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Tokenline

Line 3 · Use AI with integrity

Ethical & Responsible AI

Spot hallucinations and bias, protect your privacy, cite AI honestly, recognize deepfakes, and decide when a human — not a model — should make the call.

  • About 43 minutes
  • 300 lesson XP
  • 4 interactive labs
6 lessons
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Stations on this line

  1. Hallucinations: When AI Sounds Sure and Is Wrong

    Why AI tools sometimes invent facts, sources and quotes — and how to catch it before it ends up in your work.

    Not started
    • 7 min
    • +50 XP
    • Lab: Hallucination Hunt

  2. Bias & Fairness: Whose Patterns Does AI Learn?

    How unfair patterns get into AI systems, why they matter when AI makes decisions about people, and what fairness checks look like.

    Not started
    • 8 min
    • +50 XP
    • Lab: Biased Screener

  3. Privacy: What Not to Tell a Chatbot

    What can happen to what you type into AI tools, and a simple rule for deciding what to share and what to shield.

    Not started
    • 6 min
    • +50 XP
    • Lab: Share or Shield?

  4. Academic Integrity: Using AI Without Cheating Yourself

    How to tell helpful AI use from dishonest use, follow your teacher's policy, and disclose and cite AI when you use it.

    Not started
    • 8 min
    • +50 XP

  5. Deepfakes, Copyright & Misinformation

    How AI-generated images, audio and video can mislead, how to check before you share, and the open questions around AI and creators' rights.

    Not started
    • 7 min
    • +50 XP

  6. Human Oversight: Knowing When Not to Use AI

    Why people must stay accountable for important decisions, what "human in the loop" means, and situations where AI is the wrong tool.

    Not started
    • 7 min
    • +50 XP
    • Lab: Who Should Decide?