RiskNet: A large-scale dataset of AI risk incidents from news with alignment and multi-dimensional annotations
As artificial intelligence (AI) systems are increasingly deployed across socially consequential domains, reports of AI-related harms and failures have grown in frequency and diversity. Although existing governance frameworks articulate high-level principles for responsible AI, large-scale empirical resources for tracking and analyzing real-world AI risk incidents remain limited. Existing incident collections are often manually curated, relatively small in scale, and insufficient for continuous,
Record details
Published: 7 June 2026
Source: arXiv
Category: Research
Topics: Regulation · Safety & alignment · Privacy
Retrieved: 14 July 2026
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How to cite this record
ethics.ai (7 June 2026), “RiskNet: A large-scale dataset of AI risk incidents from news with alignment and multi-dimensional annotations,” evidence record 1314, https://ethics.ai/record/1314 (originally published by arXiv).
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