Artificial Intelligence and You

When you combine anthropologist, filmmaker, and geek, you get Beth Singler, Research Fellow in Artificial Intelligence at the University of Cambridge. Beth explores the social, ethical, philosophical and religious implications of advances in artificial intelligence and robotics and has produced some dramatic documentaries about our relationship with AI: Pain in the Machine and its sequels, Friend in the Machine, Good in the Machine, and Ghost in the Machine.

All this plus our usual look at today's AI headlines. 

Transcript and URLs referenced at HumanCusp Blog.

When you combine anthropologist, filmmaker, and geek, you get Beth Singler, Research Fellow in Artificial Intelligence at the University of Cambridge. Beth explores the social, ethical, philosophical and religious implications of advances in artificial intelligence and robotics and has produced some dramatic documentaries about our relationship with AI: Pain in the Machine and its sequels, Friend in the Machine, Good in the Machine, and Ghost in the Machine.

All this plus our usual look at today's AI headlines. 

Transcript and URLs referenced at HumanCusp Blog.

Steve Shwartz is a serial software entrepreneur and investor, with a PhD from Johns Hopkins university in cognitive science and did postdoc research in AI at Yale. He is the author of the new book Evil Robots, Killer Computers, and Other Myths: The Truth About AI and the Future of Humanity, published by Fast Company Press on February 9. In part 2 of our interview, we talk about "artificial intelligence and natural stupidity" (we had to get that one in eventually, didn't we?), impacts on employment and Steve's take on the Oxford Martin study, and... common sense.

All this plus our usual look at today's AI headlines. 

Transcript and URLs referenced at HumanCusp Blog.

Steve Shwartz is a serial software entrepreneur and investor, with a PhD from Johns Hopkins university in cognitive science and did postdoc research in AI at Yale. He is the author of the new book Evil Robots, Killer Computers, and Other Myths: The Truth About AI and the Future of Humanity, published by Fast Company Press on February 9. We talk about bias, explainability, and other current problems with machine learning, plus... horse racing.

All this plus our usual look at today's AI headlines. 

Transcript and URLs referenced at HumanCusp Blog.

We continue the interview with Michael Wooldridge, head of the Oxford University Computer Science department and author of A Brief History of Artificial Intelligence, an introductory look at AI, published Jan 2021 by Flatiron Books. He's been working on AI for 30 years and specializes in multi-agent systems, which we talk about. He's written over 400 articles and nine books, including the Ladybird Expert Guide to Artificial Intelligence. We cover a huge amount of ground, from autonomous weapons and self-driving cars, to Michael's work on multi-agent systems and the potential for my Siri to talk to your Alexa.

All this plus our usual look at today's AI headlines. 

Transcript and URLs referenced at HumanCusp Blog.

My guest this week is Michael Wooldridge, head of the Oxford University Computer Science department and author of A Brief History of Artificial Intelligence, an introductory look at AI, published last month by Flatiron Books. He's been working on AI for 30 years and specializes in multi-agent systems, which we talk about. He's written over 400 articles and nine books, including the Ladybird Expert Guide to Artificial Intelligence. We cover a huge amount of ground, from the changes in AI to ways of judging artificial general intelligence, to challenges that AI faces in dealing with the real world.

All this plus our usual look at today's AI headlines.  Here's the link to my live class mentioned in the episode: https://bit.ly/UVicAIandYou

Transcript and URLs referenced at HumanCusp Blog.

"What is AI?" That question is one of the ones in the opening credits of this podcast, and in this episode, I'm going to give you a whistle-stop tour of what AI is. No computer experience required; if you've no idea how AI is built and what makes it tick, this will get you off to a good start. If you've already got some chops in computer software, then this episode may help you grasp how to explain AI to your friends. I'll go from the beginnings of GOFAI to the latest capsule networks, talking about how they're built and some of their limitations.

All this plus our usual look at today's AI headlines.

Transcript and URLs referenced at HumanCusp Blog.

I promised to expand on my last TEDx talk (https://www.ted.com/talks/peter_j_scott_how_to_save_us_from_being_left_behind_by_ai), and this is that episode. If you're an aspiring public speaker, you'll hear what went into creating the talk, the inspirations and reasons behind every word, the cycle of how it was built and modified in response to feedback.

If you're interested in the ideas that it raised, this episode expands on those and gives you more insight into how AI is setting the pace of life and what that means. Are we on an unsustainable path? How would we get off it?

Transcript and URLs referenced at HumanCusp Blog.