The Bermuda Triangle of Innovation: AI, Digital Assets & Legal Personhood

This course explores the legal, regulatory, and corporate frontiers where artificial intelligence intersects with digital assets and corporate law. Designed for legal practitioners, compliance officers, technology developers, and industry executives, this session examines how autonomous AI agents operate within financial markets, the liability risks created by AI system errors, the debate over corporate legal personhood for AI (Delaware AIC proposal), comparative global regulatory regimes (EU AI Act vs. UK Autonomous Vehicles Act), and mechanisms for integrating agents into commercial law via UCC Article 12 and Sovereign Agent Rights.

Learning Objectives:

1. Distinguish AI Agent Capabilities & Payment Rails: Differentiate between passive LLM chatbots and autonomous AI agents, evaluating how digital assets and HTTP payment protocols (X42 / x402) enable autonomous economic activity.\
2. Analyze AI Liability & Corporate Personhood Proposals: Examine key liability precedents (Moffatt v. Air Canada, Verlagshaus v. Google) and evaluate Delaware's proposed AI Company (AIC) framework alongside fiduciary duty objections.\
3. Compare International Regulatory Models: Contrast the EU AI Act's top-down compliance regime with the UK Autonomous Vehicles Act's "Full Liability Stack" model (Authorized Self-Driving Entities) and Bermuda's agent corporate governance pilot.\
4. Implement Commercial Law & Agent Rights Frameworks: Utilize the Declaration of Sovereign Agent Rights and UCC Article 12 Controllable Electronic Records (CER) to establish legally enforceable ownership and commercial accountability for AI agents.