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Interview question · AI Red Teaming, Evaluation & Response

Discuss Microsoft's 'Lessons From Red Teaming 100 Generative AI Products'. What does it get right, and what would you add?

Discuss the paper’s eight lessons with accurate attribution, then apply them to an original product review. Add observable requirements, uncertainty and follow-through without inventing experience.

hardNewUpdated Nov 2026

Discuss the paper’s eight lessons with accurate attribution, then apply them to an original product review. Add observable requirements, uncertainty and follow-through without inventing experience.

Make your first attempt

What would you say before reading the answer?

  1. 01 State the assumptions your answer depends on.
  2. 02 Explain the mechanism and choose a control.
  3. 03 Name a condition that would change your decision.

The worked answer includes an approach, scoring criteria and follow-up questions. Compare the reasoning with your own.

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What if · the follow-ups in this answer

The answer works through 4 follow-ups like an interviewer would

In an original fictional review, a museum assistant answers visitor questions, reads restricted membership notes and may later gain permission to create service tickets.

  1. What if the product has no action tools?
  2. What if the team can repeat a safety failure but not a security failure?
  3. What if the public benchmark covers a relevant visitor harm?
  4. What would you add to the review plan after reading the paper?

Each rung has a nudge, a model answer, the principle that carries over and the weak answer to avoid. Premium opens every answer and ladder.

UP NEXT ON YOUR JOURNEY
Next in this trackDuring a red team engagement you find credentials in a system prompt that belongs to an out-of-scope system. What do you do?Next in this trackDescribe a red team engagement you ran: scope, findings, impact, and what you would do differently.Next in this trackHow do you report AI red-team results to leadership so they lead to decisions, not alarm or complacency?
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