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Model Evaluation

A repeatable check of whether an AI is accurate, useful and safe enough for a specific job.

Model Evaluation is a repeatable check of whether an AI is accurate, useful and safe enough for a specific job.

For leaders, the useful question is not whether the term sounds technical. It is: where does it change a decision, a boundary or a measure of value in our work this quarter?

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AI can make mistakes. Check important facts, decisions and sources before relying on them.

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START

Use real work

CONTROL

Review evidence

OUTCOME

Improve or stop

Learning comes from an evidence-led operating loop.

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