Topics discussed in this program include:
- Understanding AI in its various forms
- Review of relevant IP tools for the components of your AI ecosystem
- Understanding what types of human contributions can be protected when AI assists in its formation
- Identifying the digital assets in your AI ecosystem
- Licensing models and strategies that you can employ
- Address real-world strategies in action
The AI Revolution Demands New IP Strategies
Since ChatGPT burst onto the scene in 2022, the availability and use of generative and other forms of AI has exploded and become more and more popular as a tool for investigators to implement innovation.
Today’s AI ecosystem encompasses a complex web of components—proprietary and open-source software, training data, specialized models, and third-party integrations—creating unprecedented IP challenges and opportunities for innovators.
Join our panel, led by Charley Macedo, Partner and Thomas Hart, Associate at Amster, Rothstein & Ebenstein LLP, David Mallin, Licensing Manager, Physical Sciences at Stanford’s Office of Technology Licensing, and Dinesh Divakaran, Vice President of Partnerships, North America at Owkin, as they walk us through how to develop IP and licensing strategy for your AI ecosystem.
This TechPipeline program is essential for tech transfer professionals, inventors, researchers, and IP professionals navigating the rapidly evolving AI landscape. Register today to gain valuable insights and real-world strategies from our panel.
No humans were hurt in the development of this webinar presentation, but AI was used to assist in its drafting.
