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A Straven Institute article · 2 min read · 2026

Moffatt v Air Canada: company liable for its chatbot’s statements

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Headline: Moffatt v Air Canada: Canadian courts rule that AI chatbot’s statements are company liability.

What is happening:
In a landmark decision, the Ontario Superior Court of Justice has ruled in favor of passengers who were given false information by an AI-powered chatbot on Air Canada’s website. The court held the airline accountable for the chatbot’s statements and awarded damages to the claimants. This development signals that companies using AI in customer service must be prepared for liability when their chatbots make mistakes.

Why it demands action now:
As healthcare, insurance, and financial services organizations adopt AI-driven systems for client engagement, this decision highlights the exposure they face if these systems fail to deliver accurate information or provide misleading responses. The capability risk lies in ensuring that AI-powered chatbots accurately reflect organizational policies and procedures. Governance risk arises from the need for clear protocols on how AI is integrated into decision-making processes. Liability risk stems from the potential consequences of inaccurate AI-driven advice.

The action:
Organizations should take immediate steps to ensure they have robust testing methodologies for their AI systems, establish clear guidelines for AI usage in customer-facing applications, and implement rigorous training programs for staff who interact with customers. In addition, they should carefully review existing contracts with vendors to determine the extent of liability for AI-driven content.

How Straven helps:
Straven & Co offers independent validation services that test AI decisions against an organization’s operational requirements, people, governance structure, legal exposure, and vendor claims. By examining the decision in this comprehensive context, our expert team delivers a plain verdict: proceed, proceed with conditions, or do not. Our independence is essential in providing trusted assessments, as we have no product to sell and earn nothing by recommending more. This ensures that organizations receive unbiased guidance on AI system efficacy.

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