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    On-Demand

    Risks Arising from Generative AI, Data, and IP

    61-minutes
    Up to 1 credit

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    Data as a business asset, Generative and Non-Generative AI, and the use of AI to improve data management are changing the legal landscape. They raise new questions about how to protect IP in data and in AI and introduce new IP infringement risks. This session will use hypotheticals to focus on these issues. After completing this session, participants will have a greater understanding of:

    • Pros and cons of copyright and trade secret protection for data
    • The New York Times litigation and the infringement risks of using third-party data in training data for AI
    • Is infringement in building AI training data the same as infringing output from Large Language Models?
    • How to address GenAI in defining IP and confidential information
    • Infringement and liability risks in using third-party data in enterprise data
    • How the “Decision Rights” data licensing model removes risks for licensees and licensors

    Brian J. Janura, William A. Tanenbaum

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