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Helen Toner: AI Safety in a World of Uncertainty

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Manage episode 440671796 series 3567138
Content provided by Kevin Werbach. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Kevin Werbach 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://podcastplayer.com/legal.

Join Professor Kevin Werbach in his discussion with Helen Toner, Director of Strategy and Foundational Research Grants at Georgetown’s Center for Security and Emerging Technology. In this episode, Werbach and Toner discuss how the public views AI safety and ethics and both the positive and negative outcomes of advancements in AI. We discuss Toner’s lessons from the unsuccessful removal of Sam Altman as the CEO of OpenAI, oversight structures to audit and approve the AI companies deploy, and the role of the government in AI accountability. Finally, Toner explains how businesses can take charge of their responsible AI deployment.

Helen Toner is the Director of Strategy and Foundational Research Grants at Georgetown’s Center for Security and Emerging Technology (CSET). She previously worked as a Senior Research Analyst at Open Philanthropy, where she advised policymakers and grantmakers on AI policy and strategy. Between working at Open Philanthropy and joining CSET, Helen lived in Beijing, studying the Chinese AI ecosystem as a Research Affiliate of Oxford University’s Center for the Governance of AI. From 2021-2023, she served on the board of OpenAI, the creator of ChatGPT.

Helen Toner’s TED Talk: How to Govern AI, Even if it’s Hard to Predict

Helen Toner on the OpenAI Coup “It was about trust and accountability” (Financial Times)

Want to learn more? Engage live with Professor Werbach and other Wharton faculty experts in Wharton's new Strategies for Accountable AI online executive education program. It's perfect for managers, entrepreneurs, and advisors looking to harness AI's power while addressing its risks

  continue reading

38 episodes

Artwork
iconShare
 
Manage episode 440671796 series 3567138
Content provided by Kevin Werbach. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Kevin Werbach 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://podcastplayer.com/legal.

Join Professor Kevin Werbach in his discussion with Helen Toner, Director of Strategy and Foundational Research Grants at Georgetown’s Center for Security and Emerging Technology. In this episode, Werbach and Toner discuss how the public views AI safety and ethics and both the positive and negative outcomes of advancements in AI. We discuss Toner’s lessons from the unsuccessful removal of Sam Altman as the CEO of OpenAI, oversight structures to audit and approve the AI companies deploy, and the role of the government in AI accountability. Finally, Toner explains how businesses can take charge of their responsible AI deployment.

Helen Toner is the Director of Strategy and Foundational Research Grants at Georgetown’s Center for Security and Emerging Technology (CSET). She previously worked as a Senior Research Analyst at Open Philanthropy, where she advised policymakers and grantmakers on AI policy and strategy. Between working at Open Philanthropy and joining CSET, Helen lived in Beijing, studying the Chinese AI ecosystem as a Research Affiliate of Oxford University’s Center for the Governance of AI. From 2021-2023, she served on the board of OpenAI, the creator of ChatGPT.

Helen Toner’s TED Talk: How to Govern AI, Even if it’s Hard to Predict

Helen Toner on the OpenAI Coup “It was about trust and accountability” (Financial Times)

Want to learn more? Engage live with Professor Werbach and other Wharton faculty experts in Wharton's new Strategies for Accountable AI online executive education program. It's perfect for managers, entrepreneurs, and advisors looking to harness AI's power while addressing its risks

  continue reading

38 episodes

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