Find a story
Search Spins
Search titles, summaries, and missing voices across published articles — press releases, announcements, and media coverage.
0 results for “feature attribution”
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
SPIN Processed News Frame: The Cushion
Position: Explainability Research Must Prioritize Foundations over Ad-hoc Methods
A position paper argues that Explainable AI (XAI) research must shift from producing isolated explanation methods to solving foundational problems—like ill-defined objectives, weak evaluation frameworks, and missing human-in-the-loop feedback pipelines—to enable real-world impact.
Spin 65% Claim Present in Source AI Risk Moderate
arXiv Machine Learning
Jul 18, 2026