Phase 2b: LLM-Specific Responsible AI · 50 min · Python · openai · anthropic

Red Teaming LLMs for Ethical Failures

Security red teaming asks 'Can it be broken?' RAI red teaming asks 'Who does it harm when it works exactly as designed?'

Hiring signal: A candidate who has run a RAI-focused red team campaign — targeting bias, harm, and manipulation rather than just prompt injection — demonstrates the cross-disciplinary thinking that separates RAI engineers from security engineers.

What you will learn

Distinguish RAI red teaming from security red teaming: different goals, different methods
Test for biased completions across demographic groups using controlled prompts
Test for harmful advice generation in medical, legal, and financial domains
Test for manipulation and persuasion patterns in multi-turn conversations
Build a RAI red team report with severity scoring and remediation recommendations

Introduction

Red Teaming LLMs for Ethical Failures

Why This Lesson Matters

Security red teaming asks "Can the model be broken?" RAI red teaming asks "Who does the model harm when it works exactly as designed?" These are fundamentally different questions requiring different methodologies. A RAI engineer must be able to run both.

Unlock the full lesson

You've read the first 2 sections. The rest of this lesson covers RAI Red Teaming vs. Security Red Teaming, Test Category 1: Biased Completions, Test Category 2: Harmful Advice Generation, Test Category 3: Manipulation & Persuasion, Building a RAI Red Team Report, Automation, Key Takeaways — plus a hands-on lab, quiz, and project artifact.

Create a free account to unlock Phase 0 and Phase 1 of every course — no credit card.

Key terms in this lesson

Red Teaming