How do I prove my AI model hasn't drifted since validation?
You prove it by re-running the same fixed evaluation periodically and comparing results — a stable probe set, recorded metrics, and a documented delta between the validation baseline and each later run, with tamper-evident records. Planisphere does exactly…
Answer.
You prove it by re-running the same fixed evaluation periodically and comparing results — a stable probe set, recorded metrics, and a documented delta between the validation baseline and each later run, with tamper-evident records. Planisphere does exactly this: its single-business-day re-run produces a bit-exact-comparable, sha-pinned drift delta against the baseline. It measures and documents drift; deciding whether a given drift is acceptable remains your clinical and regulatory call.
The mark behind the answer.
Predetermined Change Control Plan · drift-bounded model updates.
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