1/ @AOC is completely on point. I used to work on face reco commercially (and having been on the wrong side of working on a biased model), I thought people might find helpful concrete examples of *some* of the ways face AI systems can come to be biased.
https://t.co/s8Y5E7OBFC
I have long admired @timnitGebru for her brilliance, moral courage, clear voice in speaking up for what is right, & influential scholarship. It is truly terrible that Google would do this.
In this thread, I want to share some of Timnit's work I love
https://t.co/9hi0f9nCe0
29/ p.s. There is a new paper out this week from Inioluwa Deborah Raji and Joy Buolamwini on the impact of the Gender Shades disclosure. Good reading. https://t.co/rdrziDgBd6
New @MIT study shows gender and racial bias in @amazon Rekognition AI product -100% accuracy on pale males vs 69% accuracy on women of color
https://t.co/lkWce4hR5a - Study link https://t.co/3aU83ETcRG @ACLU @Data4BlackLives @black_in_ai@medialab@AIESConf@AINowInstitute@AOC
1/ @AOC is completely on point. I used to work on face reco commercially (and having been on the wrong side of working on a biased model), I thought people might find helpful concrete examples of *some* of the ways face AI systems can come to be biased.
https://t.co/s8Y5E7OBFC
28/ p.s. Absolutely none of this thread is meant to represent the opinions of my employer.
p.p.s. I hope to see more legislators, beyond @AOC and @RonWyden, providing such sophisticated treatments of critically overlooked tech policy issues.