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Equity

Is there a right way to regulate AI? (w. Helen Toner)

Aug 21, 2024
Helen Toner, director of strategy and foundational research grants at the Center of Security and Emerging Technology and a former OpenAI board member, dives deep into the intricacies of AI regulation. She discusses the need for robust external oversight versus self-regulation by AI firms. The conversation highlights how existing laws interact with emerging AI technologies and emphasizes the importance of trust and accountability. Toner also explores the distinct challenges faced by startups in navigating this evolving regulatory landscape.
18:20

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Podcast summary created with Snipd AI

Quick takeaways

  • Self-regulation in AI is seen as insufficient, necessitating cooperation with various stakeholders to navigate regulatory complexities and ensure safety.
  • Concerns about overreaching AI regulations threaten innovation, highlighting the need for a balanced approach through collaboration with policymakers and transparency.

Deep dives

The Necessity of AI Regulation

Self-regulation in AI development is largely viewed as insufficient for ensuring the safe and responsible advancement of artificial intelligence technologies. Companies aiming to build highly advanced AI systems, particularly artificial general intelligence, are encouraged to engage with a variety of stakeholders to navigate the complexities of regulation. It is acknowledged that existing regulations across sectors, such as healthcare and finance, already govern AI applications, emphasizing that there isn't an exclusive AI regulatory framework. The conversation stresses the need for careful consideration and dialogue regarding how regulations could evolve to address both innovation and public safety.

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