Copyrightability of AI Generated Work

September 25th, 2024|Categories: CLE Webinar|Tags: , , , , , , , , , |

Take this webinar featuring Perkins Coie LLP attorneys Lisa Ortiz and Sean West to gain a better understanding of the challenge of determining human authorship in AI-generated works, the guidance and disclosure rules established by the Copyright Office, the importance of addressing copyright ownership and usage rights in AI-related license agreements, and the implications of joint ownership of AI models and output. Learn about the categories of work in which AI is being applied in the practice of law, e.g., legal research, document drafting, deposition preparation, and discovery review. Understand the various risks associated with AI, e.g., biased and inaccurate outputs, unauthorized disclosures of private data, and intellectual property infringement.  Get an overview of governmental regulation and guidance. Finally, start your journey to develop best practices in establishing AI governance teams and processes with an eye toward complying with regulations and mitigating risk. Check it out!

Trademarks, Copyrights, Brands, T-Shirts, and Champagne with Tiffany Gehrke and Kelley Gordon

August 7th, 2024|Categories: Emerging Litigation & Risk, Podcasts|Tags: , , , , , , , , , , , , , , , |

In this episode, we discuss three matters relevant to anyone watching copyright and trademark law, or anyone fond of branded t-shirts and fancy French beverages, with guests Tiffany Gehrke and Kelley Gordon, both Partners at Marshall, Gerstein & Borun LLP. Listen and learn more! Tom even (somewhat) learned how to say something in French. Mon dieu, people!

Copyright Issues in Generative AI for Software: Doe v. Github, Inc. et al.

January 17th, 2024|Categories: Emerging Litigation & Risk, HB Emerging Law Notes, HB Tort Notes, Journal on Emerging Issues in Litigation, New Featured Post for Home Page, Tort Litigation|Tags: , , , , , , , , , |

The ongoing case of Doe v. Github Inc. et al. addresses copyright-related issues inherent in the Copilot generative AI that allows users to enter prompts to generate software code. This case addresses many of the issues involved in the training and use of generative AI for generating software code. The author, Jeffrey Gluck examines these issues, which he anticipates will have far-reaching implications for AI-generated works in the future. As Jeffrey notes, "Github is a case that may have far-reaching implications for AI-generated works in the future".

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