ai bias - Adjacent

Nov 6

Medical records underrepresent women's symptoms, skewing AI training data

Source: STAT

Women's underdiagnosis and dismissal in clinical settings mean the medical records used to train AI diagnostic systems encode existing gender biases at scale—perpetuating rather than correcting them. AI trained on incomplete female health data will likely continue to miss conditions disproportionately affecting women, from autoimmune diseases to cardiac events. Digitizing biased medical records and then automating decisions based on them gives institutional bias computational permanence.

theme-culture regulation/policy ai bias employment law

Jun 23

Judge allows first major lawsuit targeting AI hiring discrimination

Source: The Next Web

A California court's decision to move forward with a class action against Workday marks the first significant legal test of whether employment algorithms can be sued directly for discriminatory outcomes, rather than just the companies deploying them. This creates tangible liability exposure for enterprise software vendors—not just end-user employers—potentially forcing Workday and competitors to defend their black-box hiring tools in discovery, where training data biases and model performance disparities across protected classes will be exposed. Courts are treating algorithmic discrimination as a distinct legal harm, which could change how HR software is designed, audited, and sold.