Red Teaming

Definition

Red teaming involves adversarial testing to find vulnerabilities and failure modes in AI systems.

Goals: - Find ways to bypass safety measures - Discover harmful outputs - Test edge cases - Improve robustness

Techniques: - Jailbreak attempts - Prompt injection - Adversarial inputs - Edge case exploration - Social engineering

Who Does Red Teaming: - Internal safety teams - External researchers - Bug bounty participants - AI safety organizations

Findings Help: - Improve training data - Refine safety filters - Update policies - Fix vulnerabilities

Challenges: - Can't test everything - Adversaries adapt - Novel attacks emerge - Balance with capabilities

Researchers finding ways to make ChatGPT produce harmful content to help fix vulnerabilities.

Ensuring AI systems behave in accordance with human values and intentions.

Techniques to bypass AI safety measures and get models to ignore restrictions.

Research field focused on ensuring AI systems are beneficial and don't cause harm.