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Navigating Antitrust and IP challenges in AI and algorithms demands adapting traditional frameworks to address issues like algorithmic collusion and data dominance, while striking a balance between fostering innovation and preventing anti-competitive practices. Discussions on data access, interoperability, and ethics underscore the complexity of AI development and regulation. Regulatory developments will both influence and be influenced by AI innovation.
Join Cleve Tyler and Steven Gawthorpe of Berkeley Research Group, LLC, as they delve into the evolving dynamics of AI-driven markets, focusing on the challenges posed by monopolistic behaviors, data dominance, and algorithmic collusion.
Key issues that will be covered in this course are:
- Algorithmic Collusion and Market Dynamics
- Data Dominance and Monopolistic Behaviors
- Balancing IP Protections and Competition in AI Development
- Ethical Considerations in AI Algorithm Deployment
- Role of regulatory landscape and AI innovation