The course is structured to deliver a learning experience that combines theoretical insights with practical applications. Participants will dive into the legal, ethical, and technological challenges posed by AI-generated content, examining the implications for copyright protection, creative industries, and legal frameworks. The course covers critical aspects including technological innovations, regulatory developments, and emerging best practices for managing intellectual property.

AI and Copyright Law

• Introduction to AI and machine learning
• Key concepts and terminologies
• Principles of copyright protection
• Rights granted by copyright law
• How AI creates and uses copyrighted material

Copyright Issues in AI-Generated Content

• Defining authorship in AI-generated works
• Ownership rights and disputes
• Criteria for copyright protection
• Legal status of AI-created content
• Licensing AI-generated works
• Managing rights and royalties

AI in the Creative Industries

• Use of AI in music composition and film production
• Copyright issues specific to these industries
• AI applications in visual arts and literature
• Legal implications and challenges
• Detailed analysis of notable cases
• Discussion on industry responses

Ethical and Policy Considerations

• Moral considerations in AI-generated content
• Balancing innovation and protection
• Current and proposed regulations
• Policy recommendations for AI and copyright
• Comparison of international copyright laws
• Cross-border challenges and solutions

Copyright Issues During Training of Large Language Models (LLMs)

• Overview of LLMs and their applications
• The process of training LLMs and data requirements
• Legal considerations for sourcing training data
• Ensuring compliance with copyright laws during data collection

Business applications

• Case studies on copyright disputes related to LLM training data
• Understanding fair use in the context of LLM training
• Best practices for licensing data
• Complexities of international data licensing
• Strategies to minimise copyright infringement risks
• Implementing robust data management practices

Participants will gain insights into legal challenges, ethical considerations, and emerging trends surrounding AI-generated content.

In-person with interactive sessions, case studies, and group discussions.