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2 results for “attribution methods”
SPIN Processed News Frame: The Hype
Measuring Explainer Stability via Attribution Separability
A new research paper introduces a distribution-based framework to measure the stability of AI explanation methods by quantifying how reliably features can be ranked by attribution scores.
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arXiv Machine Learning
Aug 5, 2026
SPIN Processed News Frame: The Halo
Local Additive Feature Attribution: A Mathematical Taxonomy and Reporting Checklist
A new arXiv survey paper proposes a unified mathematical framework and reporting checklist for local additive feature attribution methods in explainable AI, aiming to clarify assumptions, compare methods axiomatically, and reduce misinterpretation of attribution outputs.
Spin 40% Claim Present in Source AI Risk Moderate
arXiv Machine Learning
Jul 18, 2026