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AI systems should be tested by evaluators who can shape the tests, access relevant evidence and escalate findings without having those conclusions softened, argues Meta marketing science partner Ambarish Majumdar in Forbes.

Why it matters

His practical proposal is to keep the evaluator’s findings separate from the product team’s response and the executive’s launch decision. That makes it clearer who found what, and who accepted any remaining risk. It is an opinion piece, not evidence that companies have adopted this approach. Still, “independent” means more than hiring an outside reviewer: the reviewer needs enough freedom to challenge the work. Should high-stakes AI releases require that kind of independent review, or can internal teams do the job credibly?

Discuss: Should high-stakes AI releases require evaluators with independent access and escalation rights, or can internal teams provide a credible challenge?

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