AI Bias Stems from Human Choices, Not Just Algorithms
AI bias is not merely a technical glitch but a result of human decisions in data collection, labeling, and system design. A lawsuit against Workday highlights how AI hiring tools may discriminate based on age, race, and disability. Researchers argue that technical fixes are insufficient without addressing the social and historical power imbalances embedded in AI ecosystems. Inclusive AI requires interdisciplinary approaches, diverse participation, and stronger governance to ensure fair distribution of benefits and harms.
