• Definition: users intentionally trick the LLM into doing something it shouldn't, which can lead to biased, offensive, dangerous, or harmful outputs. 1:48
  • Real cases 1:48:
    • A Chevrolet dealership chatbot "sold" a car for $1 after a user manipulated it into agreeing with every request.
    • A DPD chatbot swore at a customer and wrote poems mocking the company after being prompted to — which went viral on social media.
  • Distinction from hallucinations: jailbreaks are adversarial (deliberate manipulation), not accidental model error.

Mitigations covered later: guardrails and adversarial red-teaming.