What is artificial intelligence regression testing?
Definition
Artificial intelligence regression testing turns past tasks and failures into repeatable checks. After a model, prompt, tool or workflow changes, the system reruns those cases and compares quality, actions, safety and outcomes with an accepted baseline.
Regression tests protect known behavior but do not discover every new failure. A useful suite grows from real traces, remains representative of current work and separates genuine improvement from changes that merely fit a narrow test set.
Acronyms and aliases
AI regression testing acronymagent regression testing variant
Related terms
Frequently asked questions
What belongs in an artificial intelligence regression test?
It should include a stable task, inputs, environment assumptions, expected constraints and a scoring method for the resulting actions or outcome.
When should artificial intelligence regression tests run?
They should run when models, prompts, tools, policies or workflow code change and regularly enough to detect drift in production behavior.
