About This Course
Artificial intelligence is expanding beyond language generation into systems capable of modeling and influencing the physical world. This CLE course examines the rise of Large World Models (LWMs) and physical AI systems that generate synthetic environments, simulate real-world outcomes, and increasingly impact engineering, robotics, and autonomous decision-making.
Participants will explore the legal risks and challenges created when AI tools move from visualization and scenario generation into design validation, optimization, and real-world decision-making. Topics include AI liability, product and professional responsibility, standards of care, intellectual property, data governance, regulatory issues, and the legal implications of synthetic reality and autonomous systems.
Attendees will learn to:- Understand the legal impact of emerging AI systems and Large World Models
- Identify liability risks associated with AI-assisted engineering and autonomous decisions
- Evaluate professional responsibility, regulatory, and risk-management issues involving AI-generated outcomes
- Recognize key legal challenges involving synthetic data, AI models, and physical AI applications
