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How to govern AI — even if it's hard to predict | Helen Toner

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Manage episode 430811423 series 43997
Content provided by TED Tech. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by TED Tech 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.

No one truly understands AI, not even experts, says Helen Toner, an AI policy researcher and former board member of OpenAI. But that doesn't mean we can't govern it. She shows how we can make smart policies to regulate this technology even as we struggle to predict where it's headed — and why the right actions, right now, can shape the future we want. After the talk, Sherrell expands on what’s needed to ensure that AI aligns with the best interests of humanity, without stifling innovation.

Want to help shape TED’s shows going forward? Fill out our survey!


Hosted on Acast. See acast.com/privacy for more information.

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452 episodes

Artwork
iconShare
 
Manage episode 430811423 series 43997
Content provided by TED Tech. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by TED Tech 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.

No one truly understands AI, not even experts, says Helen Toner, an AI policy researcher and former board member of OpenAI. But that doesn't mean we can't govern it. She shows how we can make smart policies to regulate this technology even as we struggle to predict where it's headed — and why the right actions, right now, can shape the future we want. After the talk, Sherrell expands on what’s needed to ensure that AI aligns with the best interests of humanity, without stifling innovation.

Want to help shape TED’s shows going forward? Fill out our survey!


Hosted on Acast. See acast.com/privacy for more information.

  continue reading

452 episodes

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