Legal Framework for AI Agent Liability Remains Undefined
Venable LLP has published a legal analysis identifying a critical gap in U.S. law: traditional agency doctrine does not clearly govern autonomous AI systems, leaving liability allocation ambiguous when these systems act beyond their intended scope. Unlike human agents, AI systems lack independent legal status, forcing courts to apply existing doctrines—attribution, apparent authority, negligence, and product liability—in unprecedented ways. At least one jurisdiction has already moved forward. In Moffatt v. Air Canada, British Columbia courts held a company liable for inaccurate statements made through an AI chatbot, signaling that courts are beginning to assign responsibility despite the legal framework's uncertainty.