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a16z VC Martin Casado explains why so many AI regulations are so wrong | TechCrunch

Nov 10, 2024 - techcrunch.com
Andreessen Horowitz general partner VC Martin Casado criticized attempts at AI regulation, arguing that lawmakers are focusing on a mythical future AI experience rather than understanding the new risks AI actually introduces. Speaking at TechCrunch Disrupt 2024, Casado, who leads a16z’s $1.25 billion infrastructure practice, criticized the lack of clear definitions for AI in policies and expressed relief when California Gov. Gavin Newsom vetoed the state’s attempted AI governance law, SB 1047. He warned against the potential for more poorly constructed bills if politicians pander to public fears of AI rather than understanding the technology's actual implications.

Casado, who has a deep understanding of AI technology from his experience in founding companies and working in computer security, argued that many proposed AI regulations did not come from those who understand AI tech best. He believes that existing regulatory bodies, developed over 30 years, are well-equipped to construct new policies for AI and other tech. He also argued against targeting AI for issues caused by other technologies, stating that if problems arose in social media, they should be addressed there, not in AI.

Key takeaways:

  • Andreessen Horowitz general partner VC Martin Casado argues that current attempts to regulate AI are misguided, focusing on hypothetical future scenarios rather than understanding the actual risks posed by AI.
  • Casado criticizes the recent California bill, SB 1047, which aimed to introduce a 'kill switch' for large AI models, arguing that it was poorly worded and could have hindered AI development in the state.
  • He believes that AI regulation should be informed by those who understand the technology best, including academics and the commercial sector, and should address the specific risks posed by AI, rather than being based on fears or misconceptions.
  • Casado argues that existing regulatory bodies, developed over the past 30 years, are well-equipped to construct new policies for AI and other technologies, and that issues with other technologies should not be used as a reason to target AI for regulation.
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