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 I | No Rewind Button: Legal Pitfalls in Machine Learning Systems Machine learning systems present unique legal challenges because data that is ingested into those models often cannot be removed. If your model is tainted with ill-gotten data (from IP misappropriation, contract violations, etc.), it may be impossible to comply with court orders to remove the offending data. Learn to identify legal pitfalls in creating machine learning models and best practices for minimizing legal exposure from tainted data in these ML systems.