How a policing algorithm quietly learned racial bias

Ask one question that exposes a hollow vendor promise: if this claim were false, would the evidence look any different? PredPol's maker said math has no race. In a simulation on Oakland drug data, it sent police to Black residents at about twice the rate of white ones. • Spot the feedback loop where a system's own outputs get passed off as proof that it works. • See why deleting the gender field does not stop a hiring model from treating women unfairly. • End your review with one cheap test that settles the truth, not a flat no the board can overrule. Think you've got it? Prove it inside the program, where it goes on a record employers can check. Free to start: https://www.gage.academy/lessons/ai-g... (https://www.gage.academy/lessons/ai-g...) Where this skill is hired: AI Evaluation Specialist (https://www.gage.academy/careers/ai-e...) , AI Model Validator (https://www.gage.academy/careers/ai-m...) . Episode 86 of 98 in AI Governance, the Certified AI Governance Professional (CAIGP) program from GAGE (Global Academy of Generative-AI Education). https://www.gage.academy/programs/ai-... (https://www.gage.academy/programs/ai-...)