About This Course
Generative AI & Intellectual Property Rights is an interdisciplinary international course designed to explore the complex legal and policy challenges arising from the use of generative AI tools like ChatGPT, Midjourney, DeepSeek, and others in creating content, code, images, music, and more. As AI blurs the line between human and machine creativity, this course brings together legal professionals, AI developers, scholars, and policymakers to discuss how Intellectual Property (IP) law is adapting to this fast-evolving landscape. Through real-world case studies, international legal precedents, and regulatory debates, participants will gain a deep understanding of the current and future state of AI-generated works and IP rights.
Aim
The course aims to provide participants with a critical and practical understanding of the legal and ethical issues surrounding IP in the context of generative AI, focusing on copyright, authorship, ownership, licensing, and the risks of infringement in AI-generated works.
Course Structure
📅 Module 1 – Global Copyright Laws & Legal Case Studies
- Lecture: “Global Copyright Laws: Case Studies from Stability AI to NYT vs. OpenAI” – Understand the key copyright laws that govern AI-generated content and explore significant legal cases, including Stability AI and the NYT vs. OpenAI case.
- Case Study: “Ownership Challenges in AI-Generated Artworks” – Analyze the ownership issues that arise with AI-generated art and how current laws address these challenges.
📅 Module 2 – Legal Debates & Policy in AI Content Creation
- Debate: “Public Domain Status of AI-Generated Content: Pros and Cons” – Engage in a debate about whether AI-generated content should fall under public domain and the implications this has for creators, users, and the law.
- Activity: “Drafting Licensing Agreements for AI-Generated Research Outputs” – Learn how to draft licensing agreements for AI-generated research, exploring the nuances of ownership, rights, and restrictions.
- Submission: “Showcasing Top Licensing Agreements” – Present your drafted licensing agreements and receive feedback on their compliance with current legal frameworks.
Course Outcomes
- Understand How Existing IP Frameworks Interact with AI-Generated Content: Gain clarity on how traditional IP laws are applied (or not) to AI-generated works.
- Analyze Copyright Eligibility, Infringement Risk, and Fair Use Boundaries: Learn how to assess whether AI-generated content is eligible for copyright and the potential risks of infringement.
- Learn Licensing Structures and Open-Source AI Implications: Explore licensing structures for AI-generated works and the implications of open-source AI systems.
- Evaluate Ongoing Legal Battles and Landmark Rulings: Study current legal challenges, including ongoing lawsuits, and landmark rulings shaping the future of AI and IP.
- Develop Awareness of Global Policy Directions and Future Legislation: Stay updated on global policy movements and anticipate future legal developments in the field of AI and IP.
- Earn a Recognized Certificate: Upon completion, participants will receive a certificate of participation, demonstrating legal literacy in AI and intellectual property intersections.
Who Should Enrol?
- IP Lawyers: Looking to understand the intersection of AI and intellectual property law.
- Digital Artists: Interested in learning how their AI-generated content fits within the current IP landscape.
- Computer Scientists: Working on or studying generative AI tools and their implications on intellectual property.









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