charles_m

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Regulate or Compete? The China Factor in U.S. AI Policy (NAIR #2)

This post was published as part of the 2nd edition of Navigating AI Risks, a newsletter about the governance of transformative AI risks written by @simeon_c, @Henry Papadatos, and me. Feel free to submit your feedback on the newsletter here. Summary The supposed trade-off between regulation and technology leadership is...

May 5, 2023•2

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charles_m — LessWrong

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charles_m

Regulate or Compete? The China Factor in U.S. AI Policy (NAIR #2)

May 5, 2023•2

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Regulate or Compete? The China Factor in U.S. AI Policy (NAIR #2)

charles_m

This post was published as part of the 2nd edition of Navigating AI Risks, a newsletter about the governance of transformative AI risks written by @simeon_c, @Henry Papadatos, and me. Feel free to submit your feedback on the newsletter here.

Summary

The supposed trade-off between regulation and technology leadership is widely put forward as an argument for avoiding regulation. But currently, preservation by the US of its AI leadership over China need not come at the cost of effective AI governance.

In the context of US-China strategic competition, two key variables define policymakers' risk-benefit analysis regarding AI regulation:

the desirability of AI regulation and its impact on innovation capacity
whether the United States is on course to

... (read 1873 more words →)

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charles_m

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Regulate or Compete? The China Factor in U.S. AI Policy (NAIR #2)

charles_m

charles_m

charles_m

Regulate or Compete? The China Factor in U.S. AI Policy (NAIR #2)

Summary