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The AI Model Risk Catalog: What Developers and Researchers Miss About Real-World AI Harms

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arxiv 2508.16672 v1 pith:DH4FIC2B submitted 2025-08-21 cs.CY cs.AI

The AI Model Risk Catalog: What Developers and Researchers Miss About Real-World AI Harms

Pooja S. B. Rao , Sanja \v{S}\'cepanovi\'c , Dinesh Babu Jayagopi , Mauro Cherubini , Daniele Quercia This is my paper
classification cs.CY cs.AI
keywords riskcatalogdevelopersmodelresearchersrisksharmsreal-world
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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We analyzed nearly 460,000 AI model cards from Hugging Face to examine how developers report risks. From these, we extracted around 3,000 unique risk mentions and built the \emph{AI Model Risk Catalog}. We compared these with risks identified by researchers in the MIT Risk Repository and with real-world incidents from the AI Incident Database. Developers focused on technical issues like bias and safety, while researchers emphasized broader social impacts. Both groups paid little attention to fraud and manipulation, which are common harms arising from how people interact with AI. Our findings show the need for clearer, structured risk reporting that helps developers think about human-interaction and systemic risks early in the design process. The catalog and paper appendix are available at: https://social-dynamics.net/ai-risks/catalog.

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