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Gregory Allen, Director of the Wadhwani Center for AI and Advanced Technologies, discusses the bipartisan roadmap for AI policy, the debate on regulating AI in different sectors like autonomous cars, challenges of transparency in AI algorithms, and the differing US and EU approaches to AI regulation. The podcast also delves into the impact of AI on elections, the political landscape around AI regulation, and considerations for the competitive AI landscape.
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Quick takeaways
- Regulating AI focuses on deepfakes in elections to address interference issues.
- Challenges in AI regulation involve issues of transparency, bias, and systemic risks.
Deep dives
Challenges in Congressional Understanding of Big Tech
Congress often struggles with the complexities of regulating big tech firms, highlighting the need for more informed policymaking. An AI policy roadmap proposed by a group of senators emphasizes the importance of allocating $32 billion annually for AI research and enforcing legislation against deepfakes in elections, while opting for piecemeal approach to AI legislation, sparking criticism for being too vague.
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Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode