Industrial AI Governance & MLOps worked example
AI Risk Score with ai risk impact score of 4.5 score: a worked example
This worked example runs the ai risk score numbers for a tougher week than the baseline: ai risk impact score of 4.5 score instead of the typical 9 score. Rank production AI risk using impact, likelihood, and detection difficulty for industrial model decisions.
The inputs for this scenario
- AI risk impact score: 4.5 score (the input this scenario stresses; the baseline uses 9)
- AI risk likelihood score: 4 score (held at the documented default)
- AI risk detection difficulty score: 5 score (held at the documented default)
Working through the calculation
- The calculation starts from the formula this tool documents: AI risk score = AI risk impact score × AI risk likelihood score × AI risk detection difficulty score.
- AI risk score works out to 4.45 score at these inputs, and this is the headline figure for the scenario.
- AI risk impact score works out to 4.5 score at these inputs.
- AI risk likelihood score works out to 4 score at these inputs.
- AI risk detection difficulty score works out to 5 score at these inputs.
How this compares with the baseline
- Against the tool's baseline example, where ai risk impact score sits at 9 score and the headline result is 6.25 score, this scenario comes in 28.8% below the baseline at 4.45 score.
- Use it during model risk reviews, pre-deployment sign-off, and periodic governance audits to rank ML risks against each other. A result at this level usually justifies acting on the stressed input before touching anything else, because every other figure in the table is downstream of it.
Results at a glance
- AI risk score: 4.45 score (headline result)
- AI risk impact score: 4.5 score
- AI risk likelihood score: 4 score
- AI risk detection difficulty score: 5 score
Run it with your numbers
- To rerun this with your own numbers, open the live AI Risk Score calculator, set ai risk impact score to your actual value, and adjust the remaining inputs to match your operation.
Last reviewed 2026-05-12.