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How Stanford HAI Defines Human-Centered AI

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Manage episode 481368940 series 2503113
Content provided by Metis Strategy. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Metis Strategy or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

How should global leaders govern artificial intelligence responsibly without stifling innovation?

In this episode, Russell Wald, Executive Director at Stanford HAI, joins Peter High to explore how universities, policymakers, and industry must collaborate to keep AI human-centered. Wald shares takeaways from the AI Index, explains how China is narrowing the performance gap, and outlines why academic institutions are vital to ethical AI leadership.

Key highlights include:

  • HAI’s concentric model of human-centered design
  • The AI Index’s global benchmarking methodology
  • Why China is narrowing the frontier AI performance gap
  • The pivotal role of public investment in universities
  • How ethics reviews are embedded in HAI’s research lifecycle
  continue reading

351 episodes

Artwork
iconShare
 
Manage episode 481368940 series 2503113
Content provided by Metis Strategy. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Metis Strategy or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

How should global leaders govern artificial intelligence responsibly without stifling innovation?

In this episode, Russell Wald, Executive Director at Stanford HAI, joins Peter High to explore how universities, policymakers, and industry must collaborate to keep AI human-centered. Wald shares takeaways from the AI Index, explains how China is narrowing the performance gap, and outlines why academic institutions are vital to ethical AI leadership.

Key highlights include:

  • HAI’s concentric model of human-centered design
  • The AI Index’s global benchmarking methodology
  • Why China is narrowing the frontier AI performance gap
  • The pivotal role of public investment in universities
  • How ethics reviews are embedded in HAI’s research lifecycle
  continue reading

351 episodes

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