FHI researcher - AI governance. PhD student at Oxford's Law department.

Wiki Contributions


How to succeed as an early-stage researcher: the “lean startup” approach

Thanks for the caveats Jan, I think that's helpful.

It's true that my views have been formed from within the field of AI governance, and I am open to the idea that they won't fully generalise to other fields. I have inserted a line in the introduction that clarifies this.

How to succeed as an early-stage researcher: the “lean startup” approach

Thanks for the comments!

Speaking from my experience in AI governance: There are some opportunities to work on projects that more experienced people have suggested. At GovAI we have recently made a list of ideas people should work on. People on the GovAI fellowship program have been given suggestions.

Overall, yes, I do think there are fewer such opportunities than it sounds like there are in technical areas. That makes sense to me, because for AI governance research projects, the vast majority of junior people don't yet have the skills necessary to execute the project to a high standard.

Another potential difference is that you don't get do-overs: the more senior person can't later write a paper that follows exactly the same idea but that's written to a much higher standard, because there's more of a requirement that each paper brings original ideas. (Perhaps in technical subjects you can say e.g. "previous authors have tried to get this method to work but the results weren't great, and we show that it actually works really well".)

Therefore, I don't think the problem is that we have bad norms.  The deeper issue is that we need to find ways of accelerating the very slow process of junior researchers learning how to execute research projects to a  high standard.