Will AI Result in Mass Unemployment or a New Middle Class?
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Luis Perez-Breva, a professor at MIT, thinks that we've probably been watching too many Terminator movies for us to really understand what AI actually is. It will (hopefully) (knock on wood) be much less hyper-intelligent humanoid killing machines and more of a sidekick role. Luis brings up a great point that many in the AI world gloss over: that we saw this kind of so-called "job killing" a century ago when Henry Ford created automation in the workplace; Luis posits that it won't be that much different than we're used to and that mankind should be creative enough to figure out how to assimilate human jobs and AI side by side. Luis Perez-Breva's new book is Innovating: A Doer's Manifesto for Starting from a Hunch, Prototyping Problems, Scaling Up, and Learning to Be Productively Wrong.
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LUIS PEREZ-BREVA
Luis Perez-Breva, PhD, is an expert in the process of technology innovation, an entrepreneur, and the the author of Innovating: A Doer’s Manifesto for Starting from a Hunch, Prototyping Problems, Scaling Up, and Learning to Be Productively Wrong. (MIT Press 2017).
Currently Perez-Breva directs the MIT Innovation Teams Program, MIT’s flagship hands-on innovation program jointly operated between the Schools of Engineering and Management. During his tenure, i-Teams has shepherded over 170 MIT technologies to discover a path to impact.. He has taught innovating as a skill worldwide to professionals and students from all disciplines; and gotten them started innovating from pretty much anything: hunches, real-world problems, engineering problem sets, and research breakthroughs.
He is a serial innovator with successes in emergency cell phone location technologies currently deployed worldwide, and a fully automated portfolio allocation and trading system; and numerous other stories to share from his trial and error adventures to conceive artificial intelligence technologies that tackle real-world problems and drive them to market.
As an innovator and entrepreneur he has worked on cell phone location for emergency response and national security, genetics, healthcare intelligence, automated portfolio allocation, and developed several non-profit organizations, including building a new university centered around innovation. In 2011, the government of Spain recognized his career achievements with the Order of Civil Merit of the Kingdom of Spain.
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TRANSCRIPT:
Luis Perez-Breva: A lot of people are scared about AI. And the reason is I think we’ve seen too many Terminator movies. So we’re mixing many things up. So it is true Terminator is not the scenario we are planning for. But when it comes to artificial intelligence people get all these things confused. It’s robots, it’s awareness, it’s people smarter than us to some degree. So we’re effectively afraid of robots that will move and are stronger and smarter than we are, like Terminator. So that’s not our aspiration. That’s not what I do when I’m thinking about artificial intelligence. When I’m thinking about artificial intelligence I’m thinking about it in the same way that mass manufacturing has brought by forth created a whole new economy. So mass manufacturing allowed people to get new jobs that were unthinkable before. And those new jobs actually created the middle class. To me artificial intelligence is about developing... making computers better partners, effectively. And you’re already seeing that today. You’re already doing it except that it’s not really artificial intelligence. Today whenever you want to engage in a project you go to Google. Google uses advanced machine learning, really advanced.
And you engage in a very narrow conversation with Google except that your conversation is just key words. So a lot of your time is spent trying to come up with the actual key word that you need to find the information and Google gives you the information. And then you go out and try to make sense of it on your own and come back to Google for more. And then go back out and that’s the way it works. So imagine that instead of being a narrow conversations with key words you could actually engage for more and actual information meaning to have the computer reason with you about stuff that you may not know about. It’s not so much about the computer being aware.
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