{"id":18758,"date":"2025-09-18T11:26:11","date_gmt":"2025-09-18T15:26:11","guid":{"rendered":"https:\/\/www.bu.edu\/questrom\/?p=18758"},"modified":"2025-09-18T11:35:22","modified_gmt":"2025-09-18T15:35:22","slug":"gao-yuan-lee-dokyun-burtch-gordon-fazelpour-sina-2025-take-caution-in-using-llms-as-human-surrogates","status":"publish","type":"post","link":"https:\/\/www.bu.edu\/questrom\/blog\/gao-yuan-lee-dokyun-burtch-gordon-fazelpour-sina-2025-take-caution-in-using-llms-as-human-surrogates\/","title":{"rendered":"Gao, Yuan, Lee, Dokyun, Burtch, Gordon &amp; Fazelpour, Sina (2025). Take caution in using LLMs as human surrogates"},"content":{"rendered":"\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"1950\" height=\"1097\" src=\"https:\/\/www.bu.edu\/questrom\/wp-content\/uploads\/sites\/2\/2025\/09\/AdobeStock_909560292-edited.jpeg\" alt=\"\" class=\"wp-image-18761\" style=\"aspect-ratio:16\/9;object-fit:cover\" srcset=\"https:\/\/www.bu.edu\/questrom\/wp-content\/uploads\/sites\/2\/2025\/09\/AdobeStock_909560292-edited.jpeg 1950w, https:\/\/www.bu.edu\/questrom\/wp-content\/uploads\/sites\/2\/2025\/09\/AdobeStock_909560292-edited-300x169.jpeg 300w, https:\/\/www.bu.edu\/questrom\/wp-content\/uploads\/sites\/2\/2025\/09\/AdobeStock_909560292-edited-1080x609.jpeg 1080w, https:\/\/www.bu.edu\/questrom\/wp-content\/uploads\/sites\/2\/2025\/09\/AdobeStock_909560292-edited-700x394.jpeg 700w\" sizes=\"auto, (max-width: 1950px) 100vw, 1950px\" \/><figcaption class=\"wp-element-caption\">AI, Machine learning, Hands of robot and human touch on big data network connection of brain AI, Data exchange, deep learning, Science, artificial intelligence technology, innovation of futuristic.<\/figcaption><\/figure>\n\n\n\n<p>&#8220;This paper critically evaluates the potential dangers of employing large language models (LLMs) as surrogates for human participants or as simulations of human behavior in social science research. Through an in-depth empirical case study, we find that LLMs do not exhibit behavior consistent with humans in a simple scenario. Further, LLMs demonstrate inconsistent and idiosyncratic responses. We explore failure modes, analyze their limitations from empirical and philosophical perspectives, and propose practical guidelines for future research. Our study underscores the importance of transparency and rigor to ensure replicable and reliable research in this emerging area.&#8221;&nbsp;(PNAS). Read the publication,<em> <\/em><a href=\"https:\/\/doi.org\/10.1073\/pnas.2501660122\" target=\"_blank\" rel=\"noreferrer noopener\">Take caution in using LLMs as human surrogates, here.<\/a><\/p>\n\n\n\n<p>This publication was written by Yuan Gao, <a href=\"https:\/\/www.bu.edu\/questrom\/profiles\/dokyun-dk-lee\/\">Dokyun Lee<\/a>, <a href=\"https:\/\/www.bu.edu\/questrom\/profiles\/gordon-burtch\/\">Gordon Burtch<\/a>, &amp; Sina Fazelpour.<\/p>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>&#8220;This paper critically evaluates the potential dangers of employing large language models (LLMs) as surrogates for human participants or as simulations of human behavior in social science research. Through an [&hellip;]<\/p>\n","protected":false},"author":6,"featured_media":18761,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"categories":[1201],"tags":[],"class_list":["post-18758","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-phd-student-publications"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.8 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Gao, Yuan, Lee, Dokyun, Burtch, Gordon &amp; Fazelpour, Sina (2025). 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