How face, gait, and voice became trackable identifiers — Clearview AI, error rates, and the stakes of a body you can't change.
Biometric surveillance identifies you by features you cannot change or leave at home — your face, gait, iris, voice. DOCUMENTED [Historical record]: Clearview AI scraped billions of public photos to build a face-search tool sold to law enforcement, drawing fines and bans in multiple jurisdictions; studies (including NIST evaluations) have shown higher error rates for women and darker-skinned faces, with real consequences (documented wrongful arrests from false matches). The deeper concern is structural: biometric IDs enable persistent, passive tracking across spaces, merging the once-separate streams of where you go, who you're with, and what you do. SPECULATIVE/EMERGING [Speculative]: the trajectory toward ubiquitous real-time recognition and its integration with other systems is contested and policy-dependent. The literate response pairs O'Neil's accountability demands (transparency, contestability, error auditing) with concrete civic choices about where this technology should simply be off-limits.
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