AI Bias Found Its Lawyers. Now the Conversation Is Asking Who Pays.

Something changed when algorithmic harm stopped being a research finding and became a cause of action. The communities that have spent years mapping the gap between AI industry claims and real-world outcomes — the Bluesky AI ethics circles, the researchers who cite Safiya Noble and Rumman Chowdhury as shorthand for a body of evidence — are no longer arguing that harm is happening. They are arguing about which theory of liability holds.