It sounds like a tidy excuse. The AI said it, so I just went with it. That will not save you, the same way blaming the dog never saved your homework. Worth understanding why AI gets things wrong, how those mistakes can land on you, and how to stay out of trouble.
It comes down to how the technology works. A large language model is closer to autocomplete than an encyclopedia. It is a probability engine trained on trillions of pieces of text, broken into tokens, and everything it writes is just a chain of tokens arranged by what is statistically likely to come next. There is no check on whether the result is true. A sentence that starts with my favorite food is is simply more likely to end with pizza than with mahogany. A hallucination, the term for an AI mistake, is just the math pointing the wrong way. The AI is solving a math problem. You are still the one responsible for what it produces.
Defamation. Say you have AI write marketing copy and it falsely claims a competitor uses some illegal process or ingredient. That false statement is now coming from your business, and you can be on the hook for it.
Promises you did not make. A support chatbot, eager to please, can invent return policies, prices, and other terms. Some jurisdictions will hold you to whatever it promised as a binding agreement, because it is acting as your representative.
Copyright. Because a model predicts the most likely next words, its output can line up closely with what an original author wrote. That can leave you plagiarizing through AI and using copyright-protected material without realizing it.
None of this means AI is bad. It means it needs a short leash and a human checking its work. We help businesses use AI, including keeping sensitive data out of public models with a private AI setup, without the privacy and legal risks. Book a call and we will help you use it safely.
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