Cross-posted from my Substack.
Epistemic status: I’ve puzzled over this for a long time but I’m not sure I came to the right answers. I'm sharing this partly because it might help others work on resource allocation, but mostly because some smarter reader might tell me how to do it better.
TL;DR:
* I he...
With the AI windfall, mental health may be taken increasingly seriously by mainstream EA. There’s increasingly room to explore the cause area and answer some of the biggest uncertainties; at the same time, costs of the most effective interventions are continuing to fall. StrongMinds is now treating for ~$35, about a third of GiveWell’s best guess from a few years ago, and is expected to...
Nice paper on the technical ways you could monitor compute usage, but governance-wise, I think we're extremely behind on anything making an approach like this remotely plausible (unless I'm missing something, which I may well be).
If we put aside the question b) in the abstract, of getting international compliance, and just focus on a) national governments regulating this for their own citizens. This likely requires some kind of regulatory authority with the remit and the authority to do this. This includes information gathering powers, which require companies by law to give specified information to the regulator. Such powers are common in regulation. However, we do not have AI regulators or even tech regulators (with the exception of data protection whose remit is more specific). We have a bunch of sector regulators, and some cross-sectoral ones (such as data protection, competition etc). The closest regulatory regime to being able to legally do something like this that I'm aware of is the EU, via the EU's AI Act, still in draft. Under this horizontal legislation which is not sector specific it will regulate all high risk AI systems (the annexes stipulate examples of what they consider high-risk). However, they have not defined compute as a relevant risk parameter (to my knowledge, although I think they have a new thing on General Purpose AI systems which could put this in so you might want to influence that, but I'm not sure what their capacity to enforce looks like).
No other western government has a comparable AI regulation plan. The US have a voluntary risk management framework. The UK has a largely voluntary policy framework they're developing (although they are starting to introduce more tech regulation some of which will include AI regulation).
Of course there are other parts of governments than regulators - and I'd really like it if 'compute monitoring' started to pay attention to how differently these different parts might use such a capability. One advantage of regulators is that they have clear, specified, remits and transparency requirements they routinely balance with confidentiality obligations. Other government departments may have more latitude and less transparency.