Intermediate · Safety

AI Red Teaming

Visual diagram · (in preparation) · Math · (in preparation) · Worked example · 3 difficulty levels.

TL;DR. A structured process of rigorously testing an AI system, often by adversarial attack simulations, to identify vulnerabilities, biases, and potential for misuse.

Technical Definition

A structured process of rigorously testing an AI system, often by adversarial attack simulations, to identify vulnerabilities, biases, and potential for misuse.

How it works

AI red teaming enhances the robustness and safety of AI models before deployment. By simulating adversarial attacks or exploring harmful edge cases, red teamers aim to uncover weaknesses that could lead to biased, inaccurate, or malicious outputs. The insights gained are used to improve model defenses, implement stricter guardrails, and ensure responsible AI operation.

Related Concepts

• AI Safety & Alignment — The field ensuring AI systems behave as intended, remain under human control, and avoid unintended harm.
• Guardrails — Runtime checks that constrain model inputs and outputs to stay within safe, useful bounds.