Brain and cognitive sciences

Two new research papers by scientists from MIT and other institutions find that AI chatbots are successful at shifting the political beliefs of voters, and that the “most persuasive chatbots are those that share lots of facts, although the most information-dense bots also dole out the most inaccurate claims,” reports Sarah Kuta for Smithsonian Magazine. “If you need a million facts, you eventually are going to run out of good ones and so, to fill your fact quota, you’re going to have to put in some not-so-good ones,” says Visiting Prof. David Rand. 

A new study by MIT researchers has found that “AI chatbots were surprisingly effective at convincing people to vote for a particular candidate or change their support for a particular issue,” reports Alex Wilkins for New Scientist. “Even for attitudes about presidential candidates, which are thought to be these very hard-to-move and solidified attitudes, the conversations with these models can have much bigger effects than you would expect based on previous work,” says Visiting Prof. David Rand. 

Prof. Earl Miller speaks with National Geographic reporter Dana Binfet about the impact of increased social media and digital platform use on the brain. “Brain rot is not really rotting our brains,” explains Miller. “It’s constantly creating an environment that our brains are not equipped to deal with—that's the real problem. We’re single-minded creatures and when all this information is coming at us, we want to consume everything and it’s hard to turn off that desire.”

Wired reporter Steven Levy spotlights Research Scientist Sarah Schwettmann PhD '21 and her work investigating the unknown behaviors of AI agents. Schwettmann has co-founded Transluce, a nonprofit interpretability startup “to further study such phenomena,” writes Levy.

In an effort to develop non-invasive ways to treat depression, PTSD, brain tumors and other conditions, researchers from MIT Lincoln Lab are looking to better understand human consciousness, reports Steph Solis for Axios. “There's the goal to analyze how it could help understand or treat PTSD and mood disorders in veterans,” says Solis of the inspiration for this research, “and then there's the existential question that stumps neuroscientists — how does our human experience arise from brain activity?”

A new study by MIT researchers has “identified the parts of the brain’s visual cortex that respond more when we look at things (rigid objects like a stone skipping or a bouncing ball) vs stuff (liquids or something more granular like sand). Understanding this distinction may help our brains better plan how to interact with various materials,” explains Lauren Baisas for Popular Science. “Understanding this distinction may help our brains better plan how to interact with various materials,” explains Baisas. 

Forbes reporter Eric Wood spotlights various studies by MIT researchers exploring the impact of ChatGPT use on behavior and the brain. “As stated, the impact of AI assistants is likely dependent on the users, but since AI assistants are becoming normative, it’s time for counseling centers to assess for maladaptive uses of AI, while also promoting the possible benefits,” explains Wood.

Researchers from MIT have found that “extended use of LLMs for research and writing could have long-term behavioral effects, such as lower brain engagement and laziness,” reports Theo Burman for Newsweek. “The study found that the AI-assisted writers were engaging their deep memory processes far less than the control groups, and that their information recall skills were worse after producing work with ChatGPT,” explains Burman. 

MIT researchers have found that ChatGPT use can lead to a decline in cognitive engagement, reports Robert B. Tucker for Forbes. “Brain regions associated with attention, memory, and higher-ordered reasoning were noticeably less active” in study participants, Tucker explains.

Researchers at MIT have found that the use of ChatGPT can “reduce activity in brain regions associated with memory and learning,” reports Eve Upton-Clark for Fast Company. “ChatGPT users felt less ownership over their essays compared to the other groups,” writes Upton-Clark. “They also struggled to recall or quote from their own essays shortly after submitting them—showing how reliance on the LLM bypassed deep memory processes.” 

Researchers at MIT have found that “people who used ChatGPT to write a series of essays suffered a ‘cognitive cost’ compared to others who used only their brains or a traditional search engine,” reports Ross Cristantiello for Boston.com. “The researchers found that as users relied on ‘external support’ more and more, their brain connectivity gradually scaled down,” explains Cristantiello. “Subjects who began the tests using ChatGPT before being told to use only their brains showed ‘weaker neural connectivity’ and ‘under-engagement’ of certain networks in their brains.”  

A study by MIT researchers finds that individuals who relied solely on ChatGPT to write essays had "lower levels of brain activity and presented less original writing,” reports Greta Cross for USA Today. "While these tools offer unprecedented opportunities for enhancing learning and information access, their potential impact on cognitive development, critical thinking and intellectual independence demands a very careful consideration and continued research," the researchers explain.

Researchers at MIT have found that ChatGPT use can “harm an individual’s critical thinking over time,” reports Rachel Scully for The Hill. “They discovered that subjects who used ChatGPT over a few months had the lowest brain engagement and ‘consistently underperformed at neural, linguistic, and behavioral levels,’” explains Scully. 

Research Scientist Robert Ajemian speaks with National Geographic reporter Erika Engelhaupt about loci, an ancient technique that “transforms any familiar space into a storage system for new information.” “It’s shocking to me that this is so understudied when this was the dominant form of information storage for literally all of civilization, until the printing press,” says Ajemian.  

A study by researchers at MIT examines how the use of large language models impacts the human brain, reports Elizabeth Hlavinka for Salon. Research scientist Nataliya Kos'myna says the results “suggest large language models could affect our memory, attention and creativity.”