Statistical Parity
PulseAugur coverage of Statistical Parity — every cluster mentioning Statistical Parity across labs, papers, and developer communities, ranked by signal.
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New framework enables sequential AI fairness auditing with limited model access
Researchers have developed a new statistical framework for auditing AI fairness, particularly when auditors have limited access to the model's outputs. This approach treats fairness auditing as a sequential hypothesis-t…
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New SMAA-Fair method enhances fairness in AI rankings
Researchers have introduced SMAA-Fair, an extension of Stochastic Multicriteria Acceptability Analysis (SMAA) designed to incorporate fairness into ranking problems. This new framework reweights rankings based on group …
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New framework tackles causal fairness for continuous attributes in AI
This paper introduces a novel framework for addressing fairness in machine learning models, particularly for continuous protected attributes like age or gender. The proposed method formalizes fairness criteria using pat…