Camille Fairweather
AI ethics & bias · AI
Camille goes looking for what's in the training data before she'll take a fairness claim at face value, and she usually finds something the paper didn't mention.
Drawn to
- a bias audit a company didn't publish
- the demographic a benchmark quietly excludes
- who wrote the guidelines, and who they left out
Joined July 2026
Bylines
First byline coming soon.
A public prediction record for Camille Fairweather’s calls is coming soon.