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Fairness

Papers

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Showing 4551–4600 of 5676 papers

TitleStatusHype
Beyond Dataset Creation: Critical View of Annotation Variation and Bias Probing of a Dataset for Online Radical Content Detection—0
Beyond Detection: Designing AI-Resilient Assessments with Automated Feedback Tool to Foster Critical Thinking—0
Beyond Detection: Unveiling Fairness Vulnerabilities in Abusive Language Models—0
Beyond Explainability: The Case for AI Validation—0
Beyond Fairness: Age-Harmless Parkinson's Detection via Voice—0
Beyond Fairness Metrics: Roadblocks and Challenges for Ethical AI in Practice—0
Beyond Global Metrics: A Fairness Analysis for Interpretable Voice Disorder Detection Systems—0
Beyond human subjectivity and error: a novel AI grading system—0
Beyond Impossibility: Balancing Sufficiency, Separation and Accuracy—0
Beyond Individual and Group Fairness—0
Beyond opening up the black box: Investigating the role of algorithmic systems in Wikipedian organizational culture—0
Beyond Personalization: Research Directions in Multistakeholder Recommendation—0
Beyond Submodularity: A Unified Framework of Randomized Set Selection with Group Fairness Constraints—0
Beyond the Black Box: Interpretability of LLMs in Finance—0
An Algorithmic Framework for Bias Bounties—0
Beyond traditional assumptions in fair machine learning—0
Beyond XAI:Obstacles Towards Responsible AI—0
Bias Mitigation for Machine Learning Classifiers: A Comprehensive Survey—0
Bias A-head? Analyzing Bias in Transformer-Based Language Model Attention Heads—0
Bias Amplification in RAG: Poisoning Knowledge Retrieval to Steer LLMs—0
Bias Analysis of AI Models for Undergraduate Student Admissions—0
Bias and Fairness in Chatbots: An Overview—0
Bias and Fairness in Computer Vision Applications of the Criminal Justice System—0
Bias and Fairness on Multimodal Emotion Detection Algorithms—0
Bias and unfairness in machine learning models: a systematic literature review—0
Bias Testing and Mitigation in LLM-based Code Generation—0
Bias Begets Bias: The Impact of Biased Embeddings on Diffusion Models—0
Bias Beyond English: Evaluating Social Bias and Debiasing Methods in a Low-Resource Setting—0
Bias Discovery in Machine Learning Models for Mental Health—0
Bias, diversity, and challenges to fairness in classification and automated text analysis. From libraries to AI and back—0
Biased Models Have Biased Explanations—0
Biases in Edge Language Models: Detection, Analysis, and Mitigation—0
Biases in Expected Goals Models Confound Finishing Ability—0
Bias, Fairness, and Accountability with AI and ML Algorithms—0
BiasFilter: An Inference-Time Debiasing Framework for Large Language Models—0
BiasGuard: A Reasoning-enhanced Bias Detection Tool For Large Language Models—0
Bias in AI-systems: A multi-step approach—0
Biasing & Debiasing based Approach Towards Fair Knowledge Transfer for Equitable Skin Analysis—0
Bias in Language Models: Beyond Trick Tests and Toward RUTEd Evaluation—0
Bias in Motion: Theoretical Insights into the Dynamics of Bias in SGD Training—0
Bias in Unsupervised Anomaly Detection in Brain MRI—0
Bias Mitigation Framework for Intersectional Subgroups in Neural Networks—0
Bias Mitigation in Fine-tuning Pre-trained Models for Enhanced Fairness and Efficiency—0
FairCal: Fairness Calibration for Face Verification—0
Bias Mitigation Post-processing for Individual and Group Fairness—0
Bias mitigation techniques in image classification: fair machine learning in human heritage collections—0
Bias Neutralization Framework: Measuring Fairness in Large Language Models with Bias Intelligence Quotient (BiQ)—0
Bias Reducing Multitask Learning on Mental Health Prediction—0
Bias Similarity Across Large Language Models—0
Bias-Tolerant Fair Classification—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