{"id":26868,"date":"2026-03-11T16:15:51","date_gmt":"2026-03-11T23:15:51","guid":{"rendered":"https:\/\/dornsife.usc.edu\/news\/?p=26868"},"modified":"2026-03-11T16:15:53","modified_gmt":"2026-03-11T23:15:53","slug":"ai-may-be-making-us-think-and-write-more-alike","status":"publish","type":"post","link":"https:\/\/dornsife.usc.edu\/news\/stories\/ai-may-be-making-us-think-and-write-more-alike\/","title":{"rendered":"AI may be making us think and write more alike"},"content":{"rendered":"\n\n\n    \n                                          \n\n  \n    \n\n\n\n\n\n\n<div\n  class=\"cc--component-container cc--article-hero \"\n\n  \n  \n  \n  \n  \n  \n  >\n  <div class=\"c--component c--article-hero\"\n    \n      >\n\n    \n<div class=\"inner-wrapper\">\n          \n<div class=\"f--field f--image\">\n\n    \n    \n    \n    \n    \n    \n              \n      <img\n                            data-src=\"https:\/\/dornsife.usc.edu\/news\/wp-content\/uploads\/sites\/7\/2026\/03\/llm-homogenous-thought-top-768x432.jpg\"\n          data-srcset=\"https:\/\/dornsife.usc.edu\/news\/wp-content\/uploads\/sites\/7\/2026\/03\/llm-homogenous-thought-top-1920x1080.jpg 1920w,https:\/\/dornsife.usc.edu\/news\/wp-content\/uploads\/sites\/7\/2026\/03\/llm-homogenous-thought-top-1280x720.jpg 1280w,https:\/\/dornsife.usc.edu\/news\/wp-content\/uploads\/sites\/7\/2026\/03\/llm-homogenous-thought-top-768x432.jpg 768w\"          data-sizes=\"(min-width:1200px) 75vw, (min-width:768px) 83vw, 100vw\"          class=\"lazyload\"\n        \n                  alt=\"Computer-generated illustration of a human-like head surrounded by thought bubbles containing meaningless wording\"\n        \n        \n                                      \/>\n\n    \n    \n  \n  \n\n<\/div>\n  \n      <div class=\"image-caption\">\n          \n<div class=\"f--field f--description\">\n\n    \n  A new study suggests that increasing use of AI may narrow the number of ways humans think and reason. (Image source: iStock.)\n\n\n<\/div>\n    <\/div>\n  \n  <div class=\"text-wrapper\">\n          <nav aria-label=\"Breadcrumb\" class=\"breadcrumbs\">\n        <ul>\n                      <li><a href=\"\/news\/stories\/\">News<\/a><\/li>\n                      <li><a href=\"\/news\/stories\/\/?category=science-and-technology\">Science and Technology<\/a><\/li>\n                  <\/ul>\n      <\/nav>\n    \n              \n<div class=\"f--field f--page-title\">\n\n    \n  <h1>AI may be making us think and write more alike<\/h1>\n\n\n<\/div>\n    \n          <div class=\"subtitle\">\n            \n<div class=\"f--field f--description\">\n\n    \n  Large language models may be standardizing human expression \u2014 and subtly influencing how we think, say computer science and psychology researchers at USC Dornsife.\n\n\n<\/div>\n      <\/div>\n    \n           <strong class=\"author-field\"><span >By<\/span><a href=\"mailto:communication@dornsife.usc.edu\">Julia Grimmett<\/a><\/strong>\n    \n          <span class=\"post-date-field\">March 11, 2026<\/span>\n      <\/div>\n<\/div>\n\n\n  <\/div><\/div>\n\n  \n    \n\n\n\n\n\n\n<div\n  class=\"cc--component-container cc--social-share \"\n\n  \n  \n  \n  \n  \n  \n  >\n  <div class=\"c--component c--social-share\"\n    \n      >\n\n    \n  <div class=\"content-wrapper\">\n    <span class=\"a2a_kit a2a_kit_size_32 addtoany_list\" style=\"line-height: 32px;\">\n      <span class=\"title\">\n        Share\n      <\/span>\n                        <a class=\"a2a_button_copy_link\" target=\"_blank\" href=\"\/#copy_link\" rel=\"nofollow noopener\" title=\"Link\">\n            <span class=\"a2a_svg a2a_s__default a2a_s_copy_link\">\n              <svg height=\"19\" viewBox=\"0 0 19 19\" width=\"19\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"m7.43475275 9.52380952-2.17490843 2.26076008c-1.08745421 1.058837-1.68841575 2.518315-1.68841575 4.0350275 0 1.5167124.60096154 2.9475732 1.68841575 4.0350274 1.058837 1.0874543 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<p>Artificial intelligence chatbots are standardizing how people speak, write and think. If this homogenization continues unchecked, it risks reducing humanity\u2019s collective wisdom and ability to adapt, argue USC computer scientists and psychologists in an <a href=\"https:\/\/www.cell.com\/trends\/cognitive-sciences\/fulltext\/S1364-6613(26)00003-3\" target=\"_blank\" rel=\"noopener\">opinion paper<\/a> published March 11 in the Cell Press journal <em>Trends in Cognitive Sciences<\/em>.<\/p>\n<p>The researchers \u2014 led by <a href=\"https:\/\/dornsife.usc.edu\/profile\/morteza-dehghani\/\">Morteza Dehghani<\/a>, professor of <a href=\"https:\/\/dornsife.usc.edu\/psyc\/\">psychology<\/a> and computer science at the USC Dornsife College of Letters, Arts and Sciences \u2014 say that <a href=\"https:\/\/dornsife.usc.edu\/news\/stories\/masters-program-teaches-math-behind-artificial-intelligence\/\">AI developers<\/a> should incorporate more real-world diversity into large language model (LLM) training sets, not only to help preserve human cognitive diversity, but also to <a href=\"https:\/\/dornsife.usc.edu\/news\/stories\/can-we-prevent-ai-from-acting-like-a-sociopath\/\">improve chatbots<\/a>\u2019 reasoning abilities.<\/p>\n<p>\u201cIndividuals differ in how they write, reason and view the world,\u201d says study first author Zhivar Sourati, a PhD student at the <a href=\"https:\/\/viterbischool.usc.edu\/\" target=\"_blank\" rel=\"noopener\">USC Viterbi School of Engineering<\/a>. \u201cWhen these differences are mediated by the same LLMs, their distinct linguistic style, perspective, and reasoning strategies become homogenized, producing standardized expressions and thoughts across users.\u201d<\/p>\n<h2>Large language models dampen individuality<\/h2>\n<p>Within groups and societies, cognitive diversity bolsters creativity and problem-solving, say the researchers. However, cognitive diversity is shrinking worldwide as billions of people are using the same handful of AI chatbots for an increasing number of tasks, they add. When people use chatbots to help them polish their writing, for example, the writing ends up losing its stylistic individuality, and people feel less creative ownership over what they produce.<\/p>\n<p>\u201cThe concern is not just that LLMs shape how people write or speak, but that they subtly redefine what counts as credible speech, correct perspective, or even good reasoning,\u201d says Sourati, a member of Dehghani\u2019s <a href=\"https:\/\/www.mola-lab.org\/\" target=\"_blank\" rel=\"noopener\">Morality and Language Lab<\/a>.<\/p>\n<p>The team points to multiple studies showing that LLM outputs are less varied than human-generated writing and that LLM outputs tend to reflect the language, values and reasoning styles of Western, educated, industrialized, rich and democratic societies.<\/p>\n<p>\u201cBecause LLMs are trained to capture and reproduce statistical regularities in their training data, which often overrepresent dominant languages and ideologies, their outputs often mirror a narrow and skewed slice of human experience,\u201d says Sourati.<\/p>\n<p>Though studies show that individuals often generate more ideas with more details when they use LLMs, groups of people produce fewer and less creative ideas when they use LLMs than when they simply combine their collective powers, note the researchers.<\/p>\n<p>\u201cEven if people are not the firsthand users of LLMs, LLMs are still going to affect them indirectly,\u201d says Sourati. \u201cIf a lot of people around me are thinking and speaking in a certain way, and I do things differently, I would feel a pressure to align with them because it would seem like a more credible or socially acceptable way of expressing my ideas.\u201d<\/p>\n<h2>LLMs can reduce the variety of reasoning styles<\/h2>\n<p>Beyond language, studies have shown that after interacting with biased LLMs, people\u2019s opinions become more like the LLM that they used.<\/p>\n<p>LLMs also favor linear modes of reasoning such as \u201cchain-of-thought reasoning,\u201d which requires models to show step-by-step reasoning. This emphasis reduces the use of intuitive or abstract reasoning styles, which are sometimes more efficient than linear reasoning, the researchers say.<\/p>\n<p>They also note that LLMs can alter people\u2019s expectations, which can subtly change the direction of a person\u2019s work.<\/p>\n<p>\u201cRather than actively steering generation, users often defer to model-suggested continuations, selecting options that seem \u2018good enough\u2019 instead of crafting their own, which gradually shifts agency from the user to the model,\u201d says Sourati.<\/p>\n<p>The researchers say that AI developers should intentionally incorporate diversity in language, perspectives and reasoning into their models. They emphasize that this diversity should be grounded in the diversity that exists within humans globally, rather than introducing random variation.<\/p>\n<p>\u201cIf LLMs had more diverse ways of approaching ideas and problems, they would better support the collective intelligence and problem-solving capabilities of our societies,\u201d said Sourati. \u201cWe need to diversify the AI models themselves while also adjusting how we interact with them, especially given their widespread use across tasks and contexts, to protect the cognitive diversity and ideation potential of future generations.\u201d<\/p>\n<h2>About the study<\/h2>\n<p>USC Viterbi PhD student Alireza Ziabari also contributed to the research, which was supported by funding from the Air Force Office of Scientific Research.<\/p>\n\n\n\n<\/div>\n\n\n  <\/div><\/div>\n\n\n\n  \n        \n  \n    \n\n\n\n\n\n\n<div\n  class=\"cc--component-container cc--article-related-stories \"\n\n  \n  \n  \n  \n  \n  \n  >\n  <div 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Dornsife.<\/p>\n","protected":false},"author":14,"featured_media":26869,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[16,24],"tags":[99,112,60,95],"class_list":["post-26868","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-science-and-technology","category-social-impact","tag-artificial-intelligence","tag-psychology","tag-research","tag-social-sciences"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.1.1 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>AI may be making us think and write more alike<\/title>\n<meta name=\"description\" content=\"Large language models may be standardizing human expression and subtly influencing how we think, says study led by USC Dornsife researcher\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, 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