A probability and severity harms matrix that ranks risks | AIGP
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A probability and severity harms matrix that ranks risks: Which tool is designed for that purpose during the

AIGP Understanding How to Govern AI Development Easy

A probability and severity harms matrix ranks risks by how likely and how serious each harm is.

The question

A design team wants to prioritize identified AI risks by weighing how likely each harm is against how serious it would be. Which tool is designed for that purpose during the design-and-build phase? They want a recognized method for ranking harms.

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  1. A data provenance ledger that traces each dataset to its original externally licensed source.
    Plausible but wrong: a provenance ledger supports data lineage (III.B.2), not likelihood-versus-severity risk ranking.
  2. A probability and severity harms matrix that ranks risks by likelihood against impact.
    Correct because III.A.4 names a probability/severity harms matrix as a tool to identify and manage design-and-build risks.
  3. A model card that summarizes intended use, performance limits, and evaluations.
    Almost right because a model card documents risk-relevant facts, but it is a release artifact, not a prioritization tool.
  4. A vendor licensing summary that lists usage rights and indemnification terms.
    Plausible but wrong: a licensing summary is a procurement artifact and does not rank harms by likelihood and impact.
The trap
Mistaking a documentation artifact for a risk-prioritization tool.

How to remember it

A probability and severity harms matrix ranks risks by how likely and how serious each harm is.

How many of these would you get right?

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