Failure Mode Analysis
A systematic approach to identifying, categorising and mitigating the ways in which an AI system can fail, malfunction or produce undesirable outputs.
In plain language
Cataloguing all the ways an AI can go wrong and planning for each one. For a medical AI, you ask: what if the image is blurry, the patient has a rare condition, or the data is corrupted?
Why this matters
Failure mode analysis is a proactive governance tool that helps organisations anticipate and prepare for AI failures before deployment. Organisations should conduct failure mode analysis for all high-risk AI systems and document mitigation strategies as part of their AI governance framework.
Relevance
GovernanceSystematic failure identification supports risk assessment and audit readiness, enabling demonstrable due diligence in AI governance.
Related terms
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