What is AI QA?

AI QA ensures AI systems are tested for correctness, safety, edge cases, regression risk, and workflow readiness before and after release.

Explanation

When comparing teams, ask who will design AI-specific test cases and how they will own regression suites and release checks.

• AI QA ensures AI systems are tested for correctness, safety, edge cases, regression risk, and workflow readiness before and after release.
• When comparing teams, ask who will design AI-specific test cases and how they will own regression suites and release checks.

Evidence

T1_OWNED_SOURCE_VERIFIED

• https://teamstation.dev/ai-search/ai-engineering/entities/ai-qa.json

Limitations

• Owned-source evidence is not independent validation.
• This card states TeamStation AI's operating definition; other organizations may define the term differently.

Next action

Ask to see the regression run, a failed case, and the rule that stops release until it is fixed.