00:00:00.000so when when you see the the news stories and the press releases that they they caught someone you
00:00:05.760know doing fraud or scams that is that it harkens back to be honest with you to the early 80s when
00:00:13.040the miami police force would show that hey we caught two kilos of cocaine but two tons came in
00:00:20.080hey everybody this is ron coghlin as well as jim lang today talking about a really interesting
00:00:30.080topic one that i've been talking about on my what's your story podcast about generative ai
00:00:35.360and ai and this turbulent time in ai and actually recently uh bill gates you all know who he is uh he
00:00:44.640He has published kind of an urgent perspective on the topic, talking about artificial intelligence and how he warns, actually, this new era is going to bring about some turbulent times in business as well as in the job force and many other things.
00:01:02.760So welcome, Jim. How are you doing today?
00:01:07.060I'm good. And the article in the column by Bill Gates was eye-opening and enlightening.
00:01:13.040for lay people like me, but for the government officials and science community, when he uses
00:01:21.120the phrase, quote, on the current course and speed, there is a very high chance of a net
00:01:27.540negative outcome, unquote, about AI. So he's saying the way we're going, it could be dangerous.
00:01:35.400Now, at the same time we're having this conversation, lawyers representing the victims
00:01:40.060and survivors at Tumblr Ridge say they are filing 30 new lawsuits against open AI in a U.S. federal
00:01:46.920court in California. People are trying to fight back against AI, and now it's gone to the courts.
00:01:53.260And I think what Bill Gates said is sends off alarm bells and red flags everywhere, Ron,
00:01:59.640that we have got to take a deeper look at a more serious look at AI, the impact on society
00:02:05.460and everyday people before we advance too rapidly because it seems to be running out of control
00:02:11.800right now. Yeah, absolutely. And one of the things he talks about is an education. Actually,
00:02:25.620to step into some new roles that are going to be created through AI. You know, AI will.
00:02:30.260I've had a lot of guests on my podcast that have said, listen, you know, like any new technology, there's going to be jobs lost, but there'll be new jobs created.
00:02:41.740But one of the things that Bill Gates is saying is that, you know, from a white-collar perspective, there's going to be lots of job losses.
00:02:50.440We're going to have to prepare for that.
00:02:51.760And then from a blue collar perspective with robotics and everything else in AI, we're going to find ourselves in a bit of a pickle that it's going to be a lot of people who are going to lose their jobs.
00:03:03.440Interesting enough, that is not what a lot of my other guests have been saying.
00:03:10.600He's, you know, sounding the alarm bells.
00:03:15.040And that's very interesting right now in terms of what he's saying.
00:03:18.680And Ron, he went historical of breaking down the unemployment numbers in the United States
00:03:24.180during the Great Depression when it hovered around 25 percent.
00:03:28.520And it was post-World War II after the boom of manufacturing and construction to build
00:03:34.520a war machine to win World War II where the American economy changed.
00:03:38.920But he talked about a decade of well into double-digit unemployment numbers in America.
00:03:44.640And he's saying it won't get to 25, but America has to prepare for double-digit 10, 11, 12, maybe 15 percent unemployment in the column.
00:03:54.240And he's saying, hey, and he quoted it, he said, basically, neither party, referring to Democrats and Republicans, is very knowledgeable or being thoughtful about this.
00:04:07.180And the one thing that you've obviously gleaned from talking to experts that we've got to get past the, you know, that initial sheen and dig deep into this, because this is not getting a home computer or, you know, typing up an essay in a computer.
00:04:24.040that transition from the 70s to the 80s in workplace and education. This is so far beyond
00:04:30.340that, that we need to, if they don't have the knowledge of where we'll fall within the politicians
00:04:36.140of Canada and around the world, they need to hire experts to help them. Yeah. One of the things I'm,
00:04:42.560I also teach at the college level and I've taught, I teach digital marketing and I teach AI in those
00:04:47.580courses and one of the things i have incorporated into some of my classes has been ai training so
00:04:55.740for example google has these essentials of ai training i make it a mandatory assignment for
00:05:03.020them to do a six-week kind of i guess commitment to getting their certification i make it part of
00:05:10.700their mark and i make it so that they are have some type of credentials when they're getting
00:05:15.500into the workplace because some companies like spotify and other places actually ask the question
00:05:22.060um they ask the interview in the interview they say hey um if if if you were to work with us um
00:05:30.860what why should we hire you when we could use ai and they ask those questions and so they have to
00:05:37.340be prepared and they have to have the education which and the certification going forward and
00:05:44.520He feels that, you know, for entry-level jobs or even jobs like copywriting or analysis or whatever, or coding,
00:05:54.940those are a lot of those kind of jobs can be taken up through AI and actually replaced with that AI engine, you know.
00:06:02.300And he's taken it a step further, Ron.
00:06:04.600He's actually advocating for national AI institutions throughout the world, which would be located almost similar with associations to something like Waterloo University, the hub of computer science and quantum physics and stuff like that in Canada or MIT or, you know, those kind of schools around the world and have almost a whole subsection of AI institutions to educate the public politicians and protect us.
00:06:34.400prepare ourselves we just did an episode not long ago with an expert in computer fraud and cyber
00:06:41.760security in canada and he said look based on the conversation jim i'm having you right now
00:06:47.360someone could take my voice use ai and make a fake phone call to someone maybe i know and ask
00:06:54.320for money and they wouldn't be able to tell the difference and that is a very scary prospect
00:06:59.840yeah when you pick up one of those um spam calls that you get all the time
00:07:04.400The advice we hear is not to answer the phone if you don't know who it is, because what they're trying to do is capture your voice.
00:07:11.140Once they capture your voice for at least five seconds, they've got you and they can they can use that against you and use that against your family.
00:07:18.640And, you know, extort you or whatever or, you know, try to get money from people.
00:07:25.240So when you see the news stories and the press releases that they they caught someone, you know, doing fraud or scams, that is.
00:07:34.400That harkens back, to be honest with you, to the early 80s when the Miami police force would show that, hey, we caught two kilos of cocaine, but two tons came in.
00:07:46.340Like, it's not even, we're not even scratching the surface.
00:07:49.380So the level of ability to use AI for evil, for crime, for bad things in the world, that I think I really agree with Bill Gates that we need to develop almost a whole curriculum.
00:08:03.880in post-secondary education in Canada, dedicated to AI, the science of AI, how to protect ourselves
00:08:11.840through AI, and how to detect issues. We have no choice but to do it wrong.
00:08:18.000Yeah. Gates in his essay really had some deep concern around relying on AI for young people
00:08:25.580in terms of their cognitive development. He actually goes on to say that this could really
00:08:31.000stunt the growth of young people uh stunt the growth of connecting with humans and
00:08:37.320creating really meaningful relationships and uh you know really get away you know not teaching
00:08:44.040them how to critically think about problems and other things because they're relying on tools
00:08:49.800other than themselves and their bro their own brain and discussions amongst individuals or
00:08:55.640or former students, actually like-minded students.
00:10:14.780And what they were saying is that we're going to use AI modeling instead.
00:10:18.820So we're going to use AI modeling to predict what you want, not necessarily what consumers are actually doing online, which is an issue because, you know, advertisers like that they can do that.
00:10:34.960They like to be able to track people and understand what consumers are doing.
00:10:39.240Yeah, so they actually fought back businesses and they have delayed the introduction of this.
00:10:46.560But they have done what you have said, was when you make a search on Google and put in your keywords and your phrases, what you're looking for, up comes from Gemini, a summary first, and then there's the search queries after that, which is really, really interesting.
00:12:23.880So pretty interesting, but it's a bit of a drag.
00:12:27.200So we have to find new ways to evaluate people on their skills and maybe less, you know, writing and more practical ways of, you know, interviews and demonstrations and presentations and other things.
00:12:44.780And Bill Gates alludes to it in the column, and there's been multiple columns written about it throughout North America, around the world, that post-secondary students are leaning heavily in AI to complete their tasks and get their marks.
00:13:00.120And I think about you and all the instructors and professors and lab instructors around the world running courses and running assignments.
00:13:11.080And for those young students, the pressure to graduate, to get high marks, to, you know, especially some of them based on their marks, they have some sort of academic, you know, fiduciary reward that they get some sort of stipend out of it.
00:13:34.100I mean, we used to have Cole's notes to help us figure things out.
00:13:37.700Well, now it's light years more efficient and faster.
00:13:42.920It takes mere seconds to complete an assignment that's going to be well conceived, well written, well constructed, and should get you a good mark.
00:13:53.940Yeah, the other thing that Gates alludes to is the ethics around this.
00:13:57.440and equity because a lot of these AMI models have been developed by I have to say
00:14:06.000you know those that have are white okay so because of that there's white values that are put into
00:14:12.240that as well as the perception and perspectives of white individuals so in terms of ethnic minorities
00:14:19.440or other types of racial people that's all been forgotten so a lot of the responses you get back
00:15:24.580It can't rewire your bathroom, but AI can help you write a legal document or do accounting or any number of jobs that you would have to hire someone to pay for.
00:15:36.360Or those firms that had 12, 20 people now will be able to do one or two thanks to AI.
00:15:43.120Yeah, and it also saves organizations money.
00:15:47.800So TPL Media, which we're both part of, we're looking at new ways to get out into the public to really spread our wings and get noticed and get people to follow us.
00:16:00.320And one of the ideas we've come up with, actually Paul Micucci came up with this, said we should be going to some trade shows and have some type of a live podcast.
00:16:08.880So today I was thinking through this and said, well, maybe we should do a pop-up.
00:16:14.240So I put into, you know, Google AI, I asked it, I said, hey, listen, create me a podcast studio out of a shipping container and make it this color, add this logo, put a look from people watching the podcast.
00:16:33.940And we put it up and bang, it was like incredible what came out of it.
00:17:41.520Well, see, and I think about what Bill Gates said.
00:17:44.360AI will either be the greatest equalizer ever invented or the worst source of injustice.
00:17:50.420So what you're talking about, I think, is the positive aspect, how quickly you can search up something, create ideas, come up with something and a plan and go, oh, okay, if we tweak this and this, this will work for us.
00:18:05.420Now, I see that the bad side and the evil side being used by, you know, the Vladimir Putins of the world or or, you know, some criminal mastermind or someone trying to do you ill.
00:18:17.560But there's also there if we do it right.
00:18:26.480Yeah, and he also talks about higher institutions like universities and colleges and the Harvards of the world to really prepare structurally how this should all be and proactively in opposed to just throwing it into courses and, oh, we need to have AI into these curriculum and into these course outlines because overall, it's going to be part of our life.
00:18:51.500And they need to really thoroughly think about how you use AI as a learning tool in the classroom, how you use AI to effectively train people to use AI and to in this new changing marketplace from a broader perspective.
00:19:10.360Well, I remember in high school when Waterloo University was one of the first schools in the country to offer computer sciences a degree.
00:19:18.340and we are probably at the point where the top schools in the world need to offer ai science
00:19:25.820as a degree this is this is the whole curriculum for your bachelor's degree your bachelor's of
00:19:32.060science is focused on ai the good the bad and the ugly about how it works how how it can be a
00:19:39.180benefit i think we're at that point ron that we we need a stream a curriculum you know and a cohort
00:19:46.180to students graduating so we can be prepared for what's coming yeah and you know gates argues about
00:19:53.940this idea that ai actually makes shortcuts frictionless and he talks about this uh in
00:20:00.340terms of everyday tasks he talks about in terms of how instructors should redesign their courses
00:20:06.820and as in addition to that he also talks a little bit about you know overhauling the whole curriculum
00:20:12.340in a way that actually seems quite daunting,
00:20:16.380but you could use AdaEye to help you to do that.
00:20:21.040So maybe not as daunting as he may think, you know.
00:20:24.760And at the end of the day, being a professor,
00:20:29.340I'm a little more advanced in this area,
00:21:11.220the way that we get work done we make things more efficient and that type of thing bill gates you
00:21:17.900know ron real quick you think about who's talking about this he has to be ranked as one of the most
00:21:24.260groundbreaking minds and scientists of the last 50 years with the you know the home computer
00:21:31.660and software and everything he's brought to what we just take for granted now and day to day and
00:21:38.580And I think about his quote in his op-ed piece, this unprecedented, that's the key word, this unprecedented technology demands an unprecedented global response.
00:21:52.480So here's a guy who's been at the forefront of software and computers for 50 years, and he refers to AI as unprecedented technology.
00:22:01.340technology. So that means the best and brightest minds around the world, you know, bipartisan,
00:22:07.920you know, forget about maybe your fights and squabbles. This is almost something that demands
00:22:12.600the top minds around the world working together. Yeah. And he, one of his concerns is we're not
00:22:20.440prepared and, and we're really not, we're not as fast as AI to think about what we need to do to
00:22:27.020prepare our workforce, you know, our students and other things. And he also talks, as I said earlier,
00:22:35.700about the social and cognitive harm this can have on many different groups of the population base
00:22:42.460that is out there. I couldn't agree more. And think about at the same time he's explaining this
00:22:48.920and breaking it down in real stark terms for everyone to read and be part of. The governments
00:22:56.000that we live under, when they try to get laws through the House of Commons, through the Congress,
00:23:03.760through, you know, all the parliaments and government offices around the world, it takes
00:23:08.620time, Ron. They have to present it. They have to debate it. It has to get passed. Then there's
00:23:13.760royal ascension. That takes, if you're lucky, only months and months. So by the time they passed
00:23:20.120an AI law in Canada, it could be 8, 10, 12 months. Well, think about the advancement in AI
00:23:25.740in that time yeah and the law's outdated by then yeah it's very quick and things are evolving and
00:23:33.780changing including the data centers that are out there which i'm going to talk about on another
00:23:37.920on another day with you uh but uh one of the things which i think is interesting is
00:23:44.440really figuring out policy around ai but at the same time ai may advance beyond that policy pretty
00:23:54.180quickly and so this is what he's worried about that the wrong people are going to get behind this
00:24:01.700and it will affect our society may affect our finances they may uh elections different things
00:24:08.820elections yes yeah the finance market yeah i mean it's it's endless how it could adversely affect us
00:24:17.460And he's basically in the body of the peace pleading to the leaders of the world, you have a chance to act now before unemployment rises sharply, communities are hurting, and public trust is eroded.
00:24:30.460But he is begging everyone around the world, stop squabbling about little things and, like, take some time and focus on AI and how it affects us.
00:24:39.920Because they have an ethical and moral obligation to take his advice seriously, Ron.
00:24:59.840I don't care if it's an MP or an MPP or it's a hand-picked individual from the top, you know, academic minds in the country, someone that they can appoint and be at the forefront of this because, you know, the future of Canada could be greatly affected positively or negatively if we're on the right side of this.
00:25:29.840mr trump and his cronies there have been from the white house have been using ai to send political
00:25:35.680messages out uh that just make you angry and then they're they know what they're doing and it's
00:25:41.280building and growing and learning from itself so that's interesting at the same time a canadian
00:25:47.280a patriotic canadian used ai to create this patriotic song with ai generated canada geese
00:25:53.920and beavers and moose you know wearing tpl hats and canada hats and singing along so it works
00:25:59.440both ways yeah i know it's uh it it's it's very interesting times it is um i think that there's
00:26:08.400some really important things it's really a um it's really about think rethinking about humanity
00:26:14.560and how is this going to affect our daily lives how this is going to affect our kids
00:26:20.800how is it going to affect our workflows at work and and if you're not up to speed on those skills
00:26:28.000and using those things you're going to fall behind pretty quickly and he warns about that as well
00:26:35.140in in this article and I I he's got he's got some great insight I think in terms of his rethinking
00:26:41.440on all this I couldn't agree more and I think while you're saying that think about the seismic
00:26:47.440change in farming in the 18 late 1800s early 1900s when tractors were introduced no long did you have
00:26:55.860a team of horses or oxen pulling the plow all of a sudden you could do it in a fraction of the time
00:27:00.840with a you know internal combustion engine power tractor and you could plow the field and harvest
00:27:07.680the crops and produce more food and there has been times in the world where you know all of a sudden
00:27:14.260it went from handmade stuff to the industrial revolution to big factories spewing black smoke
00:27:19.960in the air, mass producing things. And there's been these moments in time in our history in the
00:27:26.360last few hundred years that affected farming, manufacturing, air travel. And we take it for
00:27:31.720granted that we just hop on a plane with turbofan engines, these jet engines that don't burn a lot
00:27:40.060of fuel, produce a lot of thrust and get you basically anywhere you need to go in a few hours
00:27:44.160like it was nothing. And on and on it goes. And so this is the latest thing. It's AI.
00:27:50.840And the whole world, whether you want it or not, whether you agree with it or not,
00:27:55.400it is not going away more. So we need to be proactive as a community, as a country,
00:28:02.280as a society, to have these experts, to create these AI institutions, to have an AI degree,
00:28:08.420to have people appointed by politicians and government to help protect us.
00:28:13.920Otherwise, we could be really vulnerable here as a country.
00:28:17.920Yeah, it's really about educational readiness, faculty readiness,
00:28:22.260instructors who are informed about this, and institutional equity.
00:28:27.640What I mean by that is it's actually, from a leadership perspective,
00:28:31.960I think industry has to get together with the education groups
00:28:36.660and the universities to help design clearer policy programs, change curriculums, and in a way that
00:28:45.140will actually help the student body and help all students, not necessarily certain types of students,
00:28:52.180but equitably across many different areas of study. And I think that's a concern as well,
00:28:58.020because AI is also being used, for example, in medicine, right? So, and in a very positive way,
00:29:05.540But at the same time, you know, those that are teaching it may not know how to use the AI, and they have to be informed and also educated themselves, which I think is really, really important here.
00:29:19.740Now, he brings up something very interesting that I think a lot of people would view this as fair, a tax on AI usage that replaces monitoring of any model that can make novel molecules, he talks about it, but using it for funding.
00:29:40.860And because right now, these massive AI companies are, you know, poised to become multi-trillionaires.
00:29:49.260And Mike Wickston and I talked about Mark Zuckerberg and Meta, and they're $1.5 trillion.
00:29:57.040And so these huge social media companies with that kind of financial backing, they can now use it to funnel it into AI to make them even stronger.
00:30:07.840And, you know, and he asked me the question, like, can government stop a Mark Zuckerberg and Meta?
00:30:14.620And I quite frankly, I said, no, you know, he got fined $18 billion by a court case.
00:30:21.540$18 billion in Mark Zuckerberg is the change you have in your cup holder to, you know, pay Tim Hortons or get that dollar for the cart at No Frills.
00:32:33.600Yeah, but for everyday workforce and everyday situations, AI now is being used very efficiently to make your day easier, get your job done quicker, organize, analyze data.
00:32:51.740And, for example, my son, he works for a digital marketing firm called the Influence Marketing Group.
00:32:57.380And when he makes presentations, he'll design up a presentation, put it into the AI, ask it for recommendations, and pretty soon he's got this really robust, excellent presentation that he can put in front of his clients and really help make more money from it.
00:33:22.160And Ron, I'm convinced that there are millions of Canadians who benefit from AI every day and don't realize it.
00:33:30.680On one hand, they're telling you, Ron, I don't like AI.
00:35:26.820Giving them AI technology is a good thing, but it also, if someone was to, you know, hack it somehow, it could do some major damage, right?
00:35:39.380So, yeah, there's a lot of concerns that this may go beyond what we can actually control, and that's a real challenge.
00:35:49.960And also, from the normal workforce, you know, entry-level jobs, you learn certain tasks in your day, and Bill Gates warned about this.
00:36:01.220These routine tasks today are becoming automated.
00:36:04.660Because of this automation, our workforce is going to lose some of those skills, lose some of those different things that they should have developed over time to really be able to be an expert in a certain area.
00:36:20.920And so they're actually skipping steps.
00:36:22.740And so he actually says we must walk across the graduation stage into the new economy, is what he's saying, into this new world, and train people in a different way.
00:36:35.740Well, here we are about to start the first-year freshman students across the world.
00:36:41.980They're moving into their dorms and getting ready.
00:36:45.060By the time they graduate in four years, Juan, think about the difference in the world and the difference with AI technology.
00:36:52.740Yeah, it's a different world for all of them. And I think, you know, it's interesting. When we had COVID, they were all stuck inside. They couldn't socialize, couldn't go to classes. Everything was online.
00:37:09.260yeah you know and ai was just developing at that time it's exploded since then and now they have a
00:37:15.640new challenge ahead of them and so education as i said earlier institutions need to be ready for
00:37:21.660this they need to be having think tanks they need to change curriculums i mean i was part of
00:37:28.260two big colleges and we were talking about it a lot but it needs a more deeper think and focus i
00:37:37.420believe. So he, I love his call to action, the new national institutions and the new almost degrees
00:37:45.200in AI. I know in York region, like a lot of areas, which is north of Toronto and, you know,
00:37:52.460Richmond Hill, Vaughn, for people in other parts of Canada don't realize. So what they've done is
00:37:56.680they've created specialized medical schools focused only on family doctors. Like a lot of
00:38:03.360parts in Canada, there's a huge, you know, shortage of family doctors. So now they've created a medical
00:38:09.960school solely focused on GP family doctors. And after they work for a few years, if they want to
00:38:15.840go back to school and specialize and something else, that's fine. So we know it can be done.
00:38:20.440They obviously had a real crisis of a shortage of family doctors in Ontario. And through the
00:38:28.260federal government, provincial government, and regional governments, they got together,
00:38:31.580found the land, built the building, hired the instructors, and now they are like in the first
00:38:36.860cohort of these doctors. They're trailing strictly to be GPs. And so we know it can be done. So this
00:38:44.200is an equally serious crisis. You can make an argument an even more serious crisis, Ron. So
00:38:49.880let's be proactive. We have the wherewithal, the structure, the brain power, the money in this
00:38:56.140country to create these even a satellite campus of existing schools or new schools totally focused
00:39:03.760on AI so we as a country are ready. Absolutely and they really need to focus on the process of
00:39:10.920thinking continue to have human connections involved in their in that process so we don't
00:39:17.320get away from that and don't lose some of the cognitive development we need in our young people
00:39:22.560And at the end of the day, it's not automation for convenience, but automation for results and for advancement.
00:39:31.320And I think that's an important lesson that actually needs to be stated here.
00:40:35.860No, we need actual people who know something.
00:40:39.120It's too important to just be frivolous with it, Ron.
00:40:43.200Yeah, and I think you're absolutely right there.
00:40:45.880I mean, they make these big announcements, but what's really behind those announcements and that funding, who's leading it, how is this going to all go forward in the future?
00:40:58.000Listen, Jim, I want to thank you for joining us today.
00:41:00.600You and I are going to have another discussion about this pretty soon, about the AI data centers and the backlash around these AI data centers.
00:41:10.540And one of the ones was in Olds recently in Alberta and some of the pitfalls around that as well.
00:41:17.900But once again, I want to thank you for joining us today, Jim.