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Google DeepMind Blog · March 26, 2026

Evaluate harmful manipulation by context, behavior and actual influence

news Model EvaluationAI Red Teaming
Why it matters

Google DeepMind reports nine controlled studies with more than 10,000 participants across three countries. Its framework separates a model’s use of manipulative tactics from whether an interaction changes a participant’s beliefs or behavior. Results vary by domain and geography, and tactic frequency does not consistently predict success. The released study materials support context-specific evaluation; the experiments do not establish real-world harm rates or test every safeguard against dangerous content.

My takeaway: Measure manipulative behavior and its effects separately, using ethically reviewed tasks appropriate to the intended audience. Include relevant languages, locales and application contexts. Do not infer protection from a low tactic count or generalize a result from one domain to another.
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