Supplementary evidence record for The AI Incident Actionability Gap: Public Evidence and Operational Interpretability in AI Governance

Version 1.1 updates the Universal Credit Advances model evidence record to include the DWP Algorithmic Transparency Record published on 16 December 2025 and the DWP effectiveness assessment published on 9 July 2026, clarifies the iTutorGroup case label and terminology note, and makes minor source-traceability corrections. The sample remains 19 cases; aggregate coding counts were updated to reflect the Universal Credit Advances recoding. This dataset contains the cleaned supplementary evidence record supporting The AI Incident Actionability Gap: Public Evidence and Operational Interpretability in AI Governance. The workbook documents the structured qualitative coding of 19 publicly documented AI incidents across seven categories of operationally relevant information: (i) system identification, (ii) deployment context, (iii) timeline visibility, (iv) affected population, (v) mitigation visibility, (vi) evidence provenance, and (vii) oversight-route clarity. It includes case-level coding outcomes, supporting rationales, ambiguity notes, principal public evidence sources and evidence-environment metadata. The dataset supports research on AI governance, AI incident reporting and monitoring, post-deployment governance, public evidence, and operational interpretability.