Tyler Cowen, an economist, is advocating for a measured approach to regulating artificial intelligence (AI). He notes that while there have been recent breakthroughs in AI, including Stripe's declaration of the "singularity," where AI can improve itself beyond human contribution, there are also risks associated with overregulating the technology. Cowen suggests that AI developers and experts are working on proposals to promote AI safety without giving too much control to the federal government.
He cites Dean Ball, head of strategic futures at OpenAI and a former senior White House policy adviser, as having contributed to these ideas. The debate around regulating AI is centered in Washington and Silicon Valley, with some advocating for "pacing" or slowing down the rate of AI progress due to concerns about risks.
In related news, Tim Fist, writing on the blog Noahpinion, outlines 23 policy recommendations for regulating AI, including setting thresholds for unacceptable risk from AI systems, requiring human oversight during automated R&D, and allocating resources between capability research and monitoring and control techniques.
the harm caused by overregulating it would likely be much worse for the public
| Signal | Value | Weight |
|---|---|---|
| Correction rate | 0.000 | 0.4 |
| Uncertainty density | 0.077 | 0.25 |
| Assertive mismatch rate | 0.000 | 0.35 |