#algorithmic-auditing News & Analysis

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

2 articles

AINeutralarXiv – CS AI · Jun 106/10

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Is Fairness Truly Fair? Towards Reliable Lipschitz Fairness in Multi-Task Learning via Fixed-\texorpdfstring{$\delta$}{delta} Alignment

Researchers propose ReLiF, a framework addressing fairness evaluation problems in multi-task machine learning by using fixed evaluation thresholds rather than model-dependent ones. The work identifies how different algorithms can appear unfairly comparable under inconsistent fairness metrics and demonstrates that proper auditing protocols reveal genuine utility-fairness trade-offs obscured by conventional methods.

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AINeutralarXiv – CS AI · Jun 96/10

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Evaluating AI Investment Strategies

Researchers present a mathematical framework for auditing black-box algorithmic decision-makers by decomposing cumulative regret into per-period covariances between costs and policy decisions. The model-free approach enables practical auditing of sequential decision systems, with applications to platform mechanisms, repeated games, and algorithmic trading strategies without requiring access to private agent information.

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