{"id":1142579,"date":"2025-11-26T06:21:50","date_gmt":"2025-11-26T14:21:50","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/"},"modified":"2026-03-09T07:22:53","modified_gmt":"2026-03-09T14:22:53","slug":"people-centric-ai","status":"publish","type":"msr-group","link":"https:\/\/www.microsoft.com\/en-us\/research\/theme\/people-centric-ai\/","title":{"rendered":"People-Centric AI"},"content":{"rendered":"<section class=\"mb-3 moray-highlight\">\n\t<div class=\"card-img-overlay mx-lg-0\">\n\t\t<div class=\"card-background  has-background-purple card-background--full-bleed\">\n\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"1920\" height=\"720\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/06\/Frame-5.png\" class=\"attachment-full size-full\" alt=\"Colour gradient\" style=\"\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/06\/Frame-5.png 1920w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/06\/Frame-5-300x113.png 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/06\/Frame-5-1024x384.png 1024w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/06\/Frame-5-768x288.png 768w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/06\/Frame-5-1536x576.png 1536w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/06\/Frame-5-1600x600.png 1600w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/06\/Frame-5-240x90.png 240w\" sizes=\"auto, (max-width: 1920px) 100vw, 1920px\" \/>\t\t<\/div>\n\t\t<!-- Foreground -->\n\t\t<div class=\"card-foreground d-flex mt-md-n5 my-lg-5 px-g px-lg-0\">\n\t\t\t<!-- Container -->\n\t\t\t<div class=\"container d-flex mt-md-n5 my-lg-5 \">\n\t\t\t\t<!-- Card wrapper -->\n\t\t\t\t<div class=\"w-100 w-lg-col-5\">\n\t\t\t\t\t<!-- Card -->\n\t\t\t\t\t<div class=\"card material-md-card py-5 px-md-5\">\n\t\t\t\t\t\t<div class=\"card-body \">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/lab\/microsoft-research-cambridge\/\" class=\"icon-link icon-link--reverse mb-2\" data-bi-cN=\"Microsoft Research Cambridge\">\n\t\t\t\t\t\t\t\t\t<span class=\"c-glyph glyph-chevron-left\" aria-hidden=\"true\"><\/span>\n\t\t\t\t\t\t\t\t\tMicrosoft Research Cambridge\t\t\t\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\n<h1 class=\"wp-block-heading\" id=\"people-centric-ai\">People-Centric AI<\/h1>\n\n\n\n<p>Developing knowledge, model capabilities, and experiences that centre human values.<\/p>\n\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t<\/div>\n\t<\/div>\n<\/section>\n\n\n\n\n\n\n\n\n\n\n\n\n\n<p>People-Centric AI develops knowledge, model capabilities, and experiences that enable human agency and skill, support creativity and collaboration, and ensure equitable representation and participation. We do this by blending research disciplines, design, and engineering. A key aim is to produce principles and insights to shape human-AI interaction, especially as models are given greater flexibility and control over the content and interfaces they generate, and as the practices and expectations of people using these systems evolve. We work closely with other areas and labs, and with product teams ranging from Xbox to E+D. For us, success means delivering AI-enabled experiences that empower all people while preserving and enhancing human capability and connection.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"our-projects-1\">Our projects<\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>ENCODE<\/strong>: Activity-centric dynamic UX<\/li>\n\n\n\n<li><strong>Collaborative AI<\/strong>: Evaluating human-AI interactions<\/li>\n\n\n\n<li><strong><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/group\/game-intelligence\">Game Intelligence<\/a><\/strong>: Leading innovation at the intersection of AI and gaming to empower creatives<\/li>\n\n\n\n<li><strong><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/project\/tools-for-thought\/\">Tools for Thought<\/a> <\/strong>(T4T): Better thinking through AI<\/li>\n\n\n\n<li><strong><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/project\/taix\/\">Teachable AI Experiences (Tai X)<\/a><\/strong>: Achieving an equitable AI future through enable communities to influence AI models<\/li>\n<\/ul>\n\n\n\n<p>Contact <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/sianl\">Si\u00e2n Lindley<\/a> and <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/kahofman\/\">Katja Hofmann<\/a> to learn more.<\/p>\n\n\n\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Developing knowledge, model capabilities, and experiences that centre human values. People-Centric AI develops knowledge, model capabilities, and experiences that enable human agency and skill, support creativity and collaboration, and ensure equitable representation and participation. We do this by blending research disciplines, design, and engineering. A key aim is to produce principles and insights to shape [&hellip;]<\/p>\n","protected":false},"featured_media":1142843,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr_group_start":"","footnotes":""},"research-area":[13556,13554,13559],"msr-group-type":[243688],"msr-locale":[268875],"msr-impact-theme":[],"class_list":["post-1142579","msr-group","type-msr-group","status-publish","has-post-thumbnail","hentry","msr-research-area-artificial-intelligence","msr-research-area-human-computer-interaction","msr-research-area-social-sciences","msr-group-type-theme","msr-locale-en_us"],"msr_group_start":"","msr_detailed_description":"","msr_further_details":"","msr_hero_images":[],"msr_research_lab":[199561],"related-researchers":[{"type":"user_nicename","display_name":"Advait Sarkar","user_id":37146,"people_section":"Section name 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