{"id":2534,"date":"2026-04-16T10:04:21","date_gmt":"2026-04-16T10:04:21","guid":{"rendered":"https:\/\/blog.ibvl.in\/index.php\/2026\/04\/16\/human-trust-of-ai-agents\/"},"modified":"2026-04-16T10:04:21","modified_gmt":"2026-04-16T10:04:21","slug":"human-trust-of-ai-agents","status":"publish","type":"post","link":"https:\/\/blog.ibvl.in\/index.php\/2026\/04\/16\/human-trust-of-ai-agents\/","title":{"rendered":"Human Trust of AI Agents"},"content":{"rendered":"<div>\n<p>Interesting research: \u201c<a href=\"https:\/\/arxiv.org\/pdf\/2505.11011\">Humans expect rationality and cooperation from LLM opponents in strategic games<\/a>.\u201d<\/p>\n<blockquote>\n<p><b>Abstract:<\/b> As Large Language Models (LLMs) integrate into our social and economic interactions, we need to deepen our understanding of how humans respond to LLMs opponents in strategic settings. We present the results of the first controlled monetarily-incentivised laboratory experiment looking at differences in human behaviour in a multi-player p-beauty contest against other humans and LLMs. We use a within-subject design in order to compare behaviour at the individual level. We show that, in this environment, human subjects choose significantly lower numbers when playing against LLMs than humans, which is mainly driven by the increased prevalence of \u2018zero\u2019 Nash-equilibrium choices. This shift is mainly driven by subjects with high strategic reasoning ability. Subjects who play the zero Nash-equilibrium choice motivate their strategy by appealing to perceived LLM\u2019s reasoning ability and, unexpectedly, propensity towards cooperation. Our findings provide foundational insights into the multi-player human-LLM interaction in simultaneous choice games, uncover heterogeneities in both subjects\u2019 behaviour and beliefs about LLM\u2019s play when playing against them, and suggest important implications for mechanism design in mixed human-LLM systems.<\/p>\n<\/blockquote>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Interesting research: \u201cHumans expect rationality and cooperation from LLM opponents in strategic games.\u201d Abstract: As Large Language Models (LLMs) integrate into our social and economic interactions, we need to deepen our understanding of how humans respond to LLMs opponents in strategic settings. We present the results of the first controlled monetarily-incentivised laboratory experiment looking at [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"site-container-style":"default","site-container-layout":"default","site-sidebar-layout":"default","disable-article-header":"default","disable-site-header":"default","disable-site-footer":"default","disable-content-area-spacing":"default","footnotes":""},"categories":[330,4,90,983,210,708,53],"tags":[91],"class_list":["post-2534","post","type-post","status-publish","format-standard","hentry","category-academic-papers","category-ai","category-cybersecurity","category-games","category-llm","category-trust","category-uncategorized","tag-cybersecurity"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.7 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Human Trust of AI Agents - Imperative Business Ventures Limited<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/blog.ibvl.in\/index.php\/2026\/04\/16\/human-trust-of-ai-agents\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Human Trust of AI Agents - Imperative Business Ventures Limited\" \/>\n<meta property=\"og:description\" content=\"Interesting research: \u201cHumans expect rationality and cooperation from LLM opponents in strategic games.\u201d Abstract: As Large Language Models (LLMs) integrate into our social and economic interactions, we need to deepen our understanding of how humans respond to LLMs opponents in strategic settings. We present the results of the first controlled monetarily-incentivised laboratory experiment looking at [&hellip;]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/blog.ibvl.in\/index.php\/2026\/04\/16\/human-trust-of-ai-agents\/\" \/>\n<meta property=\"og:site_name\" content=\"Imperative Business Ventures Limited\" \/>\n<meta property=\"article:published_time\" content=\"2026-04-16T10:04:21+00:00\" \/>\n<meta name=\"author\" content=\"admin\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"admin\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"1 minute\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/blog.ibvl.in\/index.php\/2026\/04\/16\/human-trust-of-ai-agents\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/blog.ibvl.in\/index.php\/2026\/04\/16\/human-trust-of-ai-agents\/\"},\"author\":{\"name\":\"admin\",\"@id\":\"https:\/\/blog.ibvl.in\/#\/schema\/person\/55b87b72a56b1bbe9295fe5ef7a20b02\"},\"headline\":\"Human Trust of AI Agents\",\"datePublished\":\"2026-04-16T10:04:21+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/blog.ibvl.in\/index.php\/2026\/04\/16\/human-trust-of-ai-agents\/\"},\"wordCount\":194,\"keywords\":[\"Cybersecurity\"],\"articleSection\":[\"academic papers\",\"AI\",\"Cybersecurity\",\"Games\",\"LLM\",\"trust\"],\"inLanguage\":\"en-US\"},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/blog.ibvl.in\/index.php\/2026\/04\/16\/human-trust-of-ai-agents\/\",\"url\":\"https:\/\/blog.ibvl.in\/index.php\/2026\/04\/16\/human-trust-of-ai-agents\/\",\"name\":\"Human Trust of AI Agents - Imperative Business Ventures Limited\",\"isPartOf\":{\"@id\":\"https:\/\/blog.ibvl.in\/#website\"},\"datePublished\":\"2026-04-16T10:04:21+00:00\",\"author\":{\"@id\":\"https:\/\/blog.ibvl.in\/#\/schema\/person\/55b87b72a56b1bbe9295fe5ef7a20b02\"},\"breadcrumb\":{\"@id\":\"https:\/\/blog.ibvl.in\/index.php\/2026\/04\/16\/human-trust-of-ai-agents\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/blog.ibvl.in\/index.php\/2026\/04\/16\/human-trust-of-ai-agents\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/blog.ibvl.in\/index.php\/2026\/04\/16\/human-trust-of-ai-agents\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/blog.ibvl.in\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Human Trust of AI Agents\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/blog.ibvl.in\/#website\",\"url\":\"https:\/\/blog.ibvl.in\/\",\"name\":\"Imperative Business Ventures Limited\",\"description\":\"\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/blog.ibvl.in\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"en-US\"},{\"@type\":\"Person\",\"@id\":\"https:\/\/blog.ibvl.in\/#\/schema\/person\/55b87b72a56b1bbe9295fe5ef7a20b02\",\"name\":\"admin\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\/\/blog.ibvl.in\/#\/schema\/person\/image\/\",\"url\":\"https:\/\/secure.gravatar.com\/avatar\/4d20b2cd313e4417a599678e950e6fb7d4dfa178a72f2b769335a08aaa615aa9?s=96&d=mm&r=g\",\"contentUrl\":\"https:\/\/secure.gravatar.com\/avatar\/4d20b2cd313e4417a599678e950e6fb7d4dfa178a72f2b769335a08aaa615aa9?s=96&d=mm&r=g\",\"caption\":\"admin\"},\"sameAs\":[\"https:\/\/blog.ibvl.in\"],\"url\":\"https:\/\/blog.ibvl.in\/index.php\/author\/admin_hcbs9yw6\/\"}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Human Trust of AI Agents - Imperative Business Ventures Limited","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/blog.ibvl.in\/index.php\/2026\/04\/16\/human-trust-of-ai-agents\/","og_locale":"en_US","og_type":"article","og_title":"Human Trust of AI Agents - Imperative Business Ventures Limited","og_description":"Interesting research: \u201cHumans expect rationality and cooperation from LLM opponents in strategic games.\u201d Abstract: As Large Language Models (LLMs) integrate into our social and economic interactions, we need to deepen our understanding of how humans respond to LLMs opponents in strategic settings. 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