arXiv
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When AI Fails, What Works? A Data-Driven Taxonomy of Real-World AI Risk Mitigation Strategies

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A 2026 data-driven taxonomy of the mitigation strategies that actually work against real-world AI failures, derived from analysis of documented incidents and mapped to the risks they address.

Tags

risk taxonomymitigationAI incidents

At a glance

Published

2026

Jurisdiction

Global

Category

Risk taxonomies

Access

Public access

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When AI Fails, What Works? A Data-Driven Taxonomy of Real-World AI Risk Mitigation Strategies | VerifyWise AI Governance Library