SOTAVerified

Fairness

Papers

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Showing 3551–3600 of 5676 papers

TitleStatusHype
The Minimum Wage as an Anchor: Effects on Determinations of Fairness by Humans and AI—0
The More Secure, The Less Equally Usable: Gender and Ethnicity (Un)fairness of Deep Face Recognition along Security Thresholds—0
The Multimodal Paradox: How Added and Missing Modalities Shape Bias and Performance in Multimodal AI—0
The Multiple Dimensions of Spuriousness in Machine Learning—0
The multiplicity of memory enhancement: Practical and ethical implications of the diverse neural substrates underlying human memory systems—0
The Neutrality Fallacy: When Algorithmic Fairness Interventions are (Not) Positive Action—0
Theoretically Accurate Regularization Technique for Matrix Factorization based Recommender Systems—0
Theory In, Theory Out: The uses of social theory in machine learning for social science—0
The Possibility of Fairness: Revisiting the Impossibility Theorem in Practice—0
Projection to Fairness in Statistical Learning—0
The probabilistic rank random assignment rule and its axiomatic characterization—0
The Pursuit of Fairness in Artificial Intelligence Models: A Survey—0
The Random Conditional Distribution for Higher-Order Probabilistic Inference—0
There is an elephant in the room: Towards a critique on the use of fairness in biometrics—0
"There Is Not Enough Information": On the Effects of Explanations on Perceptions of Informational Fairness and Trustworthiness in Automated Decision-Making—0
There is no trade-off: enforcing fairness can improve accuracy—0
Does enforcing fairness mitigate biases caused by subpopulation shift?—0
The Relationship between the Consistency of Users' Ratings and Recommendation Calibration—0
The relationship between trust in AI and trustworthy machine learning technologies—0
The Right Tool for the Job: Open-Source Auditing Tools in Machine Learning—0
The Rise of Artificial Intelligence in Educational Measurement: Opportunities and Ethical Challenges—0
The Road to Explainability is Paved with Bias: Measuring the Fairness of Explanations—0
The Role of Hyperparameters in Predictive Multiplicity—0
The Role of Randomness and Noise in Strategic Classification—0
These are not the Stereotypes You are Looking For: Bias and Fairness in Authorial Gender Attribution—0
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