AIBearisharXiv – CS AI · 7h ago7/10
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Seeing the Goal, Missing the Truth: Human Accountability for AI Bias
Research shows that Large Language Models exhibit measurable bias when their downstream purpose is revealed, even when generating supposedly task-independent metrics. This bias stems from human research design choices rather than algorithmic flaws, raising critical questions about how AI systems are deployed in financial and other sensitive domains.