AI Bias: Consequences and Mitigation

This report examines the problem of AI bias and its real-world consequences across healthcare, employment, criminal justice, and international information operations; it cites case studies (biased medical algorithms, Amazon's hiring model, COMPAS recidivism issues) and highlights a large-scale 'Pravda' disinformation network that may be poisoning LLMs, then recommends mitigations—diverse data, transparency, ethical collaboration, and continuous monitoring—and describes HackerOne's AI red-teaming and bias-bounty efforts.