AI, Platforms & Data · IP

ChatGPT: A Case Study on Copyright Challenges for Generative Artificial Intelligence Systems

This course explores copyright challenges related to generative AI, using ChatGPT as a central case study. It examines how AI systems rely on large datasets — often containing copyrighted material — for training, raising questions about fair use, derivative works, and the legality of data use. The course discusses potential copyright infringements and offers strategies to protect rights holders while promoting AI innovation. Special focus is given to how copyright laws may need to evolve to address authorship and ownership in AI-generated content.

Introductory12 lessons1 questions

What is covered

  1. 1Meet the author
  2. 2Session 1 – Introduction
  3. 3Session 2 – ChatGPT: The AI language model revolutionising content creation
  4. 4Session 3 – An analysis of the ChatGPT case study: the question of the output
  5. 5Session 4 – An analysis of the ChatGPT case study: the question of originality
  6. 6Session 5 – An analysis of the ChatGPT case study: the question of the input
  7. 7Session 6 – Source attribution and other copyright challenges in language models
  8. 8Session 7 – Exploring alternatives for safeguarding AI training data
  9. 9Session 8 – Conclusions
  10. 10Read Paper
  11. 11We would love your feedback!1 question

Prepared by

Nicolas Lucchi

Take this course free

Create an account and start in the browser. Nothing to install, no card needed.

Get started free