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Advancing red teaming with people and AI

OpenAI just formalized its red teaming playbook. Here's why every AI leader needs to adopt it.

Reporting by OpenAI Blog 1 min brief
Illustration of two anonymous hands arranging task cards around an amber tool on a shared desk.
People, judgement and the changing nature of work.AI illustration by KeyNews
The KeyNews take

Why it matters

OpenAI is publishing its red teaming methodology combining human and AI-driven adversarial testing, establishing a new governance/safety standard that enterprises and labs will likely benchmark against for responsible model deployment.

The key facts

8 to know

  1. OpenAI red teaming combines human and AI approaches

  2. Published methodology available for industry adoption

  3. Addresses AI safety governance and model evaluation best practices

  4. Published November 21, 2024

  5. OpenAI publishing red teaming methodology

  6. Hybrid human-AI approach to safety testing

  7. Safety governance / pre-deployment validation focus

  8. Relevant to AI ethics, safety practices, and governance decisions

Go to the source

OpenAI Blogopenai.com

Publisher excerpt: Advancing red teaming with people and AI
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