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Generative AI: A Gold Mine for Accelerated Development or a Risk of Copyright Infringement? ONLINE EVENT

March 6 @ 12:00 pm - 1:30 pm EST

Event Overview

Day & Time: Mar 6, 12-1:30 PM (EST)
Where: Online via Zoom
Registration: PANELIST BIOS AND REGISTRATION AT THIS LINK

The advent of generative artificial intelligence (AI) has revolutionized content development. AI content generators use AI models created by detecting patterns and relationships in digital content, such as images, texts, or sounds. While generative AI technologies have emerged as powerful, innovative tools for the future, there has been a solid backlash reverberating from the creative community and copyright holders about using their works without permission.

Meanwhile, many in the AI community have been operating with the understanding that using unlicensed copyrighted content as AI training data is “fair use” since there typically is no direct copying, but instead recognizing patterns and synthesizing the detected patterns into statistical modeling data, which is used to create AI models.

In an attempt to enforce their rights, copyright holders have reverted to litigation to protect their copyrights from being used to train AI systems without permission, and the courts are wrestling with a legal difficulty of whether the use of unlicensed copyrighted works as AI training material constitutes copyright infringement.

Join us to hear from our panel of experts for a discussion on AI technology and fair use in the AI content generator realm

This panel presentation will discuss:

  • How AI models can be engineered/generated from unlicensed copyrighted works and potentially be legally compliant.
  • Best practices for reducing legal exposure of generative AI innovations and creative works.
  • The impact of generative AI innovations and creative works in the public domain.
  • Evaluating whether AI models generated from copyrighted works are transformative fair use under copyright law.
  • Reviewing the Supreme Court cases that are most applicable to this issue.
  • Navigating the marketplace conundrum of accelerated generative AI innovation with reduced IP protection and increased competition.
  • Risks and benefits of widespread use of generative AI source code in the open-source software domain.

PANELIST BIOS AND REGISTRATION AT THIS LINK

Details

Date:
March 6
Time:
12:00 pm - 1:30 pm EST
Event Categories:
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Organizer

HBSR