SOTAVerified

Fairness

Papers

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Showing 3826–3850 of 5676 papers

TitleStatusHype
Human-in-the-Loop AI for Cheating Ring Detection—0
Human Perceptions of Fairness in Algorithmic Decision Making: A Case Study of Criminal Risk Prediction—0
Humble AI in the real-world: the case of algorithmic hiring—0
HyperFair: A Soft Approach to Integrating Fairness Criteria—0
Hyper-parameter Tuning for Fair Classification without Sensitive Attribute Access—0
HypRL: Reinforcement Learning of Control Policies for Hyperproperties—0
I3DOL: Incremental 3D Object Learning without Catastrophic Forgetting—0
ICON^2: Reliably Benchmarking Predictive Inequity in Object Detection—0
Identifiability of Causal-based Fairness Notions: A State of the Art—0
Identification of Bias Against People with Disabilities in Sentiment Analysis and Toxicity Detection Models—0
Identification of Systematic Errors of Image Classifiers on Rare Subgroups—0
Identifying and Correcting Label Bias in Machine Learning—0
Identifying and examining machine learning biases on Adult dataset—0
Identifying and Measuring Annotator Bias Based on Annotators’ Demographic Characteristics—0
Identifying and mitigating bias in algorithms used to manage patients in a pandemic—0
Identifying Best Fair Intervention—0
Identifying biases in legal data: An algorithmic fairness perspective—0
Identifying Fairness Issues in Automatically Generated Testing Content—0
Identifying Implicit Social Biases in Vision-Language Models—0
Identifying, measuring, and mitigating individual unfairness for supervised learning models and application to credit risk models—0
Identifying Reasons for Bias: An Argumentation-Based Approach—0
Identifying Trustworthiness Challenges in Deep Learning Models for Continental-Scale Water Quality Prediction—0
Identity resolution of software metadata using Large Language Models—0
I don't trust you (anymore)! -- The effect of students' LLM use on Lecturer-Student-Trust in Higher Education—0
iFair: Learning Individually Fair Data Representations for Algorithmic Decision Making—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