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Towards Socially Responsible AI: Cognitive Bias-Aware Multi-Objective Learning

AAAI 2020 · Large language models › AI and society · approach: Human-centered trust and agency · 14 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Add bias-aware gender and race objectives instead of bias-agnostic L2 trainingEmotion classification on EEC · EEC, Noneaccuracy: 0.8620 -> 0.9100Helped
Add the joint gender-and-race bias objectives instead of bias-agnostic L2 trainingEmotion classification on EEC · EEC, Nonegamma (Fear vs. Gender): 0.1384 -> 0.1609Helped
Add the joint gender-and-race bias objectives instead of bias-agnostic L2 trainingEmotion classification on EEC · EEC, Nonegamma (Fear vs. Race): 0.1517 -> 0.1867Helped
Add the joint gender-and-race bias objectives instead of bias-agnostic L2 trainingEmotion classification on EEC · EEC, Nonegamma (Anger vs. Gender): 0.1850 -> 0.1906Helped
Use gender bias objective only rather than gender and race objectives jointly (ablation)Bias-Awr-Joint · EEC, Nonegamma (Fear vs. Gender): 0.1609 -> 0.1986Helped
Use gender bias objective only rather than gender and race objectives jointly (ablation)Bias-Awr-Joint · EEC, Nonegamma (Fear vs. Race): 0.1867 -> 0.1320Hurt
Use gender bias objective only rather than gender and race objectives jointly (ablation)Bias-Awr-Joint · EEC, Noneaccuracy: 0.9100 -> 0.9430Helped
Use race bias objective only rather than gender and race objectives jointly (ablation)Bias-Awr-Joint · EEC, Nonegamma (Fear vs. Race): 0.1867 -> 0.1873Helped
Use race bias objective only rather than gender and race objectives jointly (ablation)Bias-Awr-Joint · EEC, Nonegamma (Fear vs. Gender): 0.1609 -> 0.1403Hurt
Use gender-neutralized word embeddings instead of standard embeddingsBias-agnostic emotion classifier · EEC, Nonegamma (Fear vs. Gender): 0.1351 -> 0.0000Hurt
Add gender as an input feature to bias-agnostic trainingBias-agnostic emotion classifier · EEC, Nonegamma (Fear vs. Gender): 0.1351 -> 0.0000Hurt
Add race as an input feature to bias-agnostic trainingBias-agnostic emotion classifier · EEC, Nonegamma (Fear vs. Gender): 0.1351 -> 0.0000Hurt

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