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Overview
Why You Should Attend
Join our experienced faculty as they explore the unique and cutting-edge legal issues arising out of the intersection between artificial intelligence and intellectual property, and how issues at this intersection can have a direct impact on your clients, their businesses, and require thoughtful and innovative approaches to internal policies, governance, and litigation. This program will focus on AI, IP, and data rights issues at the US Federal level with a special emphasis on how major IP and data issues are developing in California and affecting businesses in Silicon Valley and beyond.
What You Will Learn
- After completing this program, participants will be able to:
- Identify the major issues at the intersection of artificial intelligence and intellectual property, including the risks of generative AI and the risks associated with the use of AI-based products that utilize predictive AI algorithms or foundation models
- Gain an understanding of how one can manage an IP portfolio and license intellectual property in the context of AI-generated inventions and technologies
- Develop internal policies and governance frameworks to regulate AI usage, product creation, and adoption within an organization
- Consider issues at the intersection of AI, IP, and data rights, and how those issues might impact your organization’s perspectives regarding intellectual property.
Who Should Attend
This program is ideal for attorneys who counsel clients on any issues pertaining to artificial intelligence and intellectual property, whether the clients are merely a user of AI tools (such as generative AI), or whether their clients are a developer of any number of AI products and tools.
Program Level: Overview
Prerequisites: An interest in the legal issues posed at the intersection of Artificial Intelligence and Intellectual Property.
Advanced Preparation: None.
Intended Audience: This program is ideal for attorneys, including both intellectual property and technology attorneys, who counsel clients on any issues relating to emerging technology, artificial intelligence, the internet of things (IoT), and related issues.