Generative AI and Copyright: Copyright Infringement
Presented by Yelena Ambartsumian
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Course Description
Length: 1h 0min Published: 8/25/2025 
Part two of the Generative AI and Copyright Series continues with another one-hour CLE course that examines copyright infringement risks and legal challenges arising from generative AI systems. The session will focus on training data practices, liability for outputs, and DMCA compliance. We will analyze key litigation trends, the fair use defense to copyright infringement, and discuss actionable strategies for mitigating infringement risks in AI development and deployment.
Learning Objectives
* Understand the different architectures of Generative AI models, including Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), autoregressive models, and diffusion models
* Understand the fair use doctrine, an affirmative defense in response to copyright infringement claims
* Evaluate fair use defenses in recent AI litigation, including transformative use arguments and conflicting court interpretations
* Develop practical strategies and best practices for minimizing legal risks and advising clients on the deployment, use, and incorporation of generative AI in creative and business processes
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Presented By:
Yelena Ambartsumian
New York, NY
(212) 804-5724
info@ambartlaw.com
