Lockheed Martin’s Chris Benson on Machine Meets World

“AI and ML are really about people.”

Chris Benson, Principal Emerging Technologies Strategist at Lockheed Martin, talks artificial intelligence with Infinia ML’s James Kotecki.

Machine Meets World streams live on YouTube weekly. It’s also available in audio form on Apple PodcastsGoogle PodcastsSpotify, and Stitcher.

Recorded live on August 18th, 2020.

Watch Episode Highlight Clips on LinkedIn

When it comes to AI, “it is up to every citizen to be aware of what is happening.”

Why does Chris Benson believe humans will eventually figure out artificial general intelligence? Because humans themselves are computational machines.

“AI and ML are really about people.”

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MIT Tech Review’s Karen Hao on Machine Meets World

Karen Hao, Senior AI Reporter at MIT Technology Review, talks artificial intelligence with Infinia ML’s James Kotecki.

Machine Meets World streams live on YouTube weekly. It’s also available in audio form on Apple PodcastsGoogle PodcastsSpotify, and Stitcher.

And be sure to check out Karen’s AI newsletter, The Algorithm.

Recorded August 4th, 2020.

Killer Quote

“It definitely feels urgent to have these conversations to constrain the way that we use AI, because the slower you are the more people that are harmed in the process. But it doesn’t necessarily mean that [AI decisions] are entirely irreversible if we wait too long.” [10:26]

More Highlights

The challenge of an AI ethics consensus [5:04]

On her recent article, “The problems AI has today go back centuries” [18:56]

The AGI (Artificial General Intelligence) Lightning Round! [26:56]

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Emerj CEO and Podcast Host Daniel Faggella on Machine Meets World

Daniel Faggella, CEO of Emerj Artificial Intelligence Research and host of two AI podcasts, talks (what else) AI with James Kotecki of Infinia ML.

Machine Meets World streams live on YouTube weekly. It’s also available in audio form on Apple PodcastsGoogle PodcastsSpotify, and Stitcher.

Recorded July 21st, 2020.

Killer Quote

“Executive AI fluency is the linchpin of why money is being wasted . . . . Without that grounding, we’re going to pick bad vendors. We’re going to get sold on value propositions that nobody can deliver on. We’re going to drastically underestimate the kind of teams and data infrastructure needs we’re going to have, and we’re going to blow money where it shouldn’t go.” (13:01)

More Highlights

The chasm between AI’s present and long-term implications. (5:55)

The business challenge of keeping pace with AI’s advancing capabilities. (17:30)

Why most companies could see “a net tick backwards from AI in the very near term.” (21:59)

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