N1HRV — broadcast
20260926 093000 UTC
518 transcript segments
Google Cloud Speech-to-Text API (Chirp) + Gemini 2.5 Flash Non-Thinking
Data courtesy of The GDELT Project (https://www.gdeltproject.org/), from the Internet Archive TV News Archive.
Machine transcription. Treat it as a searchable index of what was broadcast, not a verbatim quotation record.

[00:00:02] Welcome once again to the show, a special N1 Television show
[00:00:06] in which we deal with artificial intelligence, AI, opportunity or
[00:00:09] threat. We talked about how artificial intelligence
[00:00:12] is used in Croatia, what the attitudes are,
[00:00:16] is there apprehension, is it optimism or pessimism, and now
[00:00:19] it's time to, of course, ask our guests in the studio, first of all Professor Kopal,
[00:00:23] who is willing to pay for some perhaps slightly
[00:00:27] better, more advanced artificial intelligence models.
[00:00:31] or not, that's an excellent question, especially in the context
[00:00:34] of a possible AI bubble and AI overhype that we won't
[00:00:38] open now, because that would take us a serious amount of time, many
[00:00:41] more hours, but here's a concrete piece of data, uh, only
[00:00:45] 5%. Last year it was 4%, if I remember correctly, only
[00:00:49] 5% uh pays, we are talking about
[00:00:52] advanced uh benefits, is that right,
[00:00:55] made features, so to speak, 58% are not
[00:00:59] interested. And actually the willingness to pay
[00:01:02] is growing, the disinterest is growing,
[00:01:05] it's an interesting study on 3,500 American consumers
[00:01:09] who say that 40% of users
[00:01:12] of generative AI pay for the e-tool, 40 compared
[00:01:16] to five, but those who don't pay, the reason is interesting,
[00:01:19] 50% of them say we don't pay because the free tools
[00:01:23] that's one reason, another is we don't
[00:01:26] use it often, that's 20% and 17 cite the price. In other
[00:01:30] words, the barrier to payment is not necessarily
[00:01:33] the price. Um, now the question is,
[00:01:36] of course, okay, willingness
[00:01:39] to pay on one side, but uh, we can
[00:01:42] already quite precisely determine in which direction
[00:01:45] the thing is going, what is AI actually predominantly used for, what is it used
[00:01:49] for? Yes, the answer to the question what AI is used for, here it clearly
[00:01:52] shows, so, uh, in
[00:01:55] the first place, information gathering, that is actually in line with...
[00:02:00] difficult for me to expose, then I will perhaps uh world trends, so to
[00:02:03] speak, mm, in third place are medical advice,
[00:02:07] which we should talk more about later,
[00:02:10] however, uh it's interesting
[00:02:13] to combine reasons one and two and that is information gathering and
[00:02:16] text generation which in
[00:02:19] 2023/24 were not so well
[00:02:22] positioned, in fact that will be interesting to Professor Galić, in third place was
[00:02:26] identity, a little chat with AI, that was in third then in... second then
[00:02:30] it worried us, my dear God, it won't happen that it will be in the first place, because
[00:02:33] unfortunately in 2015 in the world in the first place was
[00:02:37] therapy and companionship, in the first place, in the second to organize my
[00:02:41] life, in the third find me the meaning of life, these were the reasons
[00:02:45] for using the tool in 2015, why
[00:02:48] do I link reasons one and two, because Orwell nicely said, if people cannot
[00:02:52] write well, they cannot think well, and if they cannot think well,
[00:02:55] others will think for them, what I
[00:02:59] hope is that... this is too early for conclusions, but
[00:03:02] it is indicative that this is actually not a trend that now I don't even
[00:03:06] think, but find me information, then translate
[00:03:09] it and I hit enter, I found it, translated it and press
[00:03:13] print, I hope that's not the case, what's interesting is
[00:03:17] in the US and it's a global trend, but in the US
[00:03:20] 42% of adults use chatbots for information, around
[00:03:24] 20 for medical advice, and what we also noticed,
[00:03:27] or rather what you noticed is that mm... it is still in a way
[00:03:31] uh ChatGPT or Gemini or whatever
[00:03:34] tool is used uh a serious
[00:03:37] "thing" in quotes, it is not used so much for entertainment,
[00:03:41] that's right, before that I will just mention one more slide, one piece of data that didn't fit here,
[00:03:45] it's very important, for all of us, 27% of people
[00:03:48] seek advice for mental health, which
[00:03:51] is a special story, uh, so this
[00:03:55] question of yours, absolutely, more information, trends are seen,
[00:03:58] it gathers. new information
[00:04:01] is growing, that's there at 83,
[00:04:05] and it's interesting, the Ipsos survey 26,
[00:04:08] 74% of users in 21 countries
[00:04:12] use it to learn something new, that's good, we are now
[00:04:15] talking about learning, we are not talking, that means if they really
[00:04:18] apply, for example, critical thinking and study,
[00:04:22] question, but a quite serious survey
[00:04:25] says that the answer is to learn, to learn something new
[00:04:29] to understand. or a complex topic, we won't open this topic now, but if
[00:04:32] someone uses, I repeat, for
[00:04:35] gathering information and translating, uh,
[00:04:38] a legitimate hypothesis is posed, "knowledge collapse", AI is a "slope"
[00:04:42] of the internet, that means we have over
[00:04:45] 50% of data on the internet that is synthetic, which means that models
[00:04:48] are becoming degeneratively collapsing, we have cognitive
[00:04:52] surrender, cognitive surrender where we actually rely on that, so these
[00:04:56] data are a double-edged sword, research will show, uh...
[00:05:00] Finally, let's go back to the fact that it's in third place
[00:05:03] uh when we talk about using AI in
[00:05:07] seeking medical advice, so chat or or
[00:05:11] or Gemini or... whatever model uh not
[00:05:14] to mention uh it becomes a doctor, a family doctor,
[00:05:18] with all the side effects of that, that
[00:05:22] means it's growing tremendously from 44 to
[00:05:24] 67%. Uh, I pulled out some
[00:05:28] global data again, first US, then global, so there are eight
[00:05:32] reasons that Pure Research investigated why someone would use
[00:05:35] medical advice, from type of diagnosis, advice, what can happen to me
[00:05:38] and so on, 34% of Americans use it for at least one of these reasons,
[00:05:42] and
[00:05:45] let's leave those reasons aside, now look at this, when asked to those
[00:05:48] people, okay, did that medical advice help you,
[00:05:51] 47% of them say, it helped me a lot, another
[00:05:54] 48% somewhat, only 5% not at all, so not
[00:05:58] only do they seek medical advice, but they are actually now convinced of
[00:06:02] its usefulness, that now, God forbid it happens,
[00:06:06] but that people will become AI doctors and self-proclaimed
[00:06:09] ones, so it's like, well, there's...
[00:06:12] we had everything in the COVID pandemic and "listen to
[00:06:16] science" became anything but "listen to science" and "listen to experts" and
[00:06:19] a great deal of skepticism appeared, which is
[00:06:22] perhaps uh an excellent question for
[00:06:26] you, of course, uh I mean, how to
[00:06:29] explain that it's growing, we all know, I mean, anecdotally
[00:06:33] that it's growing, we've seen it, it's not just a question of strict
[00:06:37] medicine, but advice for healthy living, whether to exercise
[00:06:40] like this or lift so many weights. How many sets and so on, right?
[00:06:44] I mean, why are people so prone to so easily
[00:06:46] believe ones and zeros, actually?
[00:06:50] First, because they don't know that they are ones or zeros, one of the
[00:06:53] phenomena that should be touched upon in these studies at some point, people
[00:06:57] are prone to anthropomorphization, meaning they give human characteristics to chatbots,
[00:07:01] this is actually a bit a bit more ambitious
[00:07:04] word completer, uh, it's
[00:07:08] perfectly clear to me from a psychological perspective.
[00:07:12] So, we use what solves a need
[00:07:15] for us, what benefits us, and
[00:07:18] the healthcare system, the phenomenon again is not new, my colleagues
[00:07:21] from the department of clinical psychology, from my
[00:07:24] department, have long dealt with Doctor Google, ever since the internet became
[00:07:28] widespread, it appeared there, you could look at it according to searches,
[00:07:31] why like that, it would be interesting for me to look at it comparatively,
[00:07:35] for example, I've been dealing for a long time with what worries people in Croatia and we've followed people,
[00:07:39] in Croatia three things worry them, inflation, corruption, availability
[00:07:43] of the healthcare system,
[00:07:45] uh, it would worry me, for example, if this
[00:07:49] serves as compensation
[00:07:51] for an unavailable healthcare system, then that's
[00:07:55] a problem, but on the other hand, we must expect that
[00:07:58] people, so they will use it for what gives them something they need,
[00:08:02] what they perceive as useful, if I cook, it's recipes, if I have
[00:08:05] a health problem, it's, it's this, it's
[00:08:09] healthy, health advice, especially...
[00:08:12] in situations where I don't have an available, available source that is
[00:08:15] credible again, available and easy,
[00:08:19] easy to access, maybe I have a general practitioner, but I can't
[00:08:22] reach him on the phone, it's always these three things, availability,
[00:08:26] ease and usefulness, that's where it all comes together, and people have,
[00:08:30] we all have a strong need, because what happens to us, when we have a health
[00:08:34] issue, we want to reduce anxiety, anxiety
[00:08:38] that appears, and we want to see, unfortunately
[00:08:41] it often results
[00:08:44] in the opposite, it increases, but I say let's go, people
[00:08:46] work to satisfy some of their needs,
[00:08:49] it's perfectly clear to me, what worries me, two things worry me,
[00:08:53] first, is it motivated by the unavailability
[00:08:57] of the system in our country, and second, are people equipped,
[00:09:00] equipped with enough criticality to judge it, I think from what I know about
[00:09:04] psychology, from my 25 years of dealing with it,
[00:09:07] they are not, now uh it's a special
[00:09:11] question that we will deal with now... a little bit, are they equipped to properly
[00:09:15] assess whether chat, or or or or
[00:09:18] again, I keep coming back to it because it has become a common place,
[00:09:21] uh to be uh a consultant or someone who
[00:09:25] makes decisions for them in business, in the business world,
[00:09:28] uh is uh perception or someone who will
[00:09:32] take their job, is it uh is
[00:09:35] AI from that perspective, not only of work but also of this
[00:09:39] related to health and medicine and interpersonal relationships?
[00:09:42] Threat or opportunity from the perspective of your
[00:09:45] respondents? Uh, my opinion is that it is definitely both
[00:09:49] a threat and an opportunity, definitely, uh, it's interesting
[00:09:52] that the respondents' answer is exactly along those lines, that
[00:09:56] they equally consider it a threat or
[00:09:58] an opportunity, however, mostly good for society
[00:10:02] 25, mostly bad 18, so there's a difference
[00:10:05] in perception, the question was whether in the long term
[00:10:09] how do you see artificial intelligence, for example in
[00:10:11] the US. In the next 20 years, 40% of adults believe that there will
[00:10:15] be a negative impact, and 16% positive. What
[00:10:19] I will just add is the next very important question, on the previous slide,
[00:10:22] 20% were... used for,
[00:10:26] let's say, mental health advice, that rose to 27%,
[00:10:30] here we can talk about availability, unavailability, however, unfortunately and
[00:10:33] sensitivity of the topic, we haven't quite, so, the sensitivity of the topic drives it, as something that is
[00:10:37] rather share it with someone who
[00:10:41] is impersonal, who is completely abstract and this this
[00:10:44] indicator again shows that we are a bit out of phase, because when we look at some other
[00:10:48] countries, actually concern, worry is growing and uh
[00:10:52] let's say positivity is falling. "Here it
[00:10:55] was last year, so we'll see what happens next year,
[00:10:59] still some optimism, or the number
[00:11:02] of optimists is slowly growing, that's
[00:11:04] right, more and more citizens
[00:11:07] expect a positive impact, definitely, and again
[00:11:11] now when we look at this curve, we must still put it in
[00:11:14] context with other countries, that's in 37 countries, now we're talking about
[00:11:18] the median, 37% are those who are more worried than excited,
[00:11:22] than thrilled, so more 40..." 1%
[00:11:25] equally, a very, very small number are primarily excited, or thrilled,
[00:11:29] in other words, it is significantly different from these results,
[00:11:32] one thing that we won't open now in richer countries
[00:11:36] concern is greater, so in so-called high
[00:11:40] income countries 40% versus
[00:11:42] 31% middle and one more result from a few years ago, very
[00:11:46] interesting, in countries that are let's say leaders
[00:11:49] in AI, concern is greater
[00:11:52] and actually concern is growing. than in
[00:11:55] countries that are developing countries where it is implemented,
[00:11:59] which again has some psychological reasons that
[00:12:03] the professor will explain before me, that maybe now it's not bad that
[00:12:06] we lean on that and dedicate
[00:12:08] a little more to the way AI is viewed
[00:12:12] through certain prisms of human activities, first
[00:12:16] of all, for example, we just mentioned that some people use
[00:12:19] it, they used it before for, well, almost for
[00:12:22] psychotherapy,
[00:12:25] they consult it, which means they don't have contact with real people,
[00:12:28] just like with a doctor they don't know, they don't need
[00:12:32] their, we mostly see what is expected to bring to interpersonal
[00:12:36] relationships, that uh, unfortunately, according to the data
[00:12:39] we have, nothing good, the biggest negative impact is
[00:12:42] expected on privacy and interpersonal relationships,
[00:12:46] uh, in say Pure Research US, 50%
[00:12:49] expect AI to worsen people's ability to
[00:12:53] form meaningful relationships. And University of Melbourne and
[00:12:56] KPMG 83%,
[00:12:59] 83% express moderate to very high concern about the loss
[00:13:03] of human interaction and connection, I'm talking about
[00:13:06] interpersonal relationships, MIT's research,
[00:13:09] greater use of chatbots is significantly statistically associated with
[00:13:13] loneliness, emotional dependence,
[00:13:16] less socialization, meaning uh,
[00:13:19] however, it would be really wrong of us as
[00:13:22] scientists to say binary, whether it's... bad or good
[00:13:26] and it's only bad or good, the real question is, studies show
[00:13:29] that AI can really help a lonely person in some
[00:13:33] situations, at the same time it can make society
[00:13:36] lonelier, we must actually be careful that both
[00:13:40] are somehow sensitized, another thing,
[00:13:43] privacy is important here, briefly uh
[00:13:46] 82% of people, so privacy is a big concern here, I will give you
[00:13:50] a global survey, 82% of people are concerned about
[00:13:53] the possible loss of privacy. And now Cisco's research says
[00:13:57] this: 84% of people worry about their
[00:14:00] data becoming public, if they enter it into ChatGPT,
[00:14:02] 84%.
[00:14:05] 30% of those people who are terribly worried,
[00:14:08] enter financial, health, personal and
[00:14:11] confidential data without problems. Yes, uh, two more dimensions that
[00:14:15] we have already mentioned in a way in the conversation, uh,
[00:14:19] one is healthcare, the other is education, you yourselves said and
[00:14:23] both of you are university professors. You
[00:14:25] have probably already seen what is happening with the use of AI in
[00:14:28] higher education?
[00:14:32] Absolutely, first let me tell you about healthcare, i.e.
[00:14:35] medicine, the general global perception, let's
[00:14:39] say, 44% positive, 19% negative,
[00:14:43] meaning positive for the impact of AI on medical care,
[00:14:46] Ipsos research is 36% of them expect
[00:14:50] positive, only 12% worse, by the way,
[00:14:53] uh WHO has already published data that 74% of EU countries
[00:14:57] already use AI assisted diagnostics, and
[00:15:00] the last thing about medicine is the following: some papers
[00:15:03] show, some papers show
[00:15:06] that uh it definitely helps doctors and
[00:15:10] they achieve better results, some other studies have been done
[00:15:14] so it's quite ambivalent, we have completely opposite papers
[00:15:17] that show that it actually didn't improve, so research is ahead
[00:15:21] of us, regarding uh education,
[00:15:24] the latest... PISA study shows that those who
[00:15:27] use AI on average have about 20 points
[00:15:30] less, for example in science, so
[00:15:33] it's still difficult and too early to conclude.
[00:15:37] about some serious correlations, but another study
[00:15:40] showed that when they use ChatGPT, they achieve
[00:15:44] better results during the use of ChatGPT, especially
[00:15:47] the so-called tutor, when you take that away and give them a test, then it
[00:15:51] drops, meaning what we need is not to remove AI from
[00:15:54] education at all, but we definitely need to devise a new
[00:15:58] paradigm of augmented intelligence, a new paradigm
[00:16:02] of education,
[00:16:04] uh, when we talk about that, Professor Galić, one question...
[00:16:08] um, can we already know that we are accurately measuring these
[00:16:12] changes that are happening in the psyche, in mental
[00:16:15] capacities, cognitive abilities of young people
[00:16:18] who grew up on AI, or will we in, I don't know, 10, 20,
[00:16:22] 30 years, as we realized with intelligence tests, that they had
[00:16:26] cultural, cultural, is it this bias,
[00:16:29] uh, that perhaps the tool was not the best for measuring, or can we
[00:16:33] already say with certainty, we have enough data that
[00:16:37] moral. panic may not be entirely unjustified, mm, we don't have
[00:16:40] enough data, but we can measure, so in psychology, if we know something well,
[00:16:44] we know how to measure it well, but people who know how to do it must
[00:16:48] do it, there is a parallel that I am drawing now and which I think is terribly important, it is
[00:16:52] a parallel in the parallel effect of social networks
[00:16:55] on the mental health of young people and
[00:16:58] children, that is, for example, an area in which for a long time
[00:17:01] a battle was fought to show
[00:17:04] that uh the effects are significant. That we had a
[00:17:08] completely unregulated area that has huge negative
[00:17:11] effects on the health of children and young people. Jonathan Haidt published
[00:17:15] the book "Anxious Generation" and started a very big battle that is now only
[00:17:19] reaching us again. This is a new technology and
[00:17:22] it, I'm afraid this time, not only are young people certainly
[00:17:26] unprepared for it, I'm afraid we all enter it unprepared,
[00:17:29] I can't say we don't have ready data, it develops too quickly, what
[00:17:33] we know, we have to do these studies, this study, Roberta,
[00:17:36] is not perfect, none is, but we have to do them and
[00:17:39] comment on them so that we can, so that we can know something
[00:17:43] about it so that we can follow and discuss, but we must be, as I want to say, so every
[00:17:47] study, we don't have, we don't have data, the only way to discuss
[00:17:51] argumentatively is to have some data, the more we have,
[00:17:54] the smarter we will be, we will know how to measure, so there is no doubt
[00:17:58] this at some point, let's then just for the end
[00:18:02] touch upon one more important segment
[00:18:05] of the story, or what is perhaps... just the tip of the iceberg, that is,
[00:18:09] "AI is stealing our jobs, AI will
[00:18:12] make us all completely
[00:18:14] unnecessary, destroy the labor market,
[00:18:18] destroy entire professions" and so on and so on, is that the sentiment that prevails
[00:18:22] among the respondents? Uh, so the data shows that
[00:18:25] 47% of them expect the disappearance
[00:18:28] of many jobs, that data is more pessimistic than
[00:18:32] optimistic that more jobs will be created, only 10,
[00:18:36] so that's a huge difference. And when you look at it over
[00:18:39] the years, which is not shown here, I'll just show, so
[00:18:43] over the years we don't have much difference, it's more or less a steady curve, it's growing
[00:18:47] plus or minus, uh, there is a paradox that I will now connect with
[00:18:50] that at the company level, yesterday we showed data that
[00:18:54] 46% of companies, very close to the figure
[00:18:57] of 47, this one, expect job losses,
[00:19:01] 46%.
[00:19:04] When asked if jobs will disappear in their organization,
[00:19:08] 71% say not
[00:19:11] in ours, so in someone else's organization, yes,
[00:19:14] but in mine, but whose will disappear then, and now it was interesting to make
[00:19:18] a comparison, a in-depth study that my colleague Galejić
[00:19:21] and I can certainly do together with colleague Žnidar, to dive into the data
[00:19:25] and pull out some really interesting correlations, today,
[00:19:28] tomorrow, perhaps even causalities, uh, also what we know
[00:19:32] and often talk about both about future
[00:19:35] skills, so the WEF has stated, so
[00:19:38] 40% of skills will be obsolete, what we now
[00:19:41] really have to think about are those skills and
[00:19:44] yesterday's research showed, it
[00:19:47] definitely shows all global data, the most sought-after skills in
[00:19:51] Croatia among employers, and 59% meaning it's growing
[00:19:54] rapidly, creative and critical thinking, analytical thinking
[00:19:58] are, everything else is twice lower, these two skills are
[00:20:02] future skills, however on the other hand,
[00:20:05] perhaps the answer is somewhat... this data that all this will happen
[00:20:09] to others, but also to us, uh, it's interesting to look at
[00:20:13] the data that there are still some useful
[00:20:17] uh, concrete, tangible benefits
[00:20:20] of AI that outweigh the risks, for people who do
[00:20:24] something, right, professionals, absolutely, absolutely, this year a
[00:20:28] turning point happened, as can be seen, last year risks
[00:20:31] versus benefits were stronger, let's say, by 10
[00:20:35] percentage points, here a reversal occurred,
[00:20:38] meaning more benefits, as you can see, meaning
[00:20:42] they slightly outweigh, however most people are still in the middle of the scale, about
[00:20:45] 44%, meaning they still haven't
[00:20:48] decided, so to speak, it's still being considered,
[00:20:52] thought about, global research shows, for example, I'll just take
[00:20:55] the US now, concern is growing - and the
[00:20:58] question was uh whether there is more worry
[00:21:00] or benefit, right, or
[00:21:04] excited, it is definitely more concern, they are more
[00:21:08] worried, employers the ratio of benefits and
[00:21:10] risks, more benefits, although benefits
[00:21:13] are falling, interestingly, among employers, benefits are falling,
[00:21:17] but not at the expense of risks, risk is rather... at the expense of
[00:21:20] the middle ground and more and more of them from the undoubted
[00:21:24] risk of hype, that's what they are saying it was what I said,
[00:21:28] the business community has already gained some experience and that's why they are
[00:21:31] already more realistic, that is in line with what, that's right, that's right, that's right, especially
[00:21:35] since these global studies, MIT published an excellent study, Nando di
[00:21:39] only 5% of employers manage to achieve ROI in terms of
[00:21:43] scaling correctly to get some result, so this is called
[00:21:46] digital divide or AI divide, actually 95%.
[00:21:50] zero, mm, let's go back to this
[00:21:54] data which perhaps even caused
[00:21:57] a bit of a, I won't say a smirk,
[00:21:59] but certainly caused a reaction, mm,
[00:22:03] and that is that, so at the same time the fear of
[00:22:06] job loss that will happen to everyone, just not to me,
[00:22:10] now how successfully we lie to ourselves, because we obviously lie to ourselves if we are
[00:22:14] willing to see, so that the worst possible things will happen everywhere, but not in my
[00:22:17] backyard, no, we have a psychological
[00:22:20] phenomenon, we have a real social phenomenon, the real social phenomenon is the following, what I see
[00:22:24] from the data, so artificial intelligence will
[00:22:27] in the coming period be able to automate 30 to
[00:22:30] 70% of work tasks, not jobs, many new work
[00:22:34] tasks will be created, what I see now from American data is that what is happening,
[00:22:38] so not as much firing as expected,
[00:22:41] but no new hiring is happening, so there is
[00:22:44] a super called canaries in the coal mine,
[00:22:48] which shows what will happen. Somewhere around 13% of
[00:22:52] new job ads are less than before, so no
[00:22:55] new workers are being hired, we will probably
[00:22:59] touch upon that in the next show, on the other hand we have this psychological phenomenon, so
[00:23:02] yes, now let me go back and state, so I think
[00:23:06] if it has an impact on business, the first
[00:23:10] impact on business in terms of jobs will be not hiring
[00:23:14] new people, not firing existing ones for
[00:23:17] now, but that is also a loss of work. for someone who
[00:23:20] was supposed to enter the labor market, and I think that is the most critical part and this impact
[00:23:24] of artificial intelligence on the labor market, of course there is this psychological phenomenon, people who perceive
[00:23:28] it, have cognitive defenses, they don't want to see
[00:23:31] that we always overestimate our own usefulness,
[00:23:35] our own expertise, we don't see it completely, that data is
[00:23:38] a combination of these two things, how to find
[00:23:41] a good balance, how to calibrate
[00:23:44] trust, we just said, the business community has
[00:23:48] already crossed over. because they have accumulated some experience,
[00:23:52] and how as an individual to find a good
[00:23:55] balance, a good balance between skepticism
[00:23:58] and and blind, I won't say blind, but let's say trust,
[00:24:02] so I am not an expert in artificial intelligence, I am in human behavior, what I see now
[00:24:06] generally, uh, artificial intelligence as a whole at a global
[00:24:10] level is at a crossroads, it will perhaps go one way, perhaps another,
[00:24:14] one way is the one that advocates owners and those
[00:24:17] tech billionaires, which is... a path
[00:24:20] that is not very good for most people except for them, and there is
[00:24:24] another path that can be taken, that is the path to
[00:24:28] extract maximum benefit for all citizens in society, uh,
[00:24:32] people will be uh calm
[00:24:34] depending on how much they trust institutions, so we, I think we have
[00:24:37] now a problem of global mistrust in institutions and we have
[00:24:41] a problem of local mistrust in institutions, what can we
[00:24:44] do, so we must state what the reality is, meaning the reality is that
[00:24:48] artificial intelligence is here. that we must, the English
[00:24:52] word is embraced, we must accept it, we must use it and we must position ourselves in the
[00:24:56] labor market in accordance with it. It seems to me that we in the
[00:24:59] education system do not yet see this quickly enough, with some honorable
[00:25:02] exceptions, we are changing too slowly, I don't know, for example, I told
[00:25:06] my colleagues that it's quite wrong for me to ban
[00:25:10] AI, instead I told them, you may use AI, not just may, but you should
[00:25:14] use AI, but that completely changed my testing system in the way I
[00:25:17] work, I teach, which was ... completely
[00:25:20] different, it seems to me that like
[00:25:23] with artificial artificial intelligence is not
[00:25:27] a new story in its structure, it is, it is
[00:25:30] a technological revolution of the kind that we are used to, we can
[00:25:33] inherit some information from before, for example, uh,
[00:25:37] the first industrial revolution started in the 18th century,
[00:25:40] benefits to people, global benefits came in the mid-19th
[00:25:44] century, this period between the beginning and the
[00:25:47] benefits was very turbulent, it was for... yes, and so
[00:25:51] now the thing is about the social contract, what
[00:25:54] I, therefore, I must
[00:25:58] appeal to all stakeholders in the system to engage a little
[00:26:01] with these topics. And secondly, you, but secondly, we as individuals
[00:26:05] must be more agile, although it always
[00:26:08] annoys me when all social problems are attributed to the individual and
[00:26:12] their attitude, so I can change
[00:26:15] little, the system must change, we can separate waste all we
[00:26:19] want, but we won't really solve it if we individually, but
[00:26:22] professor, you still have two quick things,
[00:26:25] data from yesterday, 75% of companies in Croatia believe
[00:26:29] that the education system is not adequate.
[00:26:32] considering the competencies that are needed in the AI age.
[00:26:36] 75%, so something in the education system, something we need to change in
[00:26:40] the education system, what I would like to do again is to defend, now I have to defend
[00:26:44] the education system, what employers want is for us to
[00:26:47] deliver people who are plug-and-play, that will never
[00:26:50] happen, neither after nor before artificial intelligence, what we must be
[00:26:53] is more agile, so we must, I hope that next time we will talk about
[00:26:57] acquiring fundamental knowledge is a prerequisite for
[00:27:00] effectively using artificial intelligence. Artificial
[00:27:03] intelligence will not make you an expert, you must, now
[00:27:07] I am speaking from the perspective of a psychologist who understands how knowledge and
[00:27:09] skills are acquired, artificial intelligence will not make you an expert, eventually
[00:27:13] in a simple task, what artificial intelligence does is it will
[00:27:16] increase the difference between an expert and a beginner in
[00:27:20] complex tasks,
[00:27:23] uh, it's actually interesting when we, we'll talk about that next time, we won't go
[00:27:27] into that area anymore, connect it, it has a bit of a different
[00:27:31] way to connect it, but for... finally I would like to say one important sentence,
[00:27:35] however, there is a critical difference between artificial intelligence and all
[00:27:38] , let's say, technological revolutions, that
[00:27:41] is that no revolution could
[00:27:44] create itself or improve itself,
[00:27:47] artificial intelligence has that ability, we
[00:27:51] absolutely must think about it, not even nuclear energy has the ability to create
[00:27:55] autonomous nuclear energy, we now see, Mustafa Suleyman said
[00:27:58] it well, when all four conditions are met, one of which is the one I am talking about.
[00:28:02] we have military-grade capability, a serious problem,
[00:28:06] it is already happening, meaning I am absolutely for
[00:28:09] artificial intelligence, but it is both an opportunity and a threat, both an opportunity and
[00:28:13] a threat, we will have something to talk about
[00:28:16] next time, in a week we will have a new set
[00:28:19] of data, a new set of comments, a new set of things to think about
[00:28:23] and discuss, gentlemen, thank you very much for being our guests,
[00:28:27] thank you very much, thank you for the
[00:28:28] invitation.
[00:28:46] This was the first part of the special N1 Television broadcast dedicated to
[00:28:50] research on the attitudes of citizens of the Republic of Croatia
[00:28:54] regarding the use of artificial intelligence, its knowledge,
[00:28:58] literacy and so on. In a week we will be back here, thank you for being
[00:29:02] with us. And continue watching N1 Television.
[00:30:02] for digestion without tension, yes two
[00:30:05] boxes, happy sea
[00:30:08] or, unfortunately, the Adriatic has one deep problem,
[00:30:12] waste, that's why Telemach comes to
[00:30:15] the rescue, with a 5G network and autonomous vessels,
[00:30:19] we clean the seabed and protect what is
[00:30:21] most valuable, together for a cleaner
[00:30:24] Adriatic, let's bring a smile back to the sea, with
[00:30:27] the Happy Sea initiative, and
[00:30:30] how do you see a happy sea? Draw for us and win valuable
[00:30:34] prizes. More at Telemach.HR.
[00:30:38] Unique AI education. It's coming back live. Discover
[00:30:42] all the secrets of artificial intelligence at a one-day intensive workshop.
[00:30:45] With little theory and 100% practice, learn to build AI
[00:30:49] agents designed for automation, scaling
[00:30:52] and boosting your business. The lecturers are the greatest experts in our region for business digitization,
[00:30:56] technological trends, Katarina Zubatović and Dragan Petrić.