AI on the Edge: Legal Considerations for Artificial Intelligence Systems from Peripheral Devices
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.
Artificial intelligence power is increasingly being pushed to the edge of computing systems, such as hand-held devices and household appliances. Edge AI moves interaction as close to the user as possible by processing data locally, in real time, disconnected from the cloud. This architecture increases performance and responsiveness to the end user. However, collecting data and running AI more broadly through edge devices triggers new legal exposures, particularly with security, privacy, and licensing. Learn how courts and the patent office will treat Edge AI inventions, what constitutes a reasonable security measure in an Edge AI system, and what additional privacy risks exist.
Moderator: Kevin M. Pasquinelli; Partner, Robins Kaplan LLP
Panelists: Deepak Dutt; CEO, Zighra, and Michael D. Reif; Partner, Robins Kaplan LLP
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.