Google Cloud Speech-to-Text API (Chirp) + Gemini 2.5 Flash Non-Thinking. Treat it as a searchable index of what was broadcast, not a quotation record.
00:00:02Welcome once again to the show, a special N1 Television show
00:00:06in which we deal with artificial intelligence, AI, opportunity or
00:00:09threat. We talked about how artificial intelligence
00:00:12is used in Croatia, what the attitudes are,
00:00:16is there apprehension, is it optimism or pessimism, and now
00:00:19it's time to, of course, ask our guests in the studio, first of all Professor Kopal,
00:00:23who is willing to pay for some perhaps slightly
00:00:27better, more advanced artificial intelligence models.
00:00:31or not, that's an excellent question, especially in the context
00:00:34of a possible AI bubble and AI overhype that we won't
00:00:38open now, because that would take us a serious amount of time, many
00:00:41more hours, but here's a concrete piece of data, uh, only
00:00:455%. Last year it was 4%, if I remember correctly, only
00:00:495% uh pays, we are talking about
00:00:52advanced uh benefits, is that right,
00:00:55made features, so to speak, 58% are not
00:00:59interested. And actually the willingness to pay
00:01:02is growing, the disinterest is growing,
00:01:05it's an interesting study on 3,500 American consumers
00:01:09who say that 40% of users
00:01:12of generative AI pay for the e-tool, 40 compared
00:01:16to five, but those who don't pay, the reason is interesting,
00:01:1950% of them say we don't pay because the free tools
00:01:23that's one reason, another is we don't
00:01:26use it often, that's 20% and 17 cite the price. In other
00:01:30words, the barrier to payment is not necessarily
00:01:33the price. Um, now the question is,
00:01:36of course, okay, willingness
00:01:39to pay on one side, but uh, we can
00:01:42already quite precisely determine in which direction
00:01:45the thing is going, what is AI actually predominantly used for, what is it used
00:01:49for? Yes, the answer to the question what AI is used for, here it clearly
00:01:52shows, so, uh, in
00:01:55the first place, information gathering, that is actually in line with...
00:02:00difficult for me to expose, then I will perhaps uh world trends, so to
00:02:03speak, mm, in third place are medical advice,
00:02:07which we should talk more about later,
00:02:10however, uh it's interesting
00:02:13to combine reasons one and two and that is information gathering and
00:02:16text generation which in
00:02:192023/24 were not so well
00:02:22positioned, in fact that will be interesting to Professor Galić, in third place was
00:02:26identity, a little chat with AI, that was in third then in... second then
00:02:30it worried us, my dear God, it won't happen that it will be in the first place, because
00:02:33unfortunately in 2015 in the world in the first place was
00:02:37therapy and companionship, in the first place, in the second to organize my
00:02:41life, in the third find me the meaning of life, these were the reasons
00:02:45for using the tool in 2015, why
00:02:48do I link reasons one and two, because Orwell nicely said, if people cannot
00:02:52write well, they cannot think well, and if they cannot think well,
00:02:55others will think for them, what I
00:02:59hope is that... this is too early for conclusions, but
00:03:02it is indicative that this is actually not a trend that now I don't even
00:03:06think, but find me information, then translate
00:03:09it and I hit enter, I found it, translated it and press
00:03:13print, I hope that's not the case, what's interesting is
00:03:17in the US and it's a global trend, but in the US
00:03:2042% of adults use chatbots for information, around
00:03:2420 for medical advice, and what we also noticed,
00:03:27or rather what you noticed is that mm... it is still in a way
00:03:31uh ChatGPT or Gemini or whatever
00:03:34tool is used uh a serious
00:03:37"thing" in quotes, it is not used so much for entertainment,
00:03:41that's right, before that I will just mention one more slide, one piece of data that didn't fit here,
00:03:45it's very important, for all of us, 27% of people
00:03:48seek advice for mental health, which
00:03:51is a special story, uh, so this
00:03:55question of yours, absolutely, more information, trends are seen,
00:03:58it gathers. new information
00:04:01is growing, that's there at 83,
00:04:05and it's interesting, the Ipsos survey 26,
00:04:0874% of users in 21 countries
00:04:12use it to learn something new, that's good, we are now
00:04:15talking about learning, we are not talking, that means if they really
00:04:18apply, for example, critical thinking and study,
00:04:22question, but a quite serious survey
00:04:25says that the answer is to learn, to learn something new
00:04:29to understand. or a complex topic, we won't open this topic now, but if
00:04:32someone uses, I repeat, for
00:04:35gathering information and translating, uh,
00:04:38a legitimate hypothesis is posed, "knowledge collapse", AI is a "slope"
00:04:42of the internet, that means we have over
00:04:4550% of data on the internet that is synthetic, which means that models
00:04:48are becoming degeneratively collapsing, we have cognitive
00:04:52surrender, cognitive surrender where we actually rely on that, so these
00:04:56data are a double-edged sword, research will show, uh...
00:05:00Finally, let's go back to the fact that it's in third place
00:05:03uh when we talk about using AI in
00:05:07seeking medical advice, so chat or or
00:05:11or Gemini or... whatever model uh not
00:05:14to mention uh it becomes a doctor, a family doctor,
00:05:18with all the side effects of that, that
00:05:22means it's growing tremendously from 44 to
00:05:2467%. Uh, I pulled out some
00:05:28global data again, first US, then global, so there are eight
00:05:32reasons that Pure Research investigated why someone would use
00:05:35medical advice, from type of diagnosis, advice, what can happen to me
00:05:38and so on, 34% of Americans use it for at least one of these reasons,
00:05:42and
00:05:45let's leave those reasons aside, now look at this, when asked to those
00:05:48people, okay, did that medical advice help you,
00:05:5147% of them say, it helped me a lot, another
00:05:5448% somewhat, only 5% not at all, so not
00:05:58only do they seek medical advice, but they are actually now convinced of
00:06:02its usefulness, that now, God forbid it happens,
00:06:06but that people will become AI doctors and self-proclaimed
00:06:09ones, so it's like, well, there's...
00:06:12we had everything in the COVID pandemic and "listen to
00:06:16science" became anything but "listen to science" and "listen to experts" and
00:06:19a great deal of skepticism appeared, which is
00:06:22perhaps uh an excellent question for
00:06:26you, of course, uh I mean, how to
00:06:29explain that it's growing, we all know, I mean, anecdotally
00:06:33that it's growing, we've seen it, it's not just a question of strict
00:06:37medicine, but advice for healthy living, whether to exercise
00:06:40like this or lift so many weights. How many sets and so on, right?
00:06:44I mean, why are people so prone to so easily
00:06:46believe ones and zeros, actually?
00:06:50First, because they don't know that they are ones or zeros, one of the
00:06:53phenomena that should be touched upon in these studies at some point, people
00:06:57are prone to anthropomorphization, meaning they give human characteristics to chatbots,
00:07:01this is actually a bit a bit more ambitious
00:07:04word completer, uh, it's
00:07:08perfectly clear to me from a psychological perspective.
00:07:12So, we use what solves a need
00:07:15for us, what benefits us, and
00:07:18the healthcare system, the phenomenon again is not new, my colleagues
00:07:21from the department of clinical psychology, from my
00:07:24department, have long dealt with Doctor Google, ever since the internet became
00:07:28widespread, it appeared there, you could look at it according to searches,
00:07:31why like that, it would be interesting for me to look at it comparatively,
00:07:35for example, I've been dealing for a long time with what worries people in Croatia and we've followed people,
00:07:39in Croatia three things worry them, inflation, corruption, availability
00:07:43of the healthcare system,
00:07:45uh, it would worry me, for example, if this
00:07:49serves as compensation
00:07:51for an unavailable healthcare system, then that's
00:07:55a problem, but on the other hand, we must expect that
00:07:58people, so they will use it for what gives them something they need,
00:08:02what they perceive as useful, if I cook, it's recipes, if I have
00:08:05a health problem, it's, it's this, it's
00:08:09healthy, health advice, especially...
00:08:12in situations where I don't have an available, available source that is
00:08:15credible again, available and easy,
00:08:19easy to access, maybe I have a general practitioner, but I can't
00:08:22reach him on the phone, it's always these three things, availability,
00:08:26ease and usefulness, that's where it all comes together, and people have,
00:08:30we all have a strong need, because what happens to us, when we have a health
00:08:34issue, we want to reduce anxiety, anxiety
00:08:38that appears, and we want to see, unfortunately
00:08:41it often results
00:08:44in the opposite, it increases, but I say let's go, people
00:08:46work to satisfy some of their needs,
00:08:49it's perfectly clear to me, what worries me, two things worry me,
00:08:53first, is it motivated by the unavailability
00:08:57of the system in our country, and second, are people equipped,
00:09:00equipped with enough criticality to judge it, I think from what I know about
00:09:04psychology, from my 25 years of dealing with it,
00:09:07they are not, now uh it's a special
00:09:11question that we will deal with now... a little bit, are they equipped to properly
00:09:15assess whether chat, or or or or
00:09:18again, I keep coming back to it because it has become a common place,
00:09:21uh to be uh a consultant or someone who
00:09:25makes decisions for them in business, in the business world,
00:09:28uh is uh perception or someone who will
00:09:32take their job, is it uh is
00:09:35AI from that perspective, not only of work but also of this
00:09:39related to health and medicine and interpersonal relationships?
00:09:42Threat or opportunity from the perspective of your
00:09:45respondents? Uh, my opinion is that it is definitely both
00:09:49a threat and an opportunity, definitely, uh, it's interesting
00:09:52that the respondents' answer is exactly along those lines, that
00:09:56they equally consider it a threat or
00:09:58an opportunity, however, mostly good for society
00:10:0225, mostly bad 18, so there's a difference
00:10:05in perception, the question was whether in the long term
00:10:09how do you see artificial intelligence, for example in
00:10:11the US. In the next 20 years, 40% of adults believe that there will
00:10:15be a negative impact, and 16% positive. What
00:10:19I will just add is the next very important question, on the previous slide,
00:10:2220% were... used for,
00:10:26let's say, mental health advice, that rose to 27%,
00:10:30here we can talk about availability, unavailability, however, unfortunately and
00:10:33sensitivity of the topic, we haven't quite, so, the sensitivity of the topic drives it, as something that is
00:10:37rather share it with someone who
00:10:41is impersonal, who is completely abstract and this this
00:10:44indicator again shows that we are a bit out of phase, because when we look at some other
00:10:48countries, actually concern, worry is growing and uh
00:10:52let's say positivity is falling. "Here it
00:10:55was last year, so we'll see what happens next year,
00:10:59still some optimism, or the number
00:11:02of optimists is slowly growing, that's
00:11:04right, more and more citizens
00:11:07expect a positive impact, definitely, and again
00:11:11now when we look at this curve, we must still put it in
00:11:14context with other countries, that's in 37 countries, now we're talking about
00:11:18the median, 37% are those who are more worried than excited,
00:11:22than thrilled, so more 40..." 1%
00:11:25equally, a very, very small number are primarily excited, or thrilled,
00:11:29in other words, it is significantly different from these results,
00:11:32one thing that we won't open now in richer countries
00:11:36concern is greater, so in so-called high
00:11:40income countries 40% versus
00:11:4231% middle and one more result from a few years ago, very
00:11:46interesting, in countries that are let's say leaders
00:11:49in AI, concern is greater
00:11:52and actually concern is growing. than in
00:11:55countries that are developing countries where it is implemented,
00:11:59which again has some psychological reasons that
00:12:03the professor will explain before me, that maybe now it's not bad that
00:12:06we lean on that and dedicate
00:12:08a little more to the way AI is viewed
00:12:12through certain prisms of human activities, first
00:12:16of all, for example, we just mentioned that some people use
00:12:19it, they used it before for, well, almost for
00:12:22psychotherapy,
00:12:25they consult it, which means they don't have contact with real people,
00:12:28just like with a doctor they don't know, they don't need
00:12:32their, we mostly see what is expected to bring to interpersonal
00:12:36relationships, that uh, unfortunately, according to the data
00:12:39we have, nothing good, the biggest negative impact is
00:12:42expected on privacy and interpersonal relationships,
00:12:46uh, in say Pure Research US, 50%
00:12:49expect AI to worsen people's ability to
00:12:53form meaningful relationships. And University of Melbourne and
00:12:56KPMG 83%,
00:12:5983% express moderate to very high concern about the loss
00:13:03of human interaction and connection, I'm talking about
00:13:06interpersonal relationships, MIT's research,
00:13:09greater use of chatbots is significantly statistically associated with
00:13:13loneliness, emotional dependence,
00:13:16less socialization, meaning uh,
00:13:19however, it would be really wrong of us as
00:13:22scientists to say binary, whether it's... bad or good
00:13:26and it's only bad or good, the real question is, studies show
00:13:29that AI can really help a lonely person in some
00:13:33situations, at the same time it can make society
00:13:36lonelier, we must actually be careful that both
00:13:40are somehow sensitized, another thing,
00:13:43privacy is important here, briefly uh
00:13:4682% of people, so privacy is a big concern here, I will give you
00:13:50a global survey, 82% of people are concerned about
00:13:53the possible loss of privacy. And now Cisco's research says
00:13:57this: 84% of people worry about their
00:14:00data becoming public, if they enter it into ChatGPT,
00:14:0284%.
00:14:0530% of those people who are terribly worried,
00:14:08enter financial, health, personal and
00:14:11confidential data without problems. Yes, uh, two more dimensions that
00:14:15we have already mentioned in a way in the conversation, uh,
00:14:19one is healthcare, the other is education, you yourselves said and
00:14:23both of you are university professors. You
00:14:25have probably already seen what is happening with the use of AI in
00:14:28higher education?
00:14:32Absolutely, first let me tell you about healthcare, i.e.
00:14:35medicine, the general global perception, let's
00:14:39say, 44% positive, 19% negative,
00:14:43meaning positive for the impact of AI on medical care,
00:14:46Ipsos research is 36% of them expect
00:14:50positive, only 12% worse, by the way,
00:14:53uh WHO has already published data that 74% of EU countries
00:14:57already use AI assisted diagnostics, and
00:15:00the last thing about medicine is the following: some papers
00:15:03show, some papers show
00:15:06that uh it definitely helps doctors and
00:15:10they achieve better results, some other studies have been done
00:15:14so it's quite ambivalent, we have completely opposite papers
00:15:17that show that it actually didn't improve, so research is ahead
00:15:21of us, regarding uh education,
00:15:24the latest... PISA study shows that those who
00:15:27use AI on average have about 20 points
00:15:30less, for example in science, so
00:15:33it's still difficult and too early to conclude.
00:15:37about some serious correlations, but another study
00:15:40showed that when they use ChatGPT, they achieve
00:15:44better results during the use of ChatGPT, especially
00:15:47the so-called tutor, when you take that away and give them a test, then it
00:15:51drops, meaning what we need is not to remove AI from
00:15:54education at all, but we definitely need to devise a new
00:15:58paradigm of augmented intelligence, a new paradigm
00:16:02of education,
00:16:04uh, when we talk about that, Professor Galić, one question...
00:16:08um, can we already know that we are accurately measuring these
00:16:12changes that are happening in the psyche, in mental
00:16:15capacities, cognitive abilities of young people
00:16:18who grew up on AI, or will we in, I don't know, 10, 20,
00:16:2230 years, as we realized with intelligence tests, that they had
00:16:26cultural, cultural, is it this bias,
00:16:29uh, that perhaps the tool was not the best for measuring, or can we
00:16:33already say with certainty, we have enough data that
00:16:37moral. panic may not be entirely unjustified, mm, we don't have
00:16:40enough data, but we can measure, so in psychology, if we know something well,
00:16:44we know how to measure it well, but people who know how to do it must
00:16:48do it, there is a parallel that I am drawing now and which I think is terribly important, it is
00:16:52a parallel in the parallel effect of social networks
00:16:55on the mental health of young people and
00:16:58children, that is, for example, an area in which for a long time
00:17:01a battle was fought to show
00:17:04that uh the effects are significant. That we had a
00:17:08completely unregulated area that has huge negative
00:17:11effects on the health of children and young people. Jonathan Haidt published
00:17:15the book "Anxious Generation" and started a very big battle that is now only
00:17:19reaching us again. This is a new technology and
00:17:22it, I'm afraid this time, not only are young people certainly
00:17:26unprepared for it, I'm afraid we all enter it unprepared,
00:17:29I can't say we don't have ready data, it develops too quickly, what
00:17:33we know, we have to do these studies, this study, Roberta,
00:17:36is not perfect, none is, but we have to do them and
00:17:39comment on them so that we can, so that we can know something
00:17:43about it so that we can follow and discuss, but we must be, as I want to say, so every
00:17:47study, we don't have, we don't have data, the only way to discuss
00:17:51argumentatively is to have some data, the more we have,
00:17:54the smarter we will be, we will know how to measure, so there is no doubt
00:17:58this at some point, let's then just for the end
00:18:02touch upon one more important segment
00:18:05of the story, or what is perhaps... just the tip of the iceberg, that is,
00:18:09"AI is stealing our jobs, AI will
00:18:12make us all completely
00:18:14unnecessary, destroy the labor market,
00:18:18destroy entire professions" and so on and so on, is that the sentiment that prevails
00:18:22among the respondents? Uh, so the data shows that
00:18:2547% of them expect the disappearance
00:18:28of many jobs, that data is more pessimistic than
00:18:32optimistic that more jobs will be created, only 10,
00:18:36so that's a huge difference. And when you look at it over
00:18:39the years, which is not shown here, I'll just show, so
00:18:43over the years we don't have much difference, it's more or less a steady curve, it's growing
00:18:47plus or minus, uh, there is a paradox that I will now connect with
00:18:50that at the company level, yesterday we showed data that
00:18:5446% of companies, very close to the figure
00:18:57of 47, this one, expect job losses,
00:19:0146%.
00:19:04When asked if jobs will disappear in their organization,
00:19:0871% say not
00:19:11in ours, so in someone else's organization, yes,
00:19:14but in mine, but whose will disappear then, and now it was interesting to make
00:19:18a comparison, a in-depth study that my colleague Galejić
00:19:21and I can certainly do together with colleague Žnidar, to dive into the data
00:19:25and pull out some really interesting correlations, today,
00:19:28tomorrow, perhaps even causalities, uh, also what we know
00:19:32and often talk about both about future
00:19:35skills, so the WEF has stated, so
00:19:3840% of skills will be obsolete, what we now
00:19:41really have to think about are those skills and
00:19:44yesterday's research showed, it
00:19:47definitely shows all global data, the most sought-after skills in
00:19:51Croatia among employers, and 59% meaning it's growing
00:19:54rapidly, creative and critical thinking, analytical thinking
00:19:58are, everything else is twice lower, these two skills are
00:20:02future skills, however on the other hand,
00:20:05perhaps the answer is somewhat... this data that all this will happen
00:20:09to others, but also to us, uh, it's interesting to look at
00:20:13the data that there are still some useful
00:20:17uh, concrete, tangible benefits
00:20:20of AI that outweigh the risks, for people who do
00:20:24something, right, professionals, absolutely, absolutely, this year a
00:20:28turning point happened, as can be seen, last year risks
00:20:31versus benefits were stronger, let's say, by 10
00:20:35percentage points, here a reversal occurred,
00:20:38meaning more benefits, as you can see, meaning
00:20:42they slightly outweigh, however most people are still in the middle of the scale, about
00:20:4544%, meaning they still haven't
00:20:48decided, so to speak, it's still being considered,
00:20:52thought about, global research shows, for example, I'll just take
00:20:55the US now, concern is growing - and the
00:20:58question was uh whether there is more worry
00:21:00or benefit, right, or
00:21:04excited, it is definitely more concern, they are more
00:21:08worried, employers the ratio of benefits and
00:21:10risks, more benefits, although benefits
00:21:13are falling, interestingly, among employers, benefits are falling,
00:21:17but not at the expense of risks, risk is rather... at the expense of
00:21:20the middle ground and more and more of them from the undoubted
00:21:24risk of hype, that's what they are saying it was what I said,
00:21:28the business community has already gained some experience and that's why they are
00:21:31already more realistic, that is in line with what, that's right, that's right, that's right, especially
00:21:35since these global studies, MIT published an excellent study, Nando di
00:21:39only 5% of employers manage to achieve ROI in terms of
00:21:43scaling correctly to get some result, so this is called
00:21:46digital divide or AI divide, actually 95%.
00:21:50zero, mm, let's go back to this
00:21:54data which perhaps even caused
00:21:57a bit of a, I won't say a smirk,
00:21:59but certainly caused a reaction, mm,
00:22:03and that is that, so at the same time the fear of
00:22:06job loss that will happen to everyone, just not to me,
00:22:10now how successfully we lie to ourselves, because we obviously lie to ourselves if we are
00:22:14willing to see, so that the worst possible things will happen everywhere, but not in my
00:22:17backyard, no, we have a psychological
00:22:20phenomenon, we have a real social phenomenon, the real social phenomenon is the following, what I see
00:22:24from the data, so artificial intelligence will
00:22:27in the coming period be able to automate 30 to
00:22:3070% of work tasks, not jobs, many new work
00:22:34tasks will be created, what I see now from American data is that what is happening,
00:22:38so not as much firing as expected,
00:22:41but no new hiring is happening, so there is
00:22:44a super called canaries in the coal mine,
00:22:48which shows what will happen. Somewhere around 13% of
00:22:52new job ads are less than before, so no
00:22:55new workers are being hired, we will probably
00:22:59touch upon that in the next show, on the other hand we have this psychological phenomenon, so
00:23:02yes, now let me go back and state, so I think
00:23:06if it has an impact on business, the first
00:23:10impact on business in terms of jobs will be not hiring
00:23:14new people, not firing existing ones for
00:23:17now, but that is also a loss of work. for someone who
00:23:20was supposed to enter the labor market, and I think that is the most critical part and this impact
00:23:24of artificial intelligence on the labor market, of course there is this psychological phenomenon, people who perceive
00:23:28it, have cognitive defenses, they don't want to see
00:23:31that we always overestimate our own usefulness,
00:23:35our own expertise, we don't see it completely, that data is
00:23:38a combination of these two things, how to find
00:23:41a good balance, how to calibrate
00:23:44trust, we just said, the business community has
00:23:48already crossed over. because they have accumulated some experience,
00:23:52and how as an individual to find a good
00:23:55balance, a good balance between skepticism
00:23:58and and blind, I won't say blind, but let's say trust,
00:24:02so I am not an expert in artificial intelligence, I am in human behavior, what I see now
00:24:06generally, uh, artificial intelligence as a whole at a global
00:24:10level is at a crossroads, it will perhaps go one way, perhaps another,
00:24:14one way is the one that advocates owners and those
00:24:17tech billionaires, which is... a path
00:24:20that is not very good for most people except for them, and there is
00:24:24another path that can be taken, that is the path to
00:24:28extract maximum benefit for all citizens in society, uh,
00:24:32people will be uh calm
00:24:34depending on how much they trust institutions, so we, I think we have
00:24:37now a problem of global mistrust in institutions and we have
00:24:41a problem of local mistrust in institutions, what can we
00:24:44do, so we must state what the reality is, meaning the reality is that
00:24:48artificial intelligence is here. that we must, the English
00:24:52word is embraced, we must accept it, we must use it and we must position ourselves in the
00:24:56labor market in accordance with it. It seems to me that we in the
00:24:59education system do not yet see this quickly enough, with some honorable
00:25:02exceptions, we are changing too slowly, I don't know, for example, I told
00:25:06my colleagues that it's quite wrong for me to ban
00:25:10AI, instead I told them, you may use AI, not just may, but you should
00:25:14use AI, but that completely changed my testing system in the way I
00:25:17work, I teach, which was ... completely
00:25:20different, it seems to me that like
00:25:23with artificial artificial intelligence is not
00:25:27a new story in its structure, it is, it is
00:25:30a technological revolution of the kind that we are used to, we can
00:25:33inherit some information from before, for example, uh,
00:25:37the first industrial revolution started in the 18th century,
00:25:40benefits to people, global benefits came in the mid-19th
00:25:44century, this period between the beginning and the
00:25:47benefits was very turbulent, it was for... yes, and so
00:25:51now the thing is about the social contract, what
00:25:54I, therefore, I must
00:25:58appeal to all stakeholders in the system to engage a little
00:26:01with these topics. And secondly, you, but secondly, we as individuals
00:26:05must be more agile, although it always
00:26:08annoys me when all social problems are attributed to the individual and
00:26:12their attitude, so I can change
00:26:15little, the system must change, we can separate waste all we
00:26:19want, but we won't really solve it if we individually, but
00:26:22professor, you still have two quick things,
00:26:25data from yesterday, 75% of companies in Croatia believe
00:26:29that the education system is not adequate.
00:26:32considering the competencies that are needed in the AI age.
00:26:3675%, so something in the education system, something we need to change in
00:26:40the education system, what I would like to do again is to defend, now I have to defend
00:26:44the education system, what employers want is for us to
00:26:47deliver people who are plug-and-play, that will never
00:26:50happen, neither after nor before artificial intelligence, what we must be
00:26:53is more agile, so we must, I hope that next time we will talk about
00:26:57acquiring fundamental knowledge is a prerequisite for
00:27:00effectively using artificial intelligence. Artificial
00:27:03intelligence will not make you an expert, you must, now
00:27:07I am speaking from the perspective of a psychologist who understands how knowledge and
00:27:09skills are acquired, artificial intelligence will not make you an expert, eventually
00:27:13in a simple task, what artificial intelligence does is it will
00:27:16increase the difference between an expert and a beginner in
00:27:20complex tasks,
00:27:23uh, it's actually interesting when we, we'll talk about that next time, we won't go
00:27:27into that area anymore, connect it, it has a bit of a different
00:27:31way to connect it, but for... finally I would like to say one important sentence,
00:27:35however, there is a critical difference between artificial intelligence and all
00:27:38, let's say, technological revolutions, that
00:27:41is that no revolution could
00:27:44create itself or improve itself,
00:27:47artificial intelligence has that ability, we
00:27:51absolutely must think about it, not even nuclear energy has the ability to create
00:27:55autonomous nuclear energy, we now see, Mustafa Suleyman said
00:27:58it well, when all four conditions are met, one of which is the one I am talking about.
00:28:02we have military-grade capability, a serious problem,
00:28:06it is already happening, meaning I am absolutely for
00:28:09artificial intelligence, but it is both an opportunity and a threat, both an opportunity and
00:28:13a threat, we will have something to talk about
00:28:16next time, in a week we will have a new set
00:28:19of data, a new set of comments, a new set of things to think about
00:28:23and discuss, gentlemen, thank you very much for being our guests,
00:28:27thank you very much, thank you for the
00:28:28invitation.
00:28:46This was the first part of the special N1 Television broadcast dedicated to
00:28:50research on the attitudes of citizens of the Republic of Croatia
00:28:54regarding the use of artificial intelligence, its knowledge,
00:28:58literacy and so on. In a week we will be back here, thank you for being
00:29:02with us. And continue watching N1 Television.
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