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A company once argued in court that their chatbot was a separate legal entity responsible for its own actions.
The tribunal called it "a remarkable submission."
They lost.
The company was Air Canada. Their chatbot had given a grieving customer completely wrong information about bereavement fares. When taken to tribunal, Air Canada's defense was essentially: that wasn't us, that was our chatbot.
It didn't work. Air Canada was held liable for everything on their website, chatbot included.
The "not our AI" defense doesn't exist.
Your AI tools make decisions on your behalf. Give information on your behalf. Represent your organization on your behalf.
When they get it wrong, that's on you.
And most organizations deploying AI have no framework for ensuring those outputs are accurate, compliant, or aligned with actual policy. Air Canada's failure wasn't the chatbot giving wrong information. It was the absence of any system to catch that error before a grieving customer received it.
The chatbot was wrong. Nobody noticed. No monitoring. No governance. No process for verifying AI outputs against actual policy.
This is the AI governance gap most organizations haven't closed.
Your AI tools are talking to your customers, employees, and partners right now. Do you know what they're saying? Do you know your liability when they get it wrong?
AAISM is built for exactly this. Not just deploying AI, but governing it. Building the accountability structures, monitoring frameworks, and risk controls that mean you find out when something goes wrong before a tribunal does.
We just launched the AAISM MasterClass, so you can now study entirely at your own pace. If you prefer live training, our next AAISM Bootcamp runs July 20-22.
Best,
The DestCert Team
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