The likelihood that a harm will occur and the severity: What two dimensions does this matrix combine to help
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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- 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.
- 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.
- 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.
- 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.
How many of these would you get right?
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