{"id":1136599,"date":"2025-05-05T09:00:00","date_gmt":"2025-05-05T16:00:00","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?p=1136599"},"modified":"2025-05-13T13:03:14","modified_gmt":"2025-05-13T20:03:14","slug":"societal-ai-building-human-centered-ai-systems","status":"publish","type":"post","link":"https:\/\/www.microsoft.com\/en-us\/research\/blog\/societal-ai-building-human-centered-ai-systems\/","title":{"rendered":"Societal AI: Building human-centered AI systems"},"content":{"rendered":"\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"1400\" height=\"788\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/04\/Societal-AI-BlogHeroFeature-1400x788-1.jpg\" alt=\"Societal AI surrounded by a circle with two directional arrows in the center of a rectangle with Computer Science and a computer icon on the left with a directional arrow pointing to Social Science on the right with two avatar icons.\" class=\"wp-image-1136604\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/04\/Societal-AI-BlogHeroFeature-1400x788-1.jpg 1400w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/04\/Societal-AI-BlogHeroFeature-1400x788-1-300x169.jpg 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/04\/Societal-AI-BlogHeroFeature-1400x788-1-1024x576.jpg 1024w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/04\/Societal-AI-BlogHeroFeature-1400x788-1-768x432.jpg 768w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/04\/Societal-AI-BlogHeroFeature-1400x788-1-1066x600.jpg 1066w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/04\/Societal-AI-BlogHeroFeature-1400x788-1-655x368.jpg 655w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/04\/Societal-AI-BlogHeroFeature-1400x788-1-240x135.jpg 240w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/04\/Societal-AI-BlogHeroFeature-1400x788-1-640x360.jpg 640w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/04\/Societal-AI-BlogHeroFeature-1400x788-1-960x540.jpg 960w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/04\/Societal-AI-BlogHeroFeature-1400x788-1-1280x720.jpg 1280w\" sizes=\"auto, (max-width: 1400px) 100vw, 1400px\" \/><\/figure>\n\n\n\n<p>In October 2022, Microsoft Research Asia hosted a workshop that brought together experts in computer science, psychology, sociology, and law as part of Microsoft\u2019s commitment to <a href=\"https:\/\/www.microsoft.com\/en-us\/ai\/responsible-ai\" target=\"_blank\" rel=\"noreferrer noopener\">responsible AI<\/a>. The event led to ongoing collaborations exploring AI\u2019s societal implications, including the <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/valuecompass.github.io\/\" target=\"_blank\" rel=\"noopener noreferrer\">Value Compass<span class=\"sr-only\"> (opens in new tab)<\/span><\/a> project.<\/p>\n\n\n\n<p>As these efforts grew, researchers focused on how AI systems could be designed to meet the needs of people and institutions in areas like healthcare, education, and public services. This work culminated in <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/societal-ai-research-challenges-and-opportunities\/\">Societal AI: Research Challenges and Opportunities<\/a><em>, <\/em>a white paper that explores how AI can better align with societal needs.&nbsp;<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"what-is-societal-ai\">What is Societal AI?<\/h2>\n\n\n\n<p>Societal AI is an emerging interdisciplinary area of study that examines how AI intersects with social systems and public life. It focuses on two main areas: (1) the impact of AI technologies on fields like education, labor, and governance; and (2) the challenges posed by these systems, such as evaluation, accountability, and alignment with human values. The goal is to guide AI development in ways that respond to real-world needs.<\/p>\n\n\n\n<p>The white paper offers a framework for understanding these dynamics and provides recommendations for integrating AI responsibly into society. This post highlights the paper\u2019s key insights and what they mean for future research.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"tracing-the-development-of-societal-ai\">Tracing the development of Societal AI<\/h2>\n\n\n\n<p>Societal AI began nearly a decade ago at Microsoft Research Asia, where early work on <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/articles\/personalized-recommendation-systems\/\" target=\"_blank\" rel=\"noreferrer noopener\">personalized recommendation systems<\/a> uncovered risks like echo chambers, where users are repeatedly exposed to similar viewpoints, and polarization, which can deepen divisions between groups. Those findings led to deeper investigations into privacy, fairness, and transparency, helping inform Microsoft&#8217;s broader approach to responsible AI.<\/p>\n\n\n\n<p>The rapid rise of large-scale AI models in recent years has made these concerns more urgent. Today, researchers across disciplines are working to define shared priorities and guide AI development in ways that reflect social needs and values.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"key-insights\">Key insights<\/h2>\n\n\n\n<p>The white paper outlines several important considerations for the field:<\/p>\n\n\n\n<p><strong>Interdisciplinary framework<\/strong>: Bridges technical AI research with the social sciences, humanities, policy studies, and ethics to address AI\u2019s far-reaching societal effects.<\/p>\n\n\n\n<p><strong>Actionable research agenda<\/strong>: Identifies ten research questions that offer a roadmap for researchers, policymakers, and industry leaders.<\/p>\n\n\n\n<p><strong>Global perspective<\/strong>: Highlights the importance of different cultural perspectives and international cooperation in shaping responsible AI development dialogue.<\/p>\n\n\n\n<p><strong>Practical insights<\/strong>: Balances theory with real-world applications, drawing from collaborative research projects.<\/p>\n\n\n\n<p>\u201cAI\u2019s impact extends beyond algorithms and computation\u2014it challenges us to rethink fundamental concepts like trust, creativity, agency, and value systems,\u201d says <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/lidongz\/\">Lidong Zhou<\/a>, managing director of Microsoft Research Asia. \u201cIt recognizes that developing more powerful AI models is not enough; we must examine how AI interacts with human values, institutions, and diverse cultural contexts.\u201d<\/p>\n\n\n\n<figure class=\"wp-block-image aligncenter size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"12568\" height=\"8370\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/04\/SocietalAI_Whitepaper_hi_res.png\" alt=\"This figure presents the framework of Societal AI research. The left part of the figure illustrates that computer scientists can contribute their expertise in machine learning, natural language processing (NLP), human-computer interaction (HCI), and social computing to this research direction. The right part of the figure highlights the importance of social scientists from various disciplines\u2014including psychology, law, sociology, and philosophy\u2014being deeply involved in the research. The center of the figure displays ten notable Societal AI research areas that require cross-disciplinary collaboration between computer scientists and social scientists. These ten areas, listed in counter-clockwise order starting from the top, are: AI safety and reliability, AI fairness and inclusiveness, AI value alignment, AI capability evaluation, human-AI collaboration, AI interpretability and transparency, AI\u2019s impact on scientific discoveries, AI\u2019s impact on labor and global business, AI\u2019s impact on human cognition and creativity, and the regulatory and governance framework for AI. \" class=\"wp-image-1136601\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/04\/SocietalAI_Whitepaper_hi_res.png 12568w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/04\/SocietalAI_Whitepaper_hi_res-300x200.png 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/04\/SocietalAI_Whitepaper_hi_res-1024x682.png 1024w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/04\/SocietalAI_Whitepaper_hi_res-768x511.png 768w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/04\/SocietalAI_Whitepaper_hi_res-240x160.png 240w\" sizes=\"auto, (max-width: 12568px) 100vw, 12568px\" \/><figcaption class=\"wp-element-caption\">Figure 1. Societal AI research agenda<\/figcaption><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"guiding-principles-for-responsible-integration\">Guiding principles for responsible integration<\/h2>\n\n\n\n<p>&nbsp;The research agenda is grounded in three key principles:&nbsp;<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Harmony<\/strong>: AI should minimize conflict and build trust to support acceptance.&nbsp;<\/li>\n\n\n\n<li><strong>Synergy<\/strong>: AI should complement human capabilities, enabling outcomes that neither humans nor machines could achieve alone.&nbsp;&nbsp;<\/li>\n\n\n\n<li><strong>Resilience<\/strong>: AI should be robust and adaptable as social and technological conditions evolve.&nbsp;&nbsp;<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"ten-critical-questions\">Ten critical questions<\/h2>\n\n\n\n<p>These questions span both technical and societal concerns:&nbsp;&nbsp;<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>How can AI be aligned with diverse human values and ethical principles?<\/li>\n\n\n\n<li>How can AI systems be designed to ensure fairness and inclusivity across different cultures, regions, and demographic groups?<\/li>\n\n\n\n<li>How can we ensure AI systems are safe, reliable, and controllable, especially as they become more autonomous?<\/li>\n\n\n\n<li>How can human-AI collaboration be optimized to enhance human abilities?<\/li>\n\n\n\n<li>How can we effectively evaluate AI&#8217;s capabilities and performance in new, unforeseen tasks and environments?<\/li>\n\n\n\n<li>How can we enhance AI interpretability to ensure transparency in its decision-making processes?<\/li>\n\n\n\n<li>How will AI reshape human cognition, learning, and creativity, and what new capabilities might it unlock?<\/li>\n\n\n\n<li>How will AI redefine the nature of work, collaboration, and the future of global business models?<\/li>\n\n\n\n<li>How will AI transform research methodologies in the social sciences, and what new insights might it enable?<\/li>\n\n\n\n<li>How should regulatory frameworks evolve to govern AI development responsibly and foster global cooperation?<\/li>\n<\/ol>\n\n\n\n<p>This list will evolve alongside AI\u2019s developing societal impact, ensuring the agenda remains relevant over time.&nbsp;Building on these questions, the white paper underscores the importance of sustained, cross-disciplinary collaboration to guide AI development in ways that reflect societal priorities and public interest.<\/p>\n\n\n\n<p>\u201cThis thoughtful and comprehensive white paper from Microsoft Research Asia represents an important early step forward in anticipating and addressing the societal implications of AI, particularly large language models (LLMs), as they enter the world in greater numbers and for a widening range of purposes,\u201d says research collaborator <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/sociology.uchicago.edu\/directory\/James-A-Evans\" target=\"_blank\" rel=\"noopener noreferrer\">James A. Evans<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>, professor of sociology at the University of Chicago.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"looking-ahead\">Looking ahead<\/h2>\n\n\n\n<p>Microsoft is committed to fostering collaboration and invites others to take part in developing governance systems. As new challenges arise, the responsible use of AI for the public good will remain central to our research.<\/p>\n\n\n\n<p>We hope the white paper serves as both a guide and a call to action, emphasizing the need for engagement across research, policy, industry, and the public.<\/p>\n\n\n\n<p>For more information, and to access the full white paper, visit the Microsoft Research <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/project\/societal-ai\/\" target=\"_blank\" rel=\"noreferrer noopener\">Societal AI<\/a> page.\u00a0Listen to the author discuss more about the research in <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/podcast\/abstracts-societal-ai-with-xing-xie\/\" target=\"_blank\" rel=\"noreferrer noopener\">this podcast<\/a>.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"acknowledgments\">Acknowledgments<\/h2>\n\n\n\n<p>We are grateful for the contributions of the researchers, collaborators, and reviewers who helped shape this white paper.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Learn about a new white paper on Societal AI, an interdisciplinary framework for guiding AI development that reflects shared human values. It presents key research challenges and emphasizes collaboration across disciplines.<\/p>\n","protected":false},"author":43518,"featured_media":1136604,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr-author-ordering":[{"type":"user_nicename","value":"Beibei Shi","user_id":"42162"},{"type":"user_nicename","value":"Haotian Li","user_id":"43593"},{"type":"user_nicename","value":"Xing 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Shi","user_id":42162,"display_name":"Beibei Shi","author_link":"<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/besh\/\" aria-label=\"Visit the profile page for Beibei Shi\">Beibei Shi<\/a>","is_active":false,"last_first":"Shi, Beibei","people_section":0,"alias":"besh"},{"type":"user_nicename","value":"Haotian Li","user_id":43593,"display_name":"Haotian Li","author_link":"<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/haotianli\/\" aria-label=\"Visit the profile page for Haotian Li\">Haotian Li<\/a>","is_active":false,"last_first":"Li, Haotian","people_section":0,"alias":"haotianli"},{"type":"user_nicename","value":"Xing Xie","user_id":34906,"display_name":"Xing Xie","author_link":"<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/xingx\/\" aria-label=\"Visit the profile page for Xing Xie\">Xing Xie<\/a>","is_active":false,"last_first":"Xie, Xing","people_section":0,"alias":"xingx"}],"msr_type":"Post","featured_image_thumbnail":"<img width=\"960\" height=\"540\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/04\/Societal-AI-BlogHeroFeature-1400x788-1-960x540.jpg\" class=\"img-object-cover\" alt=\"Societal AI surrounded by a circle with two directional arrows in the center of a rectangle with Computer Science and a computer icon on the left with a directional arrow pointing to Social Science on the right with two avatar icons.\" decoding=\"async\" loading=\"lazy\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/04\/Societal-AI-BlogHeroFeature-1400x788-1-960x540.jpg 960w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/04\/Societal-AI-BlogHeroFeature-1400x788-1-300x169.jpg 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/04\/Societal-AI-BlogHeroFeature-1400x788-1-1024x576.jpg 1024w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/04\/Societal-AI-BlogHeroFeature-1400x788-1-768x432.jpg 768w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/04\/Societal-AI-BlogHeroFeature-1400x788-1-1066x600.jpg 1066w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/04\/Societal-AI-BlogHeroFeature-1400x788-1-655x368.jpg 655w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/04\/Societal-AI-BlogHeroFeature-1400x788-1-240x135.jpg 240w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/04\/Societal-AI-BlogHeroFeature-1400x788-1-640x360.jpg 640w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/04\/Societal-AI-BlogHeroFeature-1400x788-1-1280x720.jpg 1280w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/04\/Societal-AI-BlogHeroFeature-1400x788-1.jpg 1400w\" sizes=\"auto, (max-width: 960px) 100vw, 960px\" \/>","byline":"<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/besh\/\" title=\"Go to researcher profile for Beibei Shi\" aria-label=\"Go to researcher profile for Beibei Shi\" data-bi-type=\"byline author\" data-bi-cN=\"Beibei Shi\">Beibei Shi<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/haotianli\/\" title=\"Go to researcher profile for Haotian Li\" aria-label=\"Go to researcher profile for Haotian Li\" data-bi-type=\"byline author\" data-bi-cN=\"Haotian Li\">Haotian Li<\/a>, and <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/xingx\/\" title=\"Go to researcher profile for Xing Xie\" aria-label=\"Go to researcher profile for Xing Xie\" data-bi-type=\"byline author\" data-bi-cN=\"Xing Xie\">Xing Xie<\/a>","formattedDate":"May 5, 2025","formattedExcerpt":"Learn about a new white paper on Societal AI, an interdisciplinary framework for guiding AI development that reflects shared human values. It presents key research challenges and emphasizes collaboration across disciplines.","locale":{"slug":"en_us","name":"English","native":"","english":"English"},"_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/posts\/1136599","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/users\/43518"}],"replies":[{"embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/comments?post=1136599"}],"version-history":[{"count":25,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/posts\/1136599\/revisions"}],"predecessor-version":[{"id":1138434,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/posts\/1136599\/revisions\/1138434"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media\/1136604"}],"wp:attachment":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media?parent=1136599"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/categories?post=1136599"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/tags?post=1136599"},{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=1136599"},{"taxonomy":"msr-region","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-region?post=1136599"},{"taxonomy":"msr-event-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-event-type?post=1136599"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=1136599"},{"taxonomy":"msr-post-option","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-post-option?post=1136599"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=1136599"},{"taxonomy":"msr-promo-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-promo-type?post=1136599"},{"taxonomy":"msr-podcast-series","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-podcast-series?post=1136599"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}