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Evidence record 17757 · automatically gathered

"Death by a thousand taxonomies?": AI Risk Classification In Practice

arXiv:2608.06831v1 Announce Type: new Abstract: The harms in which AI is implicated range in nature and scope from unsafe user interactions through to the societal-wide consequences of AI adoption. Classification of the diverse risks of AI is foundational to AI governance: regulators, technology firms, and policymakers need structured accounts of risk upon which to act. Researchers and practitioners have accordingly developed many Sociotechnical Outcome Taxonomies (SOT). This paper presents an e

Record details

Published: 10 August 2026
Source: arXiv cs.CY
Category: Research
Topics: Regulation
Retrieved: 10 August 2026

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Same publisher byline · Shared topic: Regulation

"Death by a thousand taxonomies?": AI Risk Classification In Practice

arXiv · 7 August 2026

Shared topic: Regulation

Taxonomy-Driven Analysis of Open-Source AI Risk Mitigation Tools

arXiv cs.CY · 10 August 2026

Shared topic: Regulation

Against Explainable Artificial Intelligence In Law: Why Justifiable Ai Matters. A Credit Scoring Example

arXiv cs.CY · 10 August 2026

Shared topic: Regulation

From Forensics to Ecosystems: Rethinking Watermarks for Generative AI Oversight

arXiv cs.CY · 10 August 2026

Shared topic: Regulation

Where Does AI Innovation Go? Measuring Research Attention Imbalance in AI Music

arXiv cs.CY · 10 August 2026

Shared topic: Regulation

Implementation of Split Deadlines in a Large CS1 Course

arXiv cs.CY · 10 August 2026

How to cite this record

ethics.ai (10 August 2026), “"Death by a thousand taxonomies?": AI Risk Classification In Practice,” evidence record 17757, https://ethics.ai/record/17757 (originally published by arXiv cs.CY).

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