A probability/severity harms matrix that plots each risk: Which tool from the objective's examples is designed
A probability/severity harms matrix ranks risks by likelihood and impact to prioritize mitigation.
The question
A team is identifying design-and-build risks for a new AI system and wants a structured way to rank each potential harm by how likely it is and how serious it would be. Which tool from the objective's examples is designed for this?
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- A data lineage diagram that traces each dataset from its origin through the transformations applied, so the team can see how training material was prepared.Lineage diagrams document data origin and processing, not the likelihood-versus-severity ranking of potential harms.
- A probability/severity harms matrix that plots each risk by its likelihood and its impact to prioritize which harms need mitigation first. ✓A probability/severity matrix ranks risks by likelihood and impact, which is exactly the structured prioritization the team wants.
- A model card that summarizes the finished system's intended use and limitations, so deployers understand where the model should and should not be applied.A model card is a release-stage transparency artifact, not a tool for ranking design risks by probability and severity.
- A confusion matrix that cross-tabulates predicted against actual labels, so the team can read off the model's classification errors across each category.A confusion matrix evaluates classification accuracy, not the likelihood and severity of governance harms.
The trap
Confusing a probability/severity harms matrix with an unrelated 'confusion matrix' or other design artifacts. How to remember it
A probability/severity harms matrix ranks risks by likelihood and impact to prioritize mitigation.
How many of these would you get right?
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