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Leonard S. Johnson is the Founder and CEO of AIEDC, a 5G Cloud Mobile App Maker and Service Provider with Machine Learning to help small and midsize businesses create their own iOS and Android mobile apps with no-code or low-code so they can engage and service their customer base, as well as provide front and back office digitization services for small businesses. Victoria talks to Leonard about using artificial intelligence for good, bringing the power of AI to local economics, and truly democratizing AI. The Artificial Intelligence Economic Development Corporation (AIEDC) Follow AIEDC on Twitter, Instagram, Facebook, or LinkedIn. Follow Leonard on Twitter and LinkedIn. Follow thoughtbot on Twitter or LinkedIn. Become a Sponsor of Giant Robots! Transcript: VICTORIA: This is The Giant Robots Smashing Into Other Giant Robots Podcast, where we explore the design, development, and business of great products. I'm your host, Victoria Guido. And with us today is Leonard S. Johnson or LS, Founder and CEO AIEDC, a 5G Cloud Mobile App Maker and Service Provider with Machine Learning to help small and midsize businesses create their own iOS and Android mobile apps with no-code or low-code so they can engage and service their customer base, as well as provide front and back office digitization services for small businesses. Leonard, thanks for being with us today. LEONARD: Thank you for having me, Victoria. VICTORIA: I should say LS, thank you for being with us today. LEONARD: It's okay. It's fine. VICTORIA: Great. So tell us a little more about AIEDC. LEONARD: Well, AIEDC stands for Artificial Intelligence Economic Development Corporation. And the original premise that I founded it for...I founded it after completing my postgraduate work at Stanford, and that was 2016. And it was to use AI for economic development, and therefore use AI for good versus just hearing about artificial intelligence and some of the different movies that either take over the world, and Skynet, and watch data privacy, and these other things which are true, and it's very evident, they exist, and they're out there. But at the end of the day, I've always looked at life as a growth strategy and the improvement of what we could do and focusing on what we could do practically. You do it tactically, then you do it strategically over time, and you're able to implement things. That's why I think we keep building collectively as humanity, no matter what part of the world you're in. VICTORIA: Right. So you went to Stanford, and you're from South Central LA. And what about that background led you to pursue AI for good in particular? LEONARD: So growing up in the inner city of Los Angeles, you know, that South Central area, Compton area, it taught me a lot. And then after that, after I completed high school...and not in South Central because I moved around a lot. I grew up with a single mother, never knew my real father, and then my home life with my single mother wasn't good because of just circumstances all the time. And so I just started understanding that even as a young kid, you put your brain...you utilize something because you had two choices. It's very simple or binary, you know, A or B. A, you do something with yourself, or B, you go out and be social in a certain neighborhood. And I'm African American, so high probability that you'll end up dead, or in a gang, or in crime because that's what it was at that time. It's just that's just a situation. Or you're able to challenge those energies and put them toward a use that's productive and positive for yourself, and that's what I did, which is utilizing a way to learn. I could always pick up things when I was very young. And a lot of teachers, my younger teachers, were like, "You're very, very bright," or "You're very smart." And there weren't many programs because I'm older than 42. So there weren't as many programs as there are today. So I really like all of the programs. So I want to clarify the context. Today there's a lot more engagement and identification of kids that might be sharper, smarter, whatever their personal issues are, good or bad. And it's a way to sort of separate them. So you're not just teaching the whole group as a whole and putting them all in one basket, but back then, there was not. And so I just used to go home a lot, do a lot of reading, do a lot of studying, and just knick-knack with things in tech. And then I just started understanding that even as a young kid in the inner city, you see economics very early, but they don't understand that's really what they're studying. They see economics. They can see inflation because making two ends meet is very difficult. They may see gang violence and drugs or whatever it might end up being. And a lot of that, in my opinion, is always an underlining economic foundation. And so people would say, "Oh, why is this industry like this?" And so forth. "Why does this keep happening?" It's because they can't function. And sometimes, it's just them and their family, but they can't function because it's an economic system. So I started focusing on that and then went into the Marine Corps. And then, after the Marine Corps, I went to Europe. I lived in Europe for a while to do my undergrad studies in the Netherlands in Holland. VICTORIA: So having that experience of taking a challenge or taking these forces around you and turning into a force for good, that's led you to bring the power of AI to local economics. And is that the direction that you went eventually? LEONARD: So economics was always something that I understood and had a fascination prior to even starting my company. I started in 2017. And we're crowdfunding now, and I can get into that later. But I self-funded it since 2017 to...I think I only started crowdfunding when COVID hit, which was 2020, and just to get awareness and people out there because I couldn't go to a lot of events. So I'm like, okay, how can I get exposure? But yeah, it was a matter of looking at it from that standpoint of economics always factored into me, even when I was in the military when I was in the Marine Corps. I would see that...we would go to different countries, and you could just see the difference of how they lived and survived. And another side note, my son's mother is from Ethiopia, Africa. And I have a good relationship with my son and his mother, even though we've been apart for over 15 years, divorced for over 15 years or so or longer. But trying to keep that, you can just see this dichotomy. You go out to these different countries, and even in the military, it's just so extreme from the U.S. and any part of the U.S, but that then always focused on economics. And then technology, I just always kept up with, like, back in the '80s when the mobile brick phone came out, I had to figure out how to get one. [laughs] And then I took it apart and then put it back together just to see how it works, so yeah. But it was a huge one, by the way. I mean, it was like someone got another and broke it, and they thought it was broken. And they're like, "This doesn't work. You could take this piece of junk." I'm like, "Okay." [laughs] VICTORIA: Like, oh, great. I sure will, yeah. Now, I love technology. And I think a lot of people perceive artificial intelligence as being this super futuristic, potentially harmful, maybe economic negative impact. So what, from your perspective, can AI do for local economics or for people who may not have access to that advanced technology? LEONARD: Well, that's the key, and that's what we're looking to do with AIEDC. When you look at the small and midsize businesses, it's not what people think, or their perception is. A lot of those in the U.S. it's the backbone of the United States, our economy, literally. And in other parts of the world, it's the same where it could be a one or two mom-and-pop shops. That's where that name comes from; it's literally two people. And they're trying to start something to build their own life over time because they're using their labor to maybe build wealth or somehow a little bit not. And when I mean wealth, it's always relative. It's enough to sustain themselves or just put food on the table and be able to control their own destiny to the best of their ability. And so what we're looking to do is make a mobile app maker that's 5G that lives in the cloud, that's 5G compliant, that will allow small and midsize businesses to create their own iOS or Android mobile app with no-code or low-code, basically like creating an email. That's how simple we want it to be. When you create your own email, whether you use Microsoft, Google, or whatever you do, and you make it that simple. And there's a simple version, and there could be complexity added to it if they want. That would be the back office digitization or customization, but that then gets them on board with digitization. It's intriguing that McKinsey just came out with a report stating that in 2023, in order to be economically viable, and this was very recent, that all companies would need to have a digitization strategy. And so when you look at small businesses, and you look at things like COVID-19, or the COVID current ongoing issue and that disruption, this is global. And you look at even the Ukrainian War or the Russian-Ukrainian War, however you term it, invasion, war, special operation, these are disruptions. And then, on top of that, we look at climate change which has been accelerating in the last two years more so than it was prior to this that we've experienced. So this is something that everyone can see is self-evident. I'm not even focused on the cause of the problem. My brain and the way I think, and my team, we like to focus on solutions. My chairman is a former program director of NASA who managed 1,200 engineers that built the International Space Station; what was it? 20-30 years ago, however, that is. And he helped lead and build that from Johnson Center. And so you're focused on solutions because if you're building the International Space Station, you can only focus on solutions and anticipate the problems but not dwell on them. And so that kind of mindset is what I am, and it's looking to help small businesses do that to get them on board with digitization and then in customization. And then beyond that, use our system, which is called M.I.N.D. So we own these...we own patents, three patents, trademarks, and service marks related to artificial intelligence that are in the field of economics. And we will utilize DEVS...we plan to do that which is a suite of system specifications to predict regional economic issues like the weather in a proactive way, not reactive. A lot of economic situations are reactive. It's reactive to the Federal Reserve raising interest rates or lowering rates, Wall Street, you know, moving money or not moving money. It is what it is. I mean, I don't judge it. I think it's like financial engineering, and that's fine. It's profitability. But then, at the end of the day, if you're building something, it's like when we're going to go to space. When rockets launch, they have to do what they're intended to do. Like, I know that Blue Origin just blew up recently. Or if they don't, they have a default, and at least I heard that the Blue Origin satellite, if it were carrying passengers, the passengers would have been safe because it disembarked when it detected its own problem. So when you anticipate these kinds of problems and you apply them to the local small business person, you can help them forecast and predict better like what weather prediction has done. And we're always improving that collectively for weather prediction, especially with climate change, so that it can get to near real-time as soon as possible or close a window versus two weeks out versus two days out as an example. VICTORIA: Right. Those examples of what you call a narrow economic prediction. LEONARD: Correct. It is intriguing when you say narrow economic because it wouldn't be narrow AI. But it would actually get into AGI if you added more variables, which we would. The more variables you added in tenancies...so if you're looking at events, the system events discretion so discrete event system specification you would specify what they really, really need to do to have those variables. But at some point, you're working on a system, what I would call AGI. But AGI, in my mind, the circles I run in at least or at least most of the scientists I talk to it's not artificial superintelligence. And so the general public thinks AGI...and I've said this to Stephen Ibaraki, who's the founder of AI for Good at Global Summit at the United Nations, and one of his interviews as well. It's just Artificial General Intelligence, I think, has been put out a lot by Hollywood and entertainment and so forth, and some scientists say certain things. We won't be at artificial superintelligence. We might get to Artificial General Intelligence by 2030 easily, in my opinion. But that will be narrow AI, but it will cover what we look at it in the field as cross-domain, teaching a system to look at different variables because right now, it's really narrow. Like natural language processing, it's just going to look at language and infer from there, and then you've got backward propagation that's credit assignment and fraud and detection. Those are narrow data points. But when you start looking at something cross-domain...who am I thinking of? Pedro Domingos who wrote the Master Algorithm, which actually, Xi Jinping has a copy of, the President of China, on his bookshelf in his office because they've talked about that, and these great minds because Stephen Ibaraki has interviewed these...and the founder of Google Brain and all of these guys. And so there's always this debate in the scientific community of what is narrow AI what it's not. But at the end of the day, I just like Pedro's definition of it because he says the master algorithm will be combining all five, so you're really crossing domains, which AI hasn't done that. And to me, that will be AGI, but that's not artificial superintelligence. And artificial superintelligence is when it becomes very, you know, like some of the movies could say, if we as humanity just let it run wild, it could be crazy. VICTORIA: One of my questions is the future of AI more like iRobot or Bicentennial Man? LEONARD: Well, you know, interesting. That's a great question, Victoria. I see most of AI literally as iRobot, as a tool more than anything, except at the end when it implied...so it kind of did two things in that movie, but a wonderful movie to bring up. And I like Will Smith perfectly. Well, I liked him a lot more before -- VICTORIA: I think iRobot is really the better movie. LEONARD: Yeah, so if people haven't seen iRobot, I liked Will Smith, the actor. But iRobot showed you two things, and it showed you, one, it showed hope. Literally, the robot...because a lot of people put AI and robots. And AI by itself is the brain or the mind; I should say hardware are the robots or the brain. Software...AI in and of itself is software. It's the mind itself. That's why we have M.I.N.D Machine Intelligence NeuralNetwork Database. We literally have that. That's our acronym and our slogan and everything. And it's part of our patents. But its machine intelligence is M.I.N.D, and we own that, you know; the c…
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