AI Lessons
Lesson 16: Ethics in AI

Purpose: Students examine how the generation and tracking tools they have now used can be misused, and develop a practical sense of consent, disclosure and responsible use.

No. of Classes

1 - (Time : 1 hour 30 minutes, Laptops/desktops : 10, Students strength : 15 to 20).

Materials Required

Laptop / Desktop with Internet connection / Wi-Fi.

Curriculum Content

1. AI Literacy

  • 1.5 Reliability and limitations of AI systems
  • 1.6 Bias, safety and ethics of AI usage
Prior knowledge
  • Face and pose tracking applications (Lessons 10–12)
  • Generative video and voice synthesis tools (Lessons 4 & 13)
  • Basic understanding of training data and bias
Exercises

Exercise (1) - Deepfake Detection Game


  • Students are shown a set of images, short video clips and audio samples and vote on which are real and which are AI-generated, before the answers are revealed. Discuss how confident they felt and what cues, if any, gave the fakes away.
  • Click here to download the sample files for exercise-1

Exercise (2) - Unplugged Discussion: Consent & Impact


  • Revisit the tools already used in the course—face tracking, video generation, and voice generation. For each, discuss: (a) who is in the image or voice, (b) who gave permission, (c) who could be harmed. Introduce the idea of consent.

Exercise (3) - Case Scenarios in Small Groups


  • In small groups, work through the given real-world scenarios - 1. a fake voice note from a classmate 2. a filter that lightens skin tone 3. a generated video of a public figure.
  • Decide whether each is acceptable, and what should change to make it acceptable.

Exercise (4) - Class AI Use Agreement


  • Draft a short 'AI use agreement' - three to five rules you will follow for the rest of the course when generating or capturing images, video and audio of real people.

Solutions


Teacher's Instruction:
  1. Introduce Exercise 1 with an interactive warm-up game ("Real vs. AI"):
    • Point out common artifact cues (e.g., unnatural lighting, asymmetrical glasses, mismatched lip sync, robotic audio etc).
    • Emphasize that as AI generation improves, relying purely on human sight and hearing becomes insufficient.
  2. Guide the Unplugged Discussion (Exercise 2):
    • Connect back to hands-on projects students created in previous lessons. Ask: "How would you feel if someone used your voice or image in a project without telling you?"
    • Define Informed Consent clearly: knowing how your data will be used, agreeing freely, and having the option to say no.
  3. Facilitate Scenario Analysis (Exercise 3):
    • Divide the class into groups of 3-4 and assign one scenario per group.
    • Encourage students to evaluate scenarios using three questions: Is it honest? Could it cause harm? Did everyone involved consent?
  4. Synthesize and Draft the AI Use Agreement (Exercise 4):
    • Lead a brief brainstorming session to consolidate key rules (e.g., "Always ask before recording someone," "Clearly label AI-generated media," "Never create media intended to embarrass others").
  5. Points to Ponder:
    • How does spreading unverified synthetic media impact trust in news and community events?