Transcripts of interviews with AI researchers
tldr: I conducted a series of interviews with 11 AI reseachers to discuss AI safety, which are located here: TRANSCRIPTION LINK. If you are interested in doing outreach with AI researchers, I highly recommend taking a look!
[Cross-posted to LessWrong.]
I recently conducted a series of interviews with 11 AI researchers, wherein I laid out some reasons to be concerned about long-term risks from AI.
These semi-structured interviews were 40-60 minutes long and conducted on Zoom. Interviewees were cold-emailed, were paid for their participation, and agreed that I may share their anonymized transcripts.
Six of the interviews were with researchers who had papers accepted at NeurIPS or ICML in 2021. Five of the interviews were with researchers who were informally categorized as “particularly useful to talk to about their opinions about safety” (generally more senior researchers at specific organizations).
I’m attaching the raw transcripts from these 11 interviews, at the following link. I’ve also included the approximate script I was following, post-interview resources I sent to interviews, and informal interview notes in the associated “README” doc. Ideally I’d have some analysis too, and hopefully will in the future. However, I think it’s useful— particularly for people who plan to start similar projects— to read through a couple of these interviews, to get an intuitive feel for what conversations with established AI researchers can feel like.
Note: I also interviewed 86 researchers for a more complete academic, under-IRB study (whose transcripts won’t be released publicly), whose results will be posted about separately on LessWrong once I finish analyzing the data. There will be substantially more analysis and details in that release; this is just to get some transcripts out quickly. As such, I won’t be replying to a lot of requests for details here.
Thanks to Sam Huang, Angelica Belo, and Kitt Morjanova, who helped clean up the transcripts!
I worry that sometimes young EAs think of researchers like a crowd of young, influenceable proto-EAs. One of my models about community-building in general is that there’s many types of people, some who will be markedly more sympathetic to AI safety arguments than others, and saying the same things that would convince an EA to someone whose values don’t align will not be fruitful. A second model is that older people who are established in their careers will have more formalized world models and will be more resistance to change. This means that changing one’s mind requires much more of a dialogue and integration of ideas into a world model than with younger people. The thing I want to say overall: I think changing minds takes more careful, individual-focused or individual-type-focused effort than would be expected initially.
I think one’s attitude as an interviewer matters a lot for outcomes. Like in therapy, which is also about changing beliefs and behaviors, I think the relationship between the two people substantially influences openness to discussion, separate from the persuasiveness of the arguments. I also suspect interviewers might have to be decently “in-group” to have these conversations with interviewees. However, I expect that that in-group-ness could take many forms: college students working under a professor in their school (I hear this works for the AltProtein space), graduate students (faculty frequently do report their research being guided by their graduate students) or colleagues. In any case, I think the following probably helped my case as an interviewer: I typically come across as noticeably friendly (also AFAB), decently-versed in AI and safety arguments, and with status markers. (Though this was not a university-associated project, I’m a postdoc at Stanford who did some AI work at UC Berkeley).
I’d be very excited if someone wants to take my place and continue on this project with one-on-one discussions with researchers. There’s a good chance I won’t have time to do this anymore, but I’m still very enthusiastic about this project. If you think you’d be a good fit, please reach out (firstname.lastname@example.org)! Things that help: friendliness, as much familiarity with AI arguments as you can manage (I also learned a lot about gaps in my models through these interviews), conscientiousness, and some way to get access to researchers. Extroversion would have helped me a lot too, but can’t have everything.