AI Image Generators and Copyright
Eligibility in the U.S., UK, EU, and More; Fair Use, Derivative Works, Liability
A live 90-minute premium CLE video webinar with interactive Q&A
This CLE webinar will guide IP counsel on copyright issues associated with artificial intelligence (AI) image generators. The panel will examine eligibility for copyright protection in the U.S. and compare the U.S. approach with other countries. The panel will also discuss whether and when the creation and use of image generation tools and AI-generated images may infringe or violate the copyrights of others.
Outline
- AI-generated works of art and copyrightability
- Eligibility in the U.S.
- Eligibility in other countries
- AI image generators and copyright infringement
- Derivative works
- Fair use and other defenses
- Liability in other jurisdictions
- Best practices
Benefits
The panel will review these and other critical issues:
- What hurdles confront counsel when demonstrating authorship of AI-generated works?
- How does copyright apply to AI-generated works? How does it differ across jurisdictions?
- What steps can counsel take to increase the likelihood of success when seeking copyright protection for AI-generated works?
Faculty

Michael R. Graif
Partner
Brown Rudnick
Mr. Graif’s practice focuses on trademark and copyright enforcement, technology transactions and licensing,... | Read More
Mr. Graif’s practice focuses on trademark and copyright enforcement, technology transactions and licensing, artificial intelligence, trade secrets, fair use, and online brand protection, including social media, publicity and domain name issues. As a Certified Information Privacy Professional (CIPP/US), he also advises his clients on data and privacy rights. Mr. Graif also counsels companies in AI matters. He develops and implements Generative AI guidelines, addressing confidentiality, IP and privacy issues, specifying approved GenAI tools, and training employees on responsible GenAI use. Mr. Graif also helps companies draft and negotiate AI development agreements, with a particular focus on data governance provisions, ensuring protection for developed models and input and output data, together with appropriate indemnities. He teaches social media law as an Adjunct Professor at the University of Pennsylvania Carey Law School and Benjamin N. Cardozo School of Law.
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