SOTAVerified

Fairness

Papers

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Showing 3551–3575 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
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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