i am alexander gasnikov, rector of enopolis university, ivan valerievich is our guest. a few years, schoolchildrenill completely stop thinking, all the work will be done for them, the corresponding generative models, and in fact the work will only come down to creating the correct request, what is called prompting, are there any such risks, how do you even do this? look at everything, well , firstly, i am absolutely sure of two theses: the first is that no artificial intelligence will ever, which i really hope, replace a school teacher. because school is a unique atmosphere, not just a formal transfer of knowledge, a mathematics teacher does not just teach solving equations, he conveys the spirit of science, teaches to think, and this is communication, pedagogy is the art of communication, on the other hand, i am also absolutely convinced, and we see together this is based on examples, communicating with colleagues, that artificial intelligence does not remove the need for humans to think, on the contrary. firstly, at one end of direct, direct knowledge, we have a huge number of interesting, highl

with this task with a bang. thank you mikhail, the head of the information security center of enopolis universityet's go back to the studio, andrey. straight to i have a question for you: is it possible to make some programs, for example, for smartphones, that will allow you to determine that it is a deepfake? in fact, now the community of researchers is actively engaged in this area, in fact, this area has been developing for quite a long time, about 2008-2009, these technologies are called forgery detection , in fact, and this area... is precisely related as a countermeasure to synthetic these fakes, forgeries, whatever it is, in fact, these algorithms allow you to extract special signs invisible to the human eye in the facial area, which characterize the presence of something unnatural in these areas, that is, the human eye can see a normal face, but if artificial intelligence is used as some. which looks at this picture a little differently, from its own mathematical angle, extracts special values ​​from the face area, then you can make a fairly high probability decision that it is a fake, an

thank you, mikhail, the head of the information center was with us security of the university of enopolisright away: is it possible to make some programs, for example, for smartphones, that will allow you to determine that it is a deepfake? in fact, now the community of researchers is actively engaged in this area, in fact, this area has been developing for quite a long time, about a year from 2008 2009 - a normal face will be able to see, but if you use artificial intelligence as some kind of prism that will look at this picture a little differently, from its own mathematical angle, will extract special values ​​from the face area, then you can make a fairly high probability decision that it is a fake, and such algorithms exist, many well-known teams in the world, in russia, are developing such models . in fact, this is one of the ways to increase trust or confidence in, how to increase trust in artificial intelligence, in this sense, and why? because we are all sitting on social networks now and reading the news we look at everything that is shown to us on video, in photographs, and of