Ad allocation should add constraints against hermeneutical deprivation and distortion to prevent epistemic harms from concentrating in disadvantaged groups.
Proceedings of the 23rd acm sigkdd international conference on knowledge discovery and data mining , pages=
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LLMs show up to 60.58% social bias in generated code; a new Fairness Monitor Agent cuts bias by 65.1% and raises functional correctness from 75.80% to 83.97%.
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Beyond Distributive Justice: Hermeneutical Fairness in Ad Delivery
Ad allocation should add constraints against hermeneutical deprivation and distortion to prevent epistemic harms from concentrating in disadvantaged groups.
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Social Bias in LLM-Generated Code: Benchmark and Mitigation
LLMs show up to 60.58% social bias in generated code; a new Fairness Monitor Agent cuts bias by 65.1% and raises functional correctness from 75.80% to 83.97%.
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