This interview podcast explores the complexities of AI regulation. Host Hannah Fry interviews Nicklas Lundblad, Google DeepMind's Head of Public Policy and Public Affairs, discussing various global approaches to AI regulation, including the EU's risk-based model and the US's cost-benefit approach. Lundblad emphasizes the need for a socio-technical approach, focusing on mitigating potential harms rather than solely regulating the technology itself, citing examples like bias in algorithms and the challenges of proving a technology's safety. He highlights the importance of ongoing dialogue between the private and public sectors to inform effective regulation and the need for building institutions and scientific understanding to assess AI capabilities and potential harms. The discussion concludes by emphasizing the lack of simple solutions and the need for continuous adaptation in navigating the rapid evolution of AI.
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