Hi Max, thanks for the positive feedback and for the question.
I will ask our research team if they are aware of any specific papers I could point to; several of them are more familiar with this landscape than I am. My general idea that AI-enabled modeling would be beneficial is more from the very basic guess that given that AI is pretty good at coding, stuff that relies on coding might get a lot better if we had TAI. If thatâs right, then even if we donât see currently great examples of modeling work being useful now, it could nevertheless get a lot better sooner than we think.
Thanks for bringing up the usefulness sentence, I think I could have been a lot clearer there and will revise it in future versions. I think I mainly meant that I was less confident about what TAI would mean for infrastructure and academic influence, and so any possible implications for WAW strategy would be more tentative. However, thinking about it a bit more now, I think the two cases are a bit different.
For infrastructure: In part, I down-weighted this issue because I find the idea that the manufacturing explosion will allow every scientist to have a lab in their house less probable, at least on short timelines, than software-based takeoffs. But also, and perhaps more importantly, I generally think that on my list of reasons to do science within academia, 1 and 3 are stronger reasons than 2. Infrastructure can be solved with more money, while the others canât. So even if thinking about TAI caused me to throw out the infrastructure consideration, I might still choose to focus on growing WAWS inside academia, and that makes figuring out exactly what TAI means for infrastructure less useful for strategy.
For âacademic stamp of approvalâ: I think I probably just shouldnât have mentioned this here, because I do end up talking about legitimacy in the piece quite a bit. But hereâs an attempt at articulating more clearly what I was getting at:
Assume TAI makes academic legitimacy less important after TAI arrives.
You still want decision-makers to care about wild animal welfare before TAI arrives, so that they use it well etc.
Most decision-makers donât know much about WAW now, and one of the main pathways now that wildlife decision-makers become familiar with a new issue is through academia.
So, academic legitimacy is still useful in the interim.
And, if academic legitimacy is still important after TAI arrives, you also want to work on academic legitimacy now.
So, it isnât worth spending too much time thinking about how TAI will influence academic legitimacy, because youâd do the same thing either way.
That said, I find this argument suspiciously convenient, given that as an academic, of course Iâm inclined to think academic legitimacy is important. This is definitely an area where Iâm interested in getting more perspectives. At minimum, taking TAI seriously suggests to me that you should diversify the types of legitimacy you try to build, to better prepare for uncertainty.
Thank you for your comment! Itâs actually a topic of quite a lot of discussion for us, so I would love to connect on it. Iâll send you a DM soon.
Just for context, the main reason Iâve felt a little constrained to the US/âUK context is due to comparative advantage considerations, such as having staff who are primarily based in those countries/âspeaking English as our organizational common tongue/âbeing most familiar with those academic communities, etc.
I definitely think the WAW community, in general, should be investing much more outside of just US/âUK/âEUâbut am less sure whether it makes sense for WAI to do so, given our existing investments/âstrengths. But I could be convinced otherwise!
Even if we keep our main focus in the US/âUK, Iâd be very interested in hearing more about how WAI might be able to support the âpeople hungry to build the fieldâ in other countries, so that could be another thing to discuss.