. Some things 236 00:23:18,160 --> 00:23:21,079 we give them, some other things we receive. And I think artificial intelligence 237 00:23:21,119 --> 00:23:27,400 is changing those relationships. And finally, the event closes with a ceremony giving 238 00:23:27,400 --> 00:23:34,200 the award to the university edition a lifetime that this year the winner is Dr 239 00:23:36,000 --> 00:23:41,359 Estela Valbuena García. She was editor of the Catholic University of Colombia and was 240 00:23:41,440 --> 00:23:48,039 treasurer for many years. She took part as the Board of Directors of ACEUC 241 00:23:48,039 --> 00:23:52,559 and she, therefore, had a very important role in the association so that 242 00:23:52,640 --> 00:24:00,480 the university publishing association would grow and, above all, keep as the accounts 243 00:24:00,599 --> 00:24:04,720 the fine ones of an association that we know that in Colombia associations are difficult 244 00:24:04,759 --> 00:24:10,759 to maintain, They do not become extinct very quickly, but thanks to women 245 00:24:10,880 --> 00:24:17,680 like her and talents like her, because today the association lives and continues to 246 00:24:17,680 --> 00:24:22,720 give many things for society, like this event that we invite them to participate 247 00:24:22,799 --> 00:24:23,799 eighteen and nineteen April from two to six and a half in the afternoon. 248 00:24:25,640 --> 00:24:29,319 And well, everyone is invited, because I think it is in everyone' 249 00:24:29,720 --> 00:24:36,640 s interest to discuss in a critical, argumentative or knowledge of cause, but 250 00:24:36,680 --> 00:24:41,039 also in a proactive way, the applications of artificial intelligence in the academic world. 251 00:24:41,839 --> 00:24:44,920 That' s right, Miguel, as you well said, it' 252 00:24:45,319 --> 00:24:51,720 s a topic that matters to all of us then, as a last question, 253 00:24:52,240 --> 00:24:56,079 where we can find information in general terms, where the event itself is 254 00:24:56,079 --> 00:25:00,039 going to be that has set aside a pavilion of corperias. Yes, the 255 00:25:00,359 --> 00:25:04,400 event is going to take place in the great B Hall of corpheries. That 256 00:25:04,440 --> 00:25:11,319 is a sector, a corner of corferias and there are, therefore, several 257 00:25:11,319 --> 00:25:14,519 halls. Ours is going to be the B in the afternoon hours of the 258 00:25:14,599 --> 00:25:18,799 18th and 19th of April, and all the information, all the complete programming, 259 00:25:18,960 --> 00:25:22,839 can be found on the page of the film two thousand twenty- four 260 00:25:22,839 --> 00:25:29,400 and there in the tab that says professional days. There they are going to 261 00:25:29,480 --> 00:25:33,839 find Forum of University Edition, academic intelligences and artificial intelligences. And there, 262 00:25:33,880 --> 00:25:40,240 then, you can also purchase your tickets to enter the forum and we also 263 00:25:40,279 --> 00:25:44,880 invite you to follow the social networks of ACEUC both on Instagram, Facebook, 264 00:25:45,400 --> 00:25:48,920 on Linkedin. There' s a lot of information. Every day we' 265 00:25:48,000 --> 00:25:55,839 re publishing information and well, I really think the event is unmissable. It 266 00:25:55,880 --> 00:26:00,440 is a very good offer accessible for all axis, for all. Really very 267 00:26:00,480 --> 00:26:08,720 guests and there we expect them perfect. Thanks to all the listeners of Podcast 268 00:26:08,920 --> 00:26:15,960 Uere. We were talking with Miguel Pineda about all these issues related to artificial 269 00:26:15,000 --> 00:26:19,279 intelligence that, as our guest said well, is a topic that we all 270 00:26:19,720 --> 00:26:26,599 need to know and that we all need to know the specific characteristics of this 271 00:26:26,599 --> 00:26:34,839 tool. Thank you all for tuning in and we' ll be with more 272 00:26:30,079 --> 00:26:34,839 until soon.