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Data Center News > Blog > AI > AI causes reduction in users’ brain activity – MIT
AI

AI causes reduction in users’ brain activity – MIT

Last updated: October 1, 2025 3:55 pm
Published October 1, 2025
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Illustration for article on AI causing cognitive decline in users.
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A research from MIT (Massachusetts Institute of Know-how) has discovered that the human mind not solely works much less arduous when utilizing an LLM, however its results proceed, negatively affecting psychological exercise in future work.

The researchers used a restricted variety of topics for his or her experiments (a limitation said in the paper [PDF]), who have been requested to jot down essays on a wide range of topics. One group of topics was allowed to make use of AI (ChatGPT was chosen; researchers thought of there was little distinction between it and its rivals), the second permitted to make use of Google Search, and the third group was termed ‘mind solely’ – that’s, producing work with no expertise aids.

Electroencephalography (EEG) was used on all the topics to watch mind exercise to asses cognitive engagement and cargo. The researchers discovered that the teams exhibited totally different ranges of neural connectivity, which mirrored totally different methods employed by the mind to jot down up the assignments. The extra help the topics had, the much less arduous their brains appeared to work. EEG evaluation confirmed that probably the most energetic gray matter belonged to the unaided group, with much less neural exercise within the ‘search engine group’, and least of all among the many AI customers.

The research additionally examined what it termed ‘possession’ – the flexibility for the authors to cite what that they had written afterwards and summarise their work. Ranges of possession fell dramatically with the extra assist the topics obtained from expertise. Few college students utilizing an LLM have been capable of reliably quote what that they had written. Moreover, the LLM-using group “produced statistically homogeneous essays inside every matter, exhibiting considerably much less deviation in comparison with the opposite teams.”

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Unsurprisingly, the visible cortex of these utilizing a search engine or ChatGPT was extra energetic, with these teams “extra inclined to concentrate on the output of the instruments they have been utilizing,” the paper states.

Longer-term results

After a number of rounds of essay-writing, two extra teams have been shaped from the taking part topics, comprising of ‘Mind-to-LLM’ and ‘LLM-to-Mind’, which because the names recommend, have been topics that had beforehand had no technological aids now in a position to make use of an LLM, and LLM customers henceforth instructed to finish assignments ‘solo.’

The researchers discovered that, “LLM-to-Mind members confirmed weaker neural connectivity and under-engagement of alpha and beta networks; and the Mind-to-LLM members demonstrated increased reminiscence recall, and re‑engagement of widespread occipito-parietal and prefrontal nodes. […] This means that AI-supported re-engagement invoked excessive ranges of cognitive integration, reminiscence reactivation, and top-down management.”

In brief, people utilizing their brains to deal with a topic can profit from utilizing an AI after they’ve already fully-explored their ideas, expertise, data, and emotions with out utilizing expertise. However these utilizing AI from the outset present diminished mind exercise over time, and have been much less capable of carry out cognitive duties when requested to go ChatGPT-free.

The paper states, “As we demonstrated over the course of 4 months, the LLM group’s members carried out worse than their counterparts within the brain-only group in any respect ranges: neural, linguistic, [and] scoring.”

Restricted research

With only some dozen topics within the research, the analysis group have been working with a restricted pattern. The authors admit it is going to be mandatory to make use of extra volunteers which have a extra various vary of backgrounds for extra statistically-reliable findings to be uncovered. But as AI is used more and more in faculties, schools, and on a regular basis life, the researchers have highlighted what they time period a “urgent matter” of a “seemingly lower in studying abilities” that come about on account of utilizing AI as a substitute for people’ brains.

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Conclusions

If the pattern of utilizing ChatGPT rather than the very human actions of pondering, contemplating, and summarising continues, it appears seemingly that the flexibility to assume successfully will diminish into the long term. Having an AI add context or further materials later in any strategy of mental consideration produces higher outcomes than its use from the outset.

Search engine use fell into the center floor between unaided thought and being spoon-fed AI-generated supplies, in keeping with the paper. Nevertheless the necessity by Google, Microsoft, et al. to insert AI-generation into customers’ search outcomes (LLM outcomes showing uppermost on SERPs [search engine results pages]) signifies that cognitive exercise amongst on a regular basis search customers might decline, ought to they solely concentrate on AI-generated search outcomes.

The analysis group states that extra research is required to grasp the long-term results of AIs on the mind, “earlier than LLMs are recognised as one thing that’s web optimistic for […] people.”

(Picture supply: “Cognitive testing” by Nestlé is licensed underneath CC BY-NC-ND 2.0.)

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TAGGED: Activity, Brain, MIT, Reduction, users
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