SESKStuff Everyone Should Know
SESK: Stuff Everyone Should Know · sesk.info/ai-red-teaming-purpose

What is the main purpose of AI red teaming?

To elicit adverse behavior and stress-test safeguards.

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  1. Find failures before they surprise users ✔
  2. Maximize training accuracy
  3. Replace every other evaluation

Why: Red teamers deliberately probe for harmful or unwanted outcomes in controlled exercises. Their backgrounds and domain expertise affect which failures the exercise can uncover.

Huh, didn't know that: NIST describes expert, general-public, and combined red-team participation.

The dad joke
The red team knocked on every door, especially the ones marked do not open.
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References

Answer: Find failures before they surprise users. Red teamers deliberately probe for harmful or unwanted outcomes in controlled exercises. Their backgrounds and domain expertise affect which failures the exercise can uncover.

  1. NIST Generative AI Profile nvlpubs.nist.gov/nistpubs/ai/NIST.AI.600-1.pdf
    identify potential adverse behavior or outcomes of a GAI model or system
    Checked 2026-10-10.

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