High Signal Podcasts Evidence ledger
Method
Browse
← Back to evidence

Evidence receipt / prediction

Published · transcript-backed

Jessica Wade: prediction

5 Apr 2023 Conversations with Tyler Jessica Wade on Chiral Materials, Open Knowledge, and Representation in STEM

“This is entirely in my head at the moment, so I don’t know if it’s what could be at all useful. But potentially, in allocating scientific funding so that it’s less biased — because at the moment, you have a bias about nationality, gender, institution — but if you asked an AI to learn from what has been a successful proposal before and what’s gone on to actually impact the world, and then use that and try to get it to assess science funding and who should get what, maybe it could be useful and less biased there.”

— Jessica Wade

Source trail

Everything needed to verify it.

Speaker
Jessica Wade
Attribution
Verified speaker
Claim type
prediction
Recorded
5 Apr 2023
Publisher
Conversations with Tyler

Transcript context

…It could make it worse, possibly. It could make it worse. You could use it in quite an effective way, I suppose. This is entirely in my head at the moment, so I don’t know if it’s what could be at all useful. But potentially, in allocating scientific funding so that it’s less biased — because at the moment, you have a bias about nationality, gender, institution — but if you asked an AI to learn from what has been a successful proposal before and what’s gone on to actually impact the world, and then use that and try to get it to assess science funding and who should get what, maybe it could be useful and less biased there. But again, it depends on the data that we’re feeding it. If ChatGPT can just reproduce these DEI statements, isn’t that an indictment of those statements?…

Stored transcript either side of the excerpt. The highlighted words are the published quote; the surrounding text is unedited source, never generated.

Search evidence