#algorithmic-fairness News & Analysis

27 articles tagged with #algorithmic-fairness. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

27 articles

AINeutralarXiv – CS AI · Apr 106/10

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CAFP: A Post-Processing Framework for Group Fairness via Counterfactual Model Averaging

Researchers introduce CAFP, a post-processing framework that mitigates algorithmic bias by averaging predictions across factual and counterfactual versions of inputs where sensitive attributes are flipped. The model-agnostic approach eliminates the need for retraining or architectural modifications, making fairness interventions practical for deployed systems in high-stakes domains like credit scoring and criminal justice.

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AINeutralarXiv – CS AI · Feb 275/106

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From Bias to Balance: Fairness-Aware Paper Recommendation for Equitable Peer Review

Researchers developed Fair-PaperRec, an AI system that uses fairness regularization to reduce bias in academic peer review processes. The system achieved up to 42% increased participation from underrepresented groups while maintaining scholarly quality with minimal utility loss.

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