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Can AI Chatbots Create False Memories?

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Treść dostarczona przez Jim Carter. Cała zawartość podcastów, w tym odcinki, grafika i opisy podcastów, jest przesyłana i udostępniana bezpośrednio przez Jim Carter lub jego partnera na platformie podcastów. Jeśli uważasz, że ktoś wykorzystuje Twoje dzieło chronione prawem autorskim bez Twojej zgody, możesz postępować zgodnie z procedurą opisaną tutaj https://pl.player.fm/legal.

AI chatbots can induce false memories. That’s the jaw-dropping revelation Jim Carter dives into on this episode of "The Prompt."

Jim shares a groundbreaking study by MIT and the University of California, Irvine, which found that AI-powered chatbots can create false memories in users. Imagine witnessing a crime and then being misled by a chatbot into remembering things that never happened. Scary, right?

The study involved 200 participants who watched a silent CCTV video of an armed robbery. They were split into four groups: a control group, a survey with misleading questions, a pre-scripted chatbot, and a generative chatbot using a large language model.

The results? The generative chatbot induced nearly triple the number of false memories compared to the control group. What's even crazier is that 36% of users' responses to the generative chatbot were misled, and these false memories stuck around for at least a week!

Jim explores why some people are more susceptible to these AI-induced false memories. Turns out, people who are familiar with AI but not with chatbots are more likely to be misled. Plus, those with a keen interest in crime investigations are more vulnerable, likely due to their higher engagement and processing of misinformation.

So, why do chatbots "hallucinate" or generate false info? Jim explains the limitations and biases in training data, overfitting, and the nature of large language models, which prioritize plausible answers over factual accuracy. These hallucinations can spread misinformation, erode trust in AI, and even cause legal issues.

But don’t worry, Jim doesn’t leave us hanging. He shares actionable steps to minimize these risks, like improving training data quality, combining language models with fact-checking systems, and developing hallucination detection systems.

Want to stay on top of the latest AI developments? Join Jim's Fast Foundations Slack group to discuss these critical issues and work towards responsible AI development. Head over to fastfoundations.com/slack to be part of the conversation.

Remember, we have the power to shape AI’s future, so let’s keep the dialogue going, one prompt at a time.

  continue reading

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Artwork
iconUdostępnij
 
Manage episode 439125680 series 3532220
Treść dostarczona przez Jim Carter. Cała zawartość podcastów, w tym odcinki, grafika i opisy podcastów, jest przesyłana i udostępniana bezpośrednio przez Jim Carter lub jego partnera na platformie podcastów. Jeśli uważasz, że ktoś wykorzystuje Twoje dzieło chronione prawem autorskim bez Twojej zgody, możesz postępować zgodnie z procedurą opisaną tutaj https://pl.player.fm/legal.

AI chatbots can induce false memories. That’s the jaw-dropping revelation Jim Carter dives into on this episode of "The Prompt."

Jim shares a groundbreaking study by MIT and the University of California, Irvine, which found that AI-powered chatbots can create false memories in users. Imagine witnessing a crime and then being misled by a chatbot into remembering things that never happened. Scary, right?

The study involved 200 participants who watched a silent CCTV video of an armed robbery. They were split into four groups: a control group, a survey with misleading questions, a pre-scripted chatbot, and a generative chatbot using a large language model.

The results? The generative chatbot induced nearly triple the number of false memories compared to the control group. What's even crazier is that 36% of users' responses to the generative chatbot were misled, and these false memories stuck around for at least a week!

Jim explores why some people are more susceptible to these AI-induced false memories. Turns out, people who are familiar with AI but not with chatbots are more likely to be misled. Plus, those with a keen interest in crime investigations are more vulnerable, likely due to their higher engagement and processing of misinformation.

So, why do chatbots "hallucinate" or generate false info? Jim explains the limitations and biases in training data, overfitting, and the nature of large language models, which prioritize plausible answers over factual accuracy. These hallucinations can spread misinformation, erode trust in AI, and even cause legal issues.

But don’t worry, Jim doesn’t leave us hanging. He shares actionable steps to minimize these risks, like improving training data quality, combining language models with fact-checking systems, and developing hallucination detection systems.

Want to stay on top of the latest AI developments? Join Jim's Fast Foundations Slack group to discuss these critical issues and work towards responsible AI development. Head over to fastfoundations.com/slack to be part of the conversation.

Remember, we have the power to shape AI’s future, so let’s keep the dialogue going, one prompt at a time.

  continue reading

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