Generative AI platforms can create diverse content, such as marketing materials, translations, and source code. However, they also raise various legal issues, such as who owns the output, whether it infringes on existing works, and whether it is eligible for protection. As generative AI becomes more widespread and used by employees in different industries, companies need to be careful about how they adopt and use these platforms, especially how they handle the output and integrate it with other information.
This program, by Emily Tait and Carl Kukkonen, will discuss the legal challenges of using generative AI, and the potential impact of the U.S. Supreme Court’s ruling in Warhol Foundation v. Goldsmith.
Decentralized Autonomous Organizations (DAOs) and other digital-native structures have moved from ni...
This course analyzes federal contractor obligations under the Trade Agreements Act. Learn how to ens...
This one-hour CLE program examines the impact of implicit and systemic bias within the legal profess...
This course examines the latest legal and compliance developments in the artificial intelligence (AI...
U.S. businesses providing online services that are used by minors face a rapidly evolving patchwork ...
This course analyzes federal contractor cyber security obligations under the Federal Acquisition Reg...
This course on trade secrets litigation provides real-world best practices through all key stages of...
Lawyers regularly communicate with clients who are angry, overwhelmed, frightened, unrealistic, or d...
Most legal professionals are operating in survival mode whether they realize it or not. Not crisis-l...
During this course, we will go over your rights under the Freedom of Information Act (FOIA) and Priv...