Governments should invest in strategies that can help them detect and prepare for time-sensitive AI risks. Governments should have ways to detect threats that would require immediate intervention & have preparedness plans for how they can effectively respond to various acute risk scenarios.
We included a summary of Situational Awareness as an optional reading! I guess I thought the full thing was a bit too long to ask people to read. Thanks for the other recs!
It’s quite hard to summarize AI governance in a few readings. With that in mind, here are some AI governance ideas/concepts/frames that I would add:
Emergency Preparedness (Wasil et al; exec summary + policy proposals − 3 mins)
Governments should invest in strategies that can help them detect and prepare for time-sensitive AI risks. Governments should have ways to detect threats that would require immediate intervention & have preparedness plans for how they can effectively respond to various acute risk scenarios.
Safety cases (Irving − 3 mins; see also Clymer et al)
Labs should present arguments that AI systems are safe within a particular training or deployment context.
(Others that I don’t have time to summarize but still want to include:)
Policy ideas for mitigating AI risk (Larsen)
Hardware-enabled governance mechanisms (Kulp et al)
Verification methods for international AI agreements (Wasil et al)
Situational awareness (Aschenbrenner)
A Narrow Path (Miotti et al)
We included a summary of Situational Awareness as an optional reading! I guess I thought the full thing was a bit too long to ask people to read. Thanks for the other recs!