SOTAVerified

Fairness

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 3951–4000 of 5676 papers

TitleStatusHype
Who Gets the Callback? Generative AI and Gender Bias—0
Who is Undercover? Guiding LLMs to Explore Multi-Perspective Team Tactic in the Game—0
Who Pays? Personalization, Bossiness and the Cost of Fairness—0
Whose Morality Do They Speak? Unraveling Cultural Bias in Multilingual Language Models—0
Why Do Students Lie and Should We Worry? An Analysis of Non-truthful Reporting—0
Why Is My Classifier Discriminatory?—0
Why not both? Complementing explanations with uncertainty, and the role of self-confidence in Human-AI collaboration—0
Why Representation Engineering Works: A Theoretical and Empirical Study in Vision-Language Models—0
"Why Should You Trust My Explanation?" Understanding Uncertainty in LIME Explanations—0
Will Large Language Models Transform Clinical Prediction?—0
Will the Inclusion of Generated Data Amplify Bias Across Generations in Future Image Classification Models?—0
Within-group fairness: A guidance for more sound between-group fairness—0
Workforce pDEI: Productivity Coupled with DEI—0
Writing Style Matters: An Examination of Bias and Fairness in Information Retrieval Systems—0
XAI Handbook: Towards a Unified Framework for Explainable AI—0
XAIxArts Manifesto: Explainable AI for the Arts—0
FairMask: Better Fairness via Model-based Rebalancing of Protected Attributes—0
You reap what you sow: On the Challenges of Bias Evaluation Under Multilingual Settings—0
Your fairness may vary: Pretrained language model fairness in toxic text classification—0
Your fairness may vary: Pretrained language model fairness in toxic text classification—0
Your Large Language Model is Secretly a Fairness Proponent and You Should Prompt it Like One—0
Zero-bias Deep Neural Network for Quickest RF Signal Surveillance—0
ZeroMat: Solving Cold-start Problem of Recommender System with No Input Data—0
Zero-shot Fairness with Invisible Demographics—0
Zero-shot Model Diagnosis—0
From Utilitarian to Rawlsian Designs for Algorithmic Fairness—0
Proportionally Fair Clustering—0
Optimized Score Transformation for Consistent Fair Classification—0
Achieving Fairness in Determining Medicaid Eligibility through Fairgroup Construction—0
Metric Learning for Individual Fairness—0
Weighted Envy-Freeness in Indivisible Item Allocation—0
Verifiable Fairness: Privacy-preserving Computation of Fairness for Machine Learning Systems—0
Load Balancing in Federated Learning—0
AI for All: Identifying AI incidents Related to Diversity and Inclusion—0
Ontology of Belief Diversity: A Community-Based Epistemological Approach—0
Fair Risk Minimization under Causal Path-Specific Effect Constraints—0
Fairness and Bias Mitigation in Computer Vision: A Survey—0
Randomized Transport Plans via Hierarchical Fully Probabilistic Design—0
Investigating the Relationship Between Debiasing and Artifact Removal using Saliency Maps—0
Bias and Generalizability of Foundation Models across Datasets in Breast Mammography—0
From Embeddings to Accuracy: Comparing Foundation Models for Radiographic Classification—0
Fairness-aware Anomaly Detection via Fair Projection—0
MPMA: Preference Manipulation Attack Against Model Context Protocol—0
Equal is Not Always Fair: A New Perspective on Hyperspectral Representation Non-Uniformity—0
EMO-Debias: Benchmarking Gender Debiasing Techniques in Multi-Label Speech Emotion Recognition—0
The World of AI: A Novel Approach to AI Literacy for First-year Engineering Students—0
Ensuring Reliability of Curated EHR-Derived Data: The Validation of Accuracy for LLM/ML-Extracted Information and Data (VALID) Framework—0
Learning-Based Multiuser Scheduling in MIMO-OFDM Systems with Hybrid Beamforming—0
Towards Fair Representation: Clustering and Consensus—0
Societal AI Research Has Become Less Interdisciplinary—0
Show:102550
← PrevPage 80 of 114Next →
All datasetsBAF – BaseBAF – Variant IBAF – Variant IIBAF – Variant IIIBAF – Variant IVBAF – Variant VDiveFaceMORPHUTKFace

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