Study finds AI hiring tools systematically favor candidates similar to their training data

Researchers documented how algorithmic hiring systems exhibit "self-preferencing"—biasing toward applicants matching their training dataset demographics. The finding matters for indie makers building HR or recruiting tools: algorithmic fairness isn't a nice-to-have feature, it's a concrete product liability if you're selling to enterprises.