The likelihood that a harm will occur and the severity | AIGP
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The likelihood that a harm will occur and the severity: What two dimensions does this matrix combine to help

AIGP Understanding How to Govern AI Development Easy

A probability/severity harms matrix ranks risks by combining how likely a harm is with how severe its impact would be.

The question

A design team uses a probability/severity harms matrix while identifying risks of a new AI system. What two dimensions does this matrix combine to help prioritize risks?

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  1. The cost of a control and the time required to implement it, combined to schedule mitigation work efficiently.
    Plausible but wrong: cost and schedule inform project planning, not the likelihood-and-severity axes of a harms matrix.
  2. The likelihood that a harm will occur and the severity of its impact if it does, combined to rank which risks to address first.
    Correct: a probability/severity matrix ranks risks by combining how likely a harm is with how severe its impact would be.
  3. The accuracy of the model and the size of its training dataset, combined to estimate how reliable its predictions will be in use.
    Plausible but wrong: accuracy and data size are performance measures, not the two risk dimensions the matrix combines.
  4. The number of affected users and the geographic regions served, combined to size the overall market reach of the deployed system.
    Plausible but wrong: reach and geography describe scale of use, not the probability and severity that the harms matrix plots.
The trap
Substituting cost, performance, or scale metrics for the likelihood-and-severity axes of a harms matrix.

How to remember it

A probability/severity harms matrix ranks risks by combining how likely a harm is with how severe its impact would be.

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