Copyright Law Meets Generative Models: Harnessing AI for Dispute Resolution

Overview

Join us to examine the impact of generative AI on copyright law and discover how these transformative models can be utilized to advance legal analysis and inform rulings in copyright conflicts.

Hosted by the University, this insightful session available on YouTube is perfect for those interested in the evolving crossroads of artificial intelligence and legal practice.

Syllabus

• Introduction to Copyright Law
Overview of copyright fundamentals
Key principles and rights under copyright law
Case studies of traditional copyright disputes
• Basics of Generative AI
Understanding generative models (e.g., GANs, transformers)
Key applications of generative AI
Ethical considerations in generative AI
• Intersection of Generative AI and Copyright Law
Analysis of copyright challenges posed by generative AI
Case studies of generative AI impacting copyright
Review of current legal frameworks and their limitations
• Analyzing Copyright Infringement with AI
How AI can identify and analyze potential infringements
Tools and techniques for AI-driven legal analysis
Case studies of AI use in legal decision-making
• Leveraging AI in Legal Practice
AI applications to streamline legal research and documentation
Use of AI for predictive analysis in dispute outcomes
Ethical use of AI in legal contexts
• Frameworks for Dispute Resolution
Innovative approaches utilizing AI for dispute settlement
Mediation and arbitration supported by AI models
Development of AI-based tools for real-time legal support
• Future Directions and Innovations
Emerging trends at the intersection of AI and copyright law
Preparing for future disruptions and policy developments
Encouraging responsible AI innovation in legal contexts
• Course Conclusion
Recap of key learnings
Discussion on the evolving role of AI in the legal sector
Final project presentations and peer feedback

---

Subjects

Computer Science