Dr. Lance B. Eliot is a world-renowned expert on Artificial Intelligence (AI) with over 7.8+ million amassed views of his AI columns and been featured on CBS 60 Minutes. As a CIO/CTO seasoned executive and high-tech entrepreneur, he combines practical industry experience with deep academic research.
In today’s column, I am continuing my multi-part series covering an in-depth exploration of OpenAI’s newly released generative AI model known as o1.
You might know that Sir Walter Scott famously said this about deception: “O, what a tangled web we weave when first we practice to deceive!” I somberly regret to report that generative AI does deceive. And, as you will see, it is indeed a tangled web.We think of deception as a purely human trait. People deceive other people. Our gut instinct is to assume that there is a human intention underlying the act of deception.
Suppose that I ask generative AI for a citable reference to a reputable news source about the SpaceX Dragon spacewalk of last week that set a new record for commercial or private astronauts. Another potential act of deception involves generative AI appearing to be grandly confident about a response, even though the internal computational mechanisms have rated the response as woefully lacking in certainty. I’ve covered this certainty/uncertainty conundrum about generative AI in my discussion at
The same could happen with a text-based response too. Suppose you ask a question about the life of Abraham Lincoln. Generative AI might tell you that Honest Abe loved dearly his wife, Lauren Lincoln. The correct name is Mary Todd Lincoln. Assume that the AI has come up with Lauren Lincoln and rated this as an uncertain answer. But when displaying the answer, all that was presented to you by the generative AI was that his wife was named Lauren Lincoln.
“As a case study for chain-of-thought monitoring, we created a rudimentary monitor tasked with looking for instances where o1 models deceive users, i.e. knowingly providing incorrect information to a user, or omitting crucial information that could lead them to have a false belief.”
Generative AI Large Language Models LLM Deception Openai GPT-4O Chatgpt O1 Anthropic Claude Google Gemini Chain-Of-Thought Cot AI Ethics AI Law Deceive Lie Cheat Sneaky Liar
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