SOTAVerified

Fairness

Papers

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Showing 3576–3600 of 5676 papers

TitleStatusHype
The Sharpe predictor for fairness in machine learning—0
The Silicon Ceiling: Auditing GPT's Race and Gender Biases in Hiring—0
Thesis Distillation: Investigating The Impact of Bias in NLP Models on Hate Speech Detection—0
The Social Cost of Strategic Classification—0
The Sponge Cake Dilemma over the Nile: Achieving Fairness in Resource Allocation with Cake Cutting Algorithms—0
The Staircase of Ethics: Probing LLM Value Priorities through Multi-Step Induction to Complex Moral Dilemmas—0
The State of AI Ethics Report (Volume 4)—0
The State of AI Ethics Report (Volume 5)—0
The State of NLP Literature: A Diachronic Analysis of the ACL Anthology—0
The Struggles of Feature-Based Explanations: Shapley Values vs. Minimal Sufficient Subsets—0
Survey of Trustworthy AI: A Meta Decision of AI—0
The trade-off between data minimization and fairness in collaborative filtering—0
The Trade-off between Performance, Efficiency, and Fairness in Adapter Modules for Text Classification—0
The Unbearable Weight of Massive Privilege: Revisiting Bias-Variance Trade-Offs in the Context of Fair Prediction—0
The Unfairness of Fair Machine Learning: Levelling down and strict egalitarianism by default—0
The Unfairness of -Fairness—0
They're All Doctors: Synthesizing Diverse Counterfactuals to Mitigate Associative Bias—0
Thinking Beyond Distributions in Testing Machine Learned Models—0
Thompson Sampling for Combinatorial Semi-bandits with Sleeping Arms and Long-Term Fairness Constraints—0
Thoughtful Adoption of NLP for Civic Participation: Understanding Differences Among Policymakers—0
Three Applications of Conformal Prediction for Rating Breast Density in Mammography—0
Through a fair looking-glass: mitigating bias in image datasets—0
Why does Throwing Away Data Improve Worst-Group Error?—0
TIDE: Textual Identity Detection for Evaluating and Augmenting Classification and Language Models—0
Tilted Cross Entropy (TCE): Promoting Fairness in Semantic Segmentation—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
11D-CSNNPredictive Equality (age)99.86—Unverified
21D-CSNNPredictive Equality (age)97.8—Unverified
#ModelMetricClaimedVerifiedStatus
11D-CSNNPredictive Equality (age)96.87—Unverified
#ModelMetricClaimedVerifiedStatus
11D-CSNNPredictive Equality (age)98.97—Unverified
#ModelMetricClaimedVerifiedStatus
11D-CSNNPredictive Equality (age)98.45—Unverified
#ModelMetricClaimedVerifiedStatus
11D-CSNNPredictive Equality (age)98.68—Unverified
#ModelMetricClaimedVerifiedStatus
11D-CSNNPredictive Equality (age)99.31—Unverified
#ModelMetricClaimedVerifiedStatus
1Neighbour LearningDegree of Bias (DoB)0.49—Unverified
#ModelMetricClaimedVerifiedStatus
1Neighbour LearningDegree of Bias (DoB)6.26—Unverified
#ModelMetricClaimedVerifiedStatus
1Neighbour LearningDegree of Bias (DoB)1.96—Unverified