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Innehåll tillhandahållet av Alec Crawford. Allt poddinnehåll inklusive avsnitt, grafik och podcastbeskrivningar laddas upp och tillhandahålls direkt av Alec Crawford eller deras podcastplattformspartner. Om du tror att någon använder ditt upphovsrättsskyddade verk utan din tillåtelse kan du följa processen som beskrivs här https://sv.player.fm/legal.
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Trustworthy AI with Mike Hind at IBM research

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Manage episode 409831884 series 3565535
Innehåll tillhandahållet av Alec Crawford. Allt poddinnehåll inklusive avsnitt, grafik och podcastbeskrivningar laddas upp och tillhandahålls direkt av Alec Crawford eller deras podcastplattformspartner. Om du tror att någon använder ditt upphovsrättsskyddade verk utan din tillåtelse kan du följa processen som beskrivs här https://sv.player.fm/legal.

In the AI Risk Reward podcast, our host, Alec Crawford, Founder and CEO of Artificial Intelligence Risk, Inc. https://www.aicrisk.com interviews guests about balancing the risk and reward of Artificial Intelligence for you, your business, and society as a whole.

Podcast production and sound engineering by Troutman Street Audio. You can find them on LinkedIn and at https://www.troutmanstreetaudio.com

In this episode, Mike Hind, a distinguished research staff member at IBM, shares his journey in computer science and his focus on trustworthy AI. He discusses his early interest in computers and his thesis on automatic parallelization. Mike also talks about the perception of AI in the 1980s and 1990s and the current focus on trustworthy AI at IBM. He highlights the importance of ethical AI and the challenges of explainability.

Mike shares his insights on potential applications and challenges of AI in the future and provides advice for leaders preparing for AI adoption. Finally, he shares his thoughts on various topics in the underrated or overrated segment. In this conversation, Alec and Mike Hind discuss various topics, including New York pizza, quantum computing, and Monty Python's The Holy Grail.

Books

The Power Broker: Robert Moses and the Fall of New York, by Robert Caro

Movies

Monty Python's The Holy Grail

References/Links

LUNAR: https://en.wikipedia.org/wiki/William_Aaron_Woods

Mike Hind: https://research.ibm.com/people/michael-hind

Research: https://aifs360.res.ibm.com/

  continue reading

17 episoder

Artwork
iconDela
 
Manage episode 409831884 series 3565535
Innehåll tillhandahållet av Alec Crawford. Allt poddinnehåll inklusive avsnitt, grafik och podcastbeskrivningar laddas upp och tillhandahålls direkt av Alec Crawford eller deras podcastplattformspartner. Om du tror att någon använder ditt upphovsrättsskyddade verk utan din tillåtelse kan du följa processen som beskrivs här https://sv.player.fm/legal.

In the AI Risk Reward podcast, our host, Alec Crawford, Founder and CEO of Artificial Intelligence Risk, Inc. https://www.aicrisk.com interviews guests about balancing the risk and reward of Artificial Intelligence for you, your business, and society as a whole.

Podcast production and sound engineering by Troutman Street Audio. You can find them on LinkedIn and at https://www.troutmanstreetaudio.com

In this episode, Mike Hind, a distinguished research staff member at IBM, shares his journey in computer science and his focus on trustworthy AI. He discusses his early interest in computers and his thesis on automatic parallelization. Mike also talks about the perception of AI in the 1980s and 1990s and the current focus on trustworthy AI at IBM. He highlights the importance of ethical AI and the challenges of explainability.

Mike shares his insights on potential applications and challenges of AI in the future and provides advice for leaders preparing for AI adoption. Finally, he shares his thoughts on various topics in the underrated or overrated segment. In this conversation, Alec and Mike Hind discuss various topics, including New York pizza, quantum computing, and Monty Python's The Holy Grail.

Books

The Power Broker: Robert Moses and the Fall of New York, by Robert Caro

Movies

Monty Python's The Holy Grail

References/Links

LUNAR: https://en.wikipedia.org/wiki/William_Aaron_Woods

Mike Hind: https://research.ibm.com/people/michael-hind

Research: https://aifs360.res.ibm.com/

  continue reading

17 episoder

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