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