What is QA for AI?

Traditional QA assumes a deterministic system: same input → same output. AI breaks that assumption. Outputs vary by sampling temperature, prompt phrasing, retrieval order, model version, and time of day. QA for AI is the discipline of producing reliable quality signals about systems whose outputs are probabilistic, open-ended, and continuously drifting.