What is Sycophancy in Applied AI?
The tendency of a model to agree with the user even when the user is wrong, or to flatter the user when an objective response would be more useful. Sycophancy emerges from preference-data biases during RLHF and is a known failure mode of helpful-and-harmless training.
Why Sycophancy Matters for Your AI or Cybersecurity Career
Sycophantic models give bad advice. AI safety engineers and AI PM roles design eval suites that catch it.
Related Applied AI Terms
The tendency of a model to agree with the user even when the user is wrong, or to flatter the user when an objective response would be more useful. Sycophancy emerges from preference-data biases during RLHF and is a known failure mode of helpful-and-harmless training.
Sycophantic models give bad advice. AI safety engineers and AI PM roles design eval suites that catch it.
Definitions are original explanations written for career development purposes. For authoritative technical definitions, refer to NIST, ISO, or the relevant standards body.
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