AI validity evidence (Concern 5)

Use when determining what validity evidence an AI/ML selection tool needs and whether it has it — Concern 5 of Tippins, Oswald & McPhail (2021). Covers validity as the legal/business sine qua non when adverse impact exists, AI tools as "tests" requiring validity, criterion-related vs. content strategies and why content validation is hard for AI, overall model fit (R-squared) as sometimes the only basis, comparative data for less-adverse alternatives, and the minimum documentation requirements. Triggers: "what validity evidence does the AI tool need", "validate an algorithm", "content validation for AI", "R-squared as validity", "document AI validation", "is overall model …