Generative AI and Copyright Law: A Practitioner's Survey

October
22
2026 (Thursday)
Time 10:00 AM PDT | 01:00 PM EDT
Duration: 60 Minutes
31 Days Left To REGISTER
Id: 213373
Instructor
Eran Kahana 
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Overview

This presentation provides a comprehensive overview of the copyright issues surrounding generative AI-training data, output ownership, and ongoing litigation. It addresses the copyrightability of AI-generated output under the human-authorship requirement and reviews U.S. Copyright Office guidance on registering works containing AI-generated material across the spectrum of human involvement.

It then examines training data and fair use-the mechanics of training large language models (LLMs) and image generators on copyrighted works and the four fair-use factors, with emphasis on transformative use and market harm. The program surveys the current litigation landscape, including Getty Images v. Stability AI and Andersen v. Stability AI and Digital Millennium Copyright Act (DMCA) claims over copyright-management information (CMI), and closes with practical advice for both creators and companies.

Why you should Attend

Businesses are deploying generative tools into content pipelines while the rules governing ownership and infringement remain in active litigation. A registration denied for lack of human authorship, or a fair-use theory that collapses at trial, can undo a product strategy. This session gives practitioners a current, usable map of the copyrightability, fair-use, and litigation terrain, plus concrete risk-mitigation steps.

Areas Covered in the Session

  • Copyrightability of AI-generated output and the human-authorship requirement
  • U.S. Copyright Office guidance on registering works containing AI-generated material
  • The spectrum of human involvement, from prompt engineering to traditional creation
  • The mechanics of training LLMs and image generators on copyrighted works
  • The four factors of fair use applied to AI training
  • Transformative use and market harm
  • Major pending litigation, including Getty Images v. Stability AI and Andersen v. Stability AI
  • Direct and vicarious infringement, and DMCA claims over copyright-management information (CMI)
  • Practical advice: protecting works from AI scraping and mitigating risk in AI-assisted content creation

Who Will Benefit

  • Intellectual-Property and Copyright Attorneys
  • General Counsel and In-House Counsel
  • Content, Media, and Brand Executives
  • Chief Product Officers
  • Licensing and Rights Managers
  • Creators and Creative Directors
  • Compliance Officers

Speaker Profile

Eran Kahana is an AI, cybersecurity, and intellectual property lawyer as well as a Fellow at Stanford Law School.

In his practice, Eran counsels clients on a wide variety of matters related to AI, cybersecurity, privacy, technology law, trademarks, patents, and copyright issues. Eran also serves in a variety of cybersecurity thought leadership roles and works closely with the FBI, Department of Justice, Secret Service, and colleagues from the private and academic sectors to set, promote, and sustain cybersecurity best practices.

At Stanford Law School, Eran writes and lectures on the intersect between law and AI and is a frequent speaker at Stanford's annual Digital Economy Best Practices Conference. He has been cited in Oxford University Professor Marcus Du Satoy’s book The Creativity Code: Art and Innovation in the Age of AI and has been interviewed on AI, cybersecurity, privacy, and technology law by Bloomberg Law, BBC, Canadian Broadcasting Corporation (CBC) radio, KABC radio, Minnesota Public Radio, Twin Cities Business magazine, Star Tribune, Minnesota Lawyer, TheStreet.com, Quartz magazine, KARE 11, and Stanford University Radio, KZSU FM.
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