{"id":86,"date":"2026-05-01T22:23:36","date_gmt":"2026-05-01T22:23:36","guid":{"rendered":"https:\/\/paltechnews.com\/index.php\/2026\/05\/01\/study-ai-models-that-consider-users-feeling-are-more-likely-to-make-errors\/"},"modified":"2026-05-01T22:23:36","modified_gmt":"2026-05-01T22:23:36","slug":"study-ai-models-that-consider-users-feeling-are-more-likely-to-make-errors","status":"publish","type":"post","link":"https:\/\/paltechnews.com\/index.php\/2026\/05\/01\/study-ai-models-that-consider-users-feeling-are-more-likely-to-make-errors\/","title":{"rendered":"
Study: AI models that consider user’s feeling are more likely to make errors<\/div>"},"content":{"rendered":"
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In human-to-human communication, the desire to be empathetic or polite often conflicts with the need to be truthful\u2014hence terms like \u201cbeing brutally honest\u201d for situations where you value the truth over sparing someone\u2019s feelings. Now, new research suggests that large language models can sometimes show a similar tendency when specifically trained to present a “warmer” tone for the user.<\/p>\n

In a new paper published this week in Nature<\/a>, researchers from Oxford University\u2019s Internet Institute found that specially tuned AI models tend to mimic the human tendency to occasionally \u201csoften difficult truths\u201d when necessary \u201cto preserve bonds and avoid conflict.\u201d These warmer models are also more likely to validate a user’s expressed incorrect beliefs, the researchers found, especially when the user shares that they’re feeling sad.<\/p>\n

How do you make an AI seem \u201cwarm\u201d?<\/h2>\n

In the study, the researchers defined the “warmness” of a language model based on “the degree to which its outputs lead users to infer positive intent, signaling trustworthiness, friendliness, and sociability.” To measure the effect of those kinds of language patterns, the researchers used supervised fine-tuning techniques to modify four open-weights models (Llama-3.1-8B-Instruct, Mistral-Small-Instruct-2409, Qwen-2.5-32B-Instruct, Llama-3.1-70BInstruct) and one proprietary model (GPT-4o).<\/p>\n

Read full article<\/a><\/p>\n

Comments<\/a><\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

In human-to-human communication, the desire to be empathetic or polite often conflicts with the need to be truthful\u2014hence terms like<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"colormag_page_container_layout":"default_layout","colormag_page_sidebar_layout":"default_layout","footnotes":""},"categories":[29,5,118,64,119,120,121,122],"tags":[],"class_list":["post-86","post","type-post","status-publish","format-standard","hentry","category-ai-gadgets","category-gadgets","category-oxford","category-science","category-study","category-training","category-tuning","category-warmth"],"_links":{"self":[{"href":"https:\/\/paltechnews.com\/index.php\/wp-json\/wp\/v2\/posts\/86","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/paltechnews.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/paltechnews.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/paltechnews.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/paltechnews.com\/index.php\/wp-json\/wp\/v2\/comments?post=86"}],"version-history":[{"count":0,"href":"https:\/\/paltechnews.com\/index.php\/wp-json\/wp\/v2\/posts\/86\/revisions"}],"wp:attachment":[{"href":"https:\/\/paltechnews.com\/index.php\/wp-json\/wp\/v2\/media?parent=86"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/paltechnews.com\/index.php\/wp-json\/wp\/v2\/categories?post=86"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/paltechnews.com\/index.php\/wp-json\/wp\/v2\/tags?post=86"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}