Regression Testing
The practice of retesting AI models after updates or modifications to ensure that previously working functionality has not degraded and that known biases have not been reintroduced.
In plain language
After updating an AI, checking that the update did not break anything that was working before and did not reintroduce old biases. Like testing a software update to verify everything still works as expected.
Why this matters
Regression testing is a governance safeguard that ensures AI updates do not introduce new risks or reintroduce previously addressed biases. Your framework should mandate regression testing as part of every model update cycle, with documented test results retained for audit purposes.
Relevance
ImplementationRegular regression testing prevents unintended degradation of model performance or reintroduction of biases, maintaining the integrity of AI systems deployed in regulated environments where audit trails and performance consistency are required.
Related terms
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