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    Generative Artificial Intelligence in the Courts: What Judges Should Expect to See [CC]

    Generative Artificial Intelligence in the Courts: What Judges Should Expect to See [CC]
    CLE 90 min

    Generative Artificial Intelligence in the Courts: What Judges Should Expect to See [CC]

    Generative artificial intelligence (GAI) seems to be ubiquitous. Its use has led to litigation under various theories of liability and that litigation will only multiply. Moreover, GAI should be expected to be the subject of discovery and to be offered into evidence. This program will address these and related topics for the benefit of judges and staffs which will deal with GAI in their courtrooms.

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    Closed Captioned.

    Judges should expect to "encounter" GAI. GAI or, more specifically, the various platforms that ingest data and "generate" an image or document in response to a "prompt," may create something "new." At the same time, whatever is created may lead to allegations that data was ingested without consent or in violation of various laws and to allegations that the "creation" invaded privacy or infringed on intellectual property rights. All this highlights a need for case management focused on GAI, complex discovery into the platform and image in issue, the central role of experts, and disputes about admissibility of GAI. This program will examine these and related topics. At the end of this program, attendees will:

    • Understand the nature of GAI and the causes of action that might arise from its use.

    • Recognize how discovery might be conducted of GAI and the role of experts in discovery of GAI.

    • Appreciate case management issues that might arise when GAI is a "feature" of litigation.

    • Understand how existingevidence rules can be used to address admissibility of GAI.

    • Appreciate prophylactic measures judges have taken to address GAI.

    Product Details

    Sponsors

    Judicial Division, Thomson Reuters

    Product Code

    JD2402GAICOLC

    Duration

    90

    Publication Date

    2/8/2024 12:00:00 AM

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