Wire · operational-macro
Structure, Meaning, and the Answerability of Automated Systems
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Fusion42 · 11 October 2026 · Fusion42 review
The paper introduces a participatory framework for AI transparency, shifting focus from model interpretability to satisfying accountability and governance demands through semantic transparency. Validated in EU public sector AI contexts like recruitment and compliance, it offers new tools for fairness and accountability analysis.
This Wire brief sits within Fusion42's coverage of AI & ML.
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You must rethink AI transparency as a relation that enables accountability, not just a model feature. Your compliance approach will need practical tools aligned with EU demands, opening new routes to prove fairness and governance.
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1 source · 11 Oct 2026
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