Navigating Chatbot Liability: Who Owns AI’s False Claims?

The legal landscape surrounding chatbot liability has shifted dramatically, compelling businesses to confront the tangible risks associated with AI-generated misinformation. No longer are the inaccuracies of conversational AI mere product quality issues; they are now direct sources of corporate legal and financial exposure.

Defining AI’s Faux Pas: Hallucinations and Confabulations

Artificial intelligence systems, particularly large language models, can produce two distinct types of erroneous outputs that carry significant implications for businesses. A hallucination manifests as a completely fabricated piece of information—think of a made-up citation, an incorrect numerical value, or a non-existent name presented as fact. These are outright inventions by the AI, often delivered with an air of absolute certainty, making them difficult for an unsuspecting user to identify.

Conversely, a confabulation occurs when the system lacks a definitive answer but, rather than admitting ignorance, fills the informational void with plausible-sounding content. This content, while often contextually relevant, is ultimately baseless. What makes confabulations particularly insidious is their presentation: they mimic genuine company policies or customer service responses, carrying the same authoritative tone. How can a customer distinguish between a genuine directive and an AI’s convincing fabrication? To both the user interacting with the bot and any subsequent legal review, the perceived authority of these statements is identical, directly binding the company to the AI’s pronouncements.

The Air Canada Precedent: A Costly Bereavement Fare

The legal vulnerability of companies relying on AI chatbots solidified in February 2024 with a landmark ruling by the British Columbia Civil Resolution Tribunal. In the case of Moffatt v. Air Canada, 2024 BCCRT 149, the airline was held responsible for a chatbot’s fabricated bereavement fare policy. Jake Moffatt, a customer, consulted Air Canada’s chatbot after a family bereavement and was explicitly informed he could purchase a full-fare ticket and retroactively claim a discount within 90 days. Such a retroactive policy, however, did not exist within the airline’s official terms.

When Air Canada subsequently denied Moffatt’s claim, its defense argued that the chatbot was solely accountable for its statements. This position was unequivocally rejected by tribunal member Christopher Rivers, who described the submission as “remarkable,” implying a misguided attempt to externalize corporate responsibility. The tribunal’s decision was stark: it ordered Air Canada to compensate Moffatt 812.02 Canadian dollars (approximately $570) in damages and associated fees. This ruling set a clear precedent, establishing that corporations are unequivocally liable for statements made by their AI systems acting on their behalf, irrespective of whether these statements were intentional or simply the product of an AI filling a perceived knowledge gap.

The Cursor Incident: An Invented Subscription Policy

Another compelling illustration of the rapidly evolving landscape of chatbot liability emerged in April 2025, involving AI coding startup Cursor. Their AI support bot, named Sam, erroneously informed a developer that a new company policy restricted each subscription to a single device. This policy was entirely fictitious. The bot had, in essence, invented a new term of service, causing immediate confusion and concern among users.

The fabrication quickly spread across popular developer forums like Hacker News and Reddit before the company could issue a correction. Michael Truell, Cursor’s Co-Founder, had to publicly address the issue on Reddit, clarifying, “Hey! We have no such policy. You’re of course free to use Cursor on multiple machines. Unfortunately, this is an incorrect response from a front-line AI support bot.” This incident underscores the speed at which AI-generated misinformation can propagate and the immediate reputational damage it can inflict, even when swiftly corrected. The challenge for businesses isn’t just correcting false information, but managing the initial fallout of its dissemination.

“The shift from viewing AI errors as mere technical glitches to recognizing them as direct legal and financial liabilities marks a profound change in corporate responsibility, demanding a re-evaluation of how AI is deployed and governed.”

Insuring Against AI Risk and Regulatory Oversight

Recognizing the burgeoning risks, the insurance sector and regulatory bodies are swiftly adapting to the realities of AI. In May 2025, Lloyd’s of London, through the startup Armilla, launched a specialized insurance product explicitly designed to cover losses stemming from AI hallucination. These policies protect businesses against legal claims from customers or third parties harmed by an underperforming AI product. This development highlights a crucial market response, transforming what was once a software bug into an insurable risk category.

Furthermore, regulatory attention has intensified. FINRA’s 2026 Annual Regulatory Oversight Report specifically flagged AI hallucinations as a critical compliance concern for broker-dealers. The report urged firms to establish robust procedures for managing AI agents that might operate beyond their intended scope. FINRA’s clear definition of hallucinations—instances where a model produces inaccurate or misleading information while presenting it as fact—serves as a warning to financial institutions. This proactive regulatory stance signals a future where AI governance will be as scrutinized as traditional compliance frameworks. Simultaneously, significant investment is flowing into solutions, exemplified by Scaled Cognition raising $100 million in June to develop enterprise-grade hallucination controls, indicating that the market now values mitigating these errors as a substantial financial imperative.

What Should You Do About Chatbot Liability?

Given these recent legal precedents and regulatory warnings, businesses deploying conversational AI must urgently reassess their risk mitigation strategies. Are your chatbots genuinely reflecting your company’s policies, or are they prone to invention?

Companies need to implement rigorous testing protocols, including adversarial testing, to identify and minimize the occurrence of hallucinations and confabulations. Establishing clear escalation paths for customer queries that AI systems cannot definitively answer is also paramount. This involves ensuring human oversight is readily available, preventing bots from confidently fabricating responses when unsure. Moreover, clear disclaimers about the AI’s limitations and the need to verify critical information could provide a partial defense, though recent rulings suggest such disclaimers alone may not absolve full chatbot liability. Investing in advanced AI governance frameworks and potentially, specialized insurance, becomes not just a prudent measure but a necessity for operational continuity and legal protection in the AI-driven economy.

AI Chatbot Legal Implications – Disclaimer

This article provides general information regarding legal and financial aspects of AI chatbot deployment and does not constitute legal, financial, or investment advice. The landscape of AI regulation and liability is rapidly evolving, and individual circumstances may vary. Readers should consult with qualified legal and financial professionals to address their specific needs and assess risks related to AI integration within their operations.