Our Guide to Community-Led AI Audits
Our new Guide to Community-Led AI Audits documents six independent audits conducted across four countries — audits that uncovered a parole algorithm producing statistically random outcomes for 7,713 prisoners; a facial recognition system that classified adult women with Down Syndrome as children as young as five; and a ride-hailing platform that was simply unavailable 27% of the time in Roma neighborhoods, while always available everywhere else.
This guide and gives advocates, funders, policymakers, and civil society organizations a tested, replicable model for meaningful AI accountability.
