Canada Mandates AI Bias Audits for Public Sector
Canada enforces mandatory bias audits for public sector AI to ensure fairness and transparency in government algorithms.
🏷️ Fairness
11 articles about 'Fairness'
Kenya's AI Health Algorithm Penalizes the Poor
An investigation reveals Kenya's AI-powered healthcare system systematically overcharges the poorest citizens, undermini…
Study Finds: LLMs Prefer Resumes They Generated Themselves
A new study reveals that large language models exhibit a significant 'self-preference' bias when screening resumes, cons…
AttriBE: Quantifying Attribute Expressivity in Body Embeddings
A new study introduces the AttriBE framework, which quantifies the expressivity of attributes such as gender, pose, and …
FairMind: Automating AI Fairness Analysis with Causal Reasoning and LLMs
A research team has introduced FairMind, a prototype system that combines causal fairness analysis with LLM-powered repo…
People First: A Paradigm Shift in Medical Imaging AI
A new study reveals that while data-driven medical AI has achieved high diagnostic accuracy, its clinical adoption remai…
PBiLoss: Eliminating Popularity Bias in Recommendation Systems Through Regularization
Researchers propose PBiLoss, a popularity-aware regularization technique that directly mitigates popularity bias during …
New Research: Explainable Transformer Achieves Counterfactual Fairness
A latest arXiv paper proposes an efficient and explainable Transformer architecture designed to resolve the three-way te…
New Research Corrects Performance Estimation Bias in Imbalanced Classification
A latest arXiv paper proposes a method to correct performance estimation bias for minority class sub-concepts in imbalan…
Study Reveals Self-Preference Bias in LLM Judges and Proposes Mitigation Strategies
A latest arXiv paper systematically quantifies the 'self-preference bias' phenomenon when large language models serve as…
Who Judges the Judges? Bias Mitigation Strategies for LLM Evaluators Receive First Systematic Assessment
A large-scale empirical study systematically compared 9 debiasing strategies across 5 mainstream LLM judges, revealing t…
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