The consequences of relying on AI for accurate news
A new open-access MIT Media Lab study found that people who leaned on AI chatbots to fact-check news grew worse at spotting misinformation on their own once the AI was removed. Across four weeks, 67 participants were 21 percent more accurate while assisted, but their unassisted accuracy on fresh news items fell 15 percentage points by week four. Researchers call this the AI dependency paradox, and they compare it to how GPS has dulled our natural sense of direction.
Key Takeaways
- Research from the MIT Media Lab found that, over the course of a month, participants who relied on AI systems to verify facts actually got worse at detecting misinformation on their own when their chatbots were taken away.
A Media Lab study shows that, much like how GPS has weakened our navigation skills, AI can make us worse at detecting fake news.
- Credits : Image: Hartono Creative Studio/Unsplash Previous image Next image It's no secret that the last few years have seen a massive explosion in the use of artificial intelligence for general information-gathering.
- The dynamic mirrors broader tech trends around so-called "deskilling" (or "cognitive offloading") that have been well-documented for decades, from calculators weakening our math skills to Global Positioning System (GPS) technologies impacting our natural sense of direction.
- Dunning-Kruger creeps in "Users get excited about these 'magical' LLMs, but forget that they're just statistical models that predict the next 'token' in a sequence [of letters/words]," says MIT media arts and sciences (MAS) PhD student Anku Rani, co-lead author of a new paper about the research, alongside fellow MAS PhD student Valdemar Danry.
"Many impressive behaviors emerge from scaling this, but it comes with real limitations, both in what the model can reliably generate and in its broader impact on the people using it."
- "While [the chatbots] did emphasize that you must check across multiple sources to make sure a story is true, they didn't teach me much about exploring the context of the images themselves," the participant said.
Stats & Key Facts
- #Across four weeks, 67 participants were 21 percent more accurate while assisted, but their unassisted accuracy on fresh news items fell 15 percentage points by week four.
Research from the MIT Media Lab found that, over the course of a month, participants who relied on AI systems to verify facts actually got worse at detecting misinformation on their own when their chatbots were taken away. A Media Lab study shows that, much like how GPS has weakened our navigation skills, AI can make us worse at detecting fake news. Adam Conner-Simons | MIT Media Lab Publication Date : June 9, 2026 Press Inquiries Press Contact : Sarah Beckmann Email: sbeck12@media.mit.edu MIT Media Lab : One-in-five U.S. teens regularly use LLMs to get their news, while one-in-four young adults have reported using them for that purpose at least once.
Credits : Image: Hartono Creative Studio/Unsplash Previous image Next image It's no secret that the last few years have seen a massive explosion in the use of artificial intelligence for general information-gathering. An even more recent trend, though, is how large language models (LLMs) like ChatGPT, Claude, and Gemini are increasingly being used for verifying and consuming news; reports from the Pew Research Center over the last year found that one-in-five U.S. teens regularly use LLMs to get their news, while one-in-four young adults have reported using them for that purpose at least once. A new open-access study from the MIT Media Lab should give some of those users pause: Researchers found that, over the course of a month, participants who relied on AI systems to verify facts actually got worse at detecting misinformation on their own when their chatbots were taken away.
This phenomenon, which is often referred to as the "AI dependency paradox," has been observed in a wide range of knowledge domains, like the 2025 study that found that doctors who used AI got worse at detecting cancer on their own . The dynamic mirrors broader tech trends around so-called "deskilling" (or "cognitive offloading") that have been well-documented for decades, from calculators weakening our math skills to Global Positioning System (GPS) technologies impacting our natural sense of direction. In the new Media Lab study, which tracked 67 people over four weeks as they evaluated news headline-image pairs, participants were 21 percent more accurate in detecting fake news when assisted by an AI chatbot during a session - confirming previous research out of the MIT Sloan School of Management demonstrating that AI can be an effective tool in reducing people's beliefs in false information.
For more details please read the original article at MIT News AI.
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