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Module 11 of 1611 min read5 sub-lessons Docs view

Module 11: AI Safety, Hallucinations, and Responsible AI

Understand hallucinations, prompt injection, bias, privacy, and the responsible AI principles every engineer must apply before shipping any LLM feature.

Module 11: AI Safety, Hallucinations, and Responsible AI

What this module gives you

Add a safety layer to everything you have built. By the end you can identify the top risks in any LLM feature and design specific mitigations.

Skills you will pick up

  • Recognizing and mitigating hallucinations
  • Defending against prompt injection
  • Spotting and reducing bias
  • Protecting user privacy
  • Designing for transparency and consent

Why it matters in production

Hallucinations have cost real money and real reputations in 2026. Engineers who think safety-first ship features that actually scale instead of getting pulled.

Lessons in this module

  1. 1

    Lesson 11.1

    Hallucinations: causes and concrete mitigations

    2 min
  2. 2

    Lesson 11.2

    Prompt injection: attacks and defenses

    2 min
  3. 3

    Lesson 11.3

    Bias: where it comes from and how to reduce it

    2 min
  4. 4

    Lesson 11.4

    Privacy and data handling

    2 min
  5. 5

    Lesson 11.5

    The responsible AI checklist for every feature

    2 min

Recap

You now think safety-first: hallucinations defended, injection-resistant, bias-aware, privacy-respecting, and shipped with a checklist. Your apps are now production-grade in the most important dimension.

Ready to start?

Open Lesson 11.1: Hallucinations: causes and concrete mitigations

Start first lesson