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Animation & VFX · MS elective · 3 credit hours · 16 sessions

Ethics in AI Animation

As AI reshapes the industry, ethical literacy is as important as technical skill. This critical theory course examines the legal, moral, and societal implications of Generative AI. Students will debate copyright ownership of AI art, the impact of Deepfakes, bias in training data, and the future of human labor. The goal is to prepare responsible creators who can navigate the “Wild West” of synthetic media.

§ 01 By the end you can
  1. Analyze the legal landscape of AI Copyright (Fair Use vs. Theft)
  2. Understand "Deepfakes" and the potential for misinformation
  3. Detect Bias in AI models (Race, Gender, Style)
  4. Evaluate the impact of automation on the animation labor market
  5. Develop a personal and professional "Code of Ethics" for AI usage
§ 02 Sixteen sessions

The whole semester.

  1. 01The Rise of Generative AI: History & Tech
  2. 02Copyright Law 101: Authorship & Ownership
  3. 03The Training Data Debate: Scraping vs. Licensing
  4. 04Case Studies: Midjourney, Stable Diffusion, Artists' Class Actions
  5. 05Bias in Algorithms: Stereotypes in Generation
  6. 06Style Mimicry: Is it Plagiarism?
  7. 07Transparency: Labeling AI Content
  8. 08 · MidtermMidterm Examination
  9. 09Deepfakes: Consent & Identity Theft
  10. 10Misinformation & Political Manipulation
  11. 11The "Uncanny Valley" & Human Perception
  12. 12Automation anxiety: The Future of Jobs
  13. 13Human-in-the-Loop: Ethical Workflows
  14. 14Regulation: The EU AI Act & Global Laws
  15. 15The Soul of Art: Can Machines Create?
  16. 16Final Project: The Ethical Manifesto & Debate

Midterm around session 8. Final project briefed at session 8 or 9 and developed in stages until the juries.

§ 03 Final project

Final Project: The Ethical Manifesto & Debate

How it’s judged

Recommended reading
  1. The Age of AI: And Our Human Future by Henry Kissinger
  2. Weapons of Math Destruction by Cathy O'Neil
  3. Deepfakes: The Coming Infocalypse by Nina Schick
  4. Atlas of AI by Kate Crawford
  5. Copyright in the Age of Artificial Intelligence (Legal Journals/Whitepapers)
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