Day 1: IPR in the Digital Age

1. Overview of Intellectual Property Rights

• Types of IP: patents, copyrights, trademarks, trade secrets
• International IP frameworks and treaties
• Challenges posed by digital technologies to traditional IP concepts

2. AI-Generated Works: Copyright Challenges

• Legal status of AI-created content
• Authorship and ownership issues in AI-generated works
• Copyright duration and AI: perpetual copyright dilemma
• Case studies: AI art, music, and literature copyright disputes

3. Legal Status of AI-Generated Inventions

• Patent eligibility of AI-generated inventions
• Inventorship requirements and AI systems
• Disclosure and enablement challenges in AI patents
• Analysis of recent patent office decisions on AI inventors (e.g., DABUS cases)

Day 2: AI and IP Law in Practice

1. AI as a Tool for IP Management and Enforcement

• AI-powered patent and trademark searches
• Automated IP portfolio management
• AI in detecting IP infringements online
• Challenges and limitations of AI in IP enforcement

2. Patent Issues in AI

• Patentability of AI algorithms and systems
• AI and the non-obviousness requirement
• Disclosure challenges in AI patents
• Comparative analysis of AI patent laws across jurisdictions

3. Workshop: Drafting IP Agreements for AI Technologies

• Key clauses in AI technology licensing agreements
• Ownership and usage rights for AI-generated content
• Liability and indemnification in AI IP agreements
• Confidentiality and data protection provisions

4. Group Exercise: Negotiating an AI Technology Licensing Agreement

• Simulation of license negotiation for an AI-powered legal tech tool
• Discussion on balancing interests of licensors and licensees
• Addressing unique challenges in AI IP licensing