Algorithmic bias
Algorithmic bias is when an automated system produces systematically worse or unfair results for some groups of people, often because its training data under-represents them or reflects past discrimination. A 2018 audit of commercial face-analysis software found error rates far higher for darker-skinned women than for lighter-skinned men.
Why it comes up
Gebru co-wrote that audit (Gender Shades) and argues that documented harms like these deserve more attention than speculative extinction scenarios.
Timnit Gebru
Emily M. Bender