Recognize the IP risks that arise as artificial intelligence and machine learning take a greater foothold in your business. Our three-part seminar will present solutions to risks that are unique to AI/ML, including:

• Protecting against copyright and other IP claims that may attach to AI/ML inputs, models, and outputs;
• Navigating IP and privacy considerations for AI systems implemented in edge computing and peripheral devices; and
• Establishing and enforcing trade secret protection of AI/ML development.

For executives and in-house counsel at companies embracing AI/ML, this complimentary three-part Minimum Continuing Legal Education course will empower you to stay ahead of the developing legal landscape.

Session III | Trade Secret as a Mechanism for Protecting AI/ML Development

When investing in artificial intelligence and machine learning process and algorithm innovation, one should consider how to protect that investment from misappropriation. In this presentation, learn to identify, define, and capture those components of your AI/ML development process and training data that are distinguishable from shared advancements in the field.

Moderator

David A. Prange
Partner
Robins Kaplan LLP

Additional Speakers to Be Announced

CLE Accreditation

Robins Kaplan LLP will seek approval with the Mandatory Continuing Legal Education Board in Minnesota for 1.0 hour of standard credit for each session. The Berkeley Center for Law & Technology will seek approval with the Minimum Continuing Legal Education Board in California for 1.0 credit hour for each session.

Questions? Contact Christine Berndt at
CBerndt@RobinsKaplan.com or 612.349.8404.