Letting people affected by AI decisions help define what is fair

A new study argues that fairness in AI systems, like those used for credit scores, should be defined by the people they impact, not just by technical experts. In a study with 18 participants, people created their own concrete fairness rules using a prototype tool. The research found a diverse range of personal fairness criteria, showing that affected individuals can effectively shape how AI fairness is assessed and improved.