{"id":38924,"date":"2026-01-15T19:56:46","date_gmt":"2026-01-15T19:56:46","guid":{"rendered":"https:\/\/stm-assoc.org\/?post_type=document&#038;p=38924"},"modified":"2026-01-18T03:25:00","modified_gmt":"2026-01-18T03:25:00","slug":"doe-rfi-on-partnerships-for-ai-models","status":"publish","type":"document","link":"https:\/\/stm-assoc.org\/document\/doe-rfi-on-partnerships-for-ai-models\/","title":{"rendered":"DOE RFI on partnerships for AI models"},"content":{"rendered":"<p>Hal Finkel<br \/>\nOffice of Science<br \/>\nU.S. Department of Energy<br \/>\n1000 Independence Avenue SW<br \/>\nWashington, DC 20585-0121<\/p>\n<p>To the DOE Office of Science AI Team:<\/p>\n<p>STM, the International Association of Scientific, Technical and Medical Publishers, welcomes the opportunity to respond to the Department of Energy\u2019s Request for Information (RFI) on Partnerships for Transformational Artificial Intelligence Models (DE\u2011ASCR\u201126\u20110001). STM and its members are both intensive users and developers of advanced AI tools, and they are also primary providers and stewards of high\u2011quality scientific and technical content that underpins trustworthy AI systems and the broader U.S. research enterprise.<\/p>\n<p><strong>STM\u2019s interest and overarching perspective<\/strong><br \/>\nSTM represents a global community of scholarly and professional publishers who invest in editorial processes, peer review, integrity checks, metadata standards, and long\u2011term curation to ensure that scientific and technical information is accurate, traceable, and reusable. STM strongly supports the Administration\u2019s focus on building American AI infrastructure and scientific leadership, as reflected in Winning the Race: America\u2019s AI Action Plan, and believes that regulatory and partnership frameworks should remove unnecessary friction while preserving the policy foundations\u2014copyright, licensing, transparency, and integrity safeguards\u2014that have long enabled U.S. leadership in science and innovation.<\/p>\n<p>Read the full submission below.<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"_acf_changed":false},"categories":[90,70,86,21],"portfolio":[],"document-type":[],"class_list":["post-38924","document","type-document","status-publish","hentry","category-ai-topics","category-policy-advocacy","category-policy-positions","category-us"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.1.1 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>DOE RFI on partnerships for AI models - STM Association<\/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:\/\/stm-assoc.org\/document\/doe-rfi-on-partnerships-for-ai-models\/\" \/>\n<meta property=\"og:locale\" content=\"en_GB\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"DOE RFI on partnerships for AI models - STM Association\" \/>\n<meta property=\"og:description\" content=\"Hal Finkel Office of Science U.S. Department of Energy 1000 Independence Avenue SW Washington, DC 20585-0121 To the DOE Office of Science AI Team: STM, the International Association of Scientific, Technical and Medical Publishers, welcomes the opportunity to respond to the Department of Energy\u2019s Request for Information (RFI) on Partnerships for Transformational Artificial Intelligence Models...\" \/>\n<meta property=\"og:url\" content=\"https:\/\/stm-assoc.org\/document\/doe-rfi-on-partnerships-for-ai-models\/\" \/>\n<meta property=\"og:site_name\" content=\"STM Association\" \/>\n<meta property=\"article:modified_time\" content=\"2026-01-18T03:25:00+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/s3.eu-west-2.amazonaws.com\/stm.offloadmedia\/wp-content\/uploads\/2024\/08\/10052158\/stm-logo.png\" \/>\n\t<meta property=\"og:image:width\" content=\"400\" \/>\n\t<meta property=\"og:image:height\" content=\"188\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:site\" content=\"@stmassoc\" \/>\n<meta name=\"twitter:label1\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data1\" content=\"1 minute\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/stm-assoc.org\/document\/doe-rfi-on-partnerships-for-ai-models\/\",\"url\":\"https:\/\/stm-assoc.org\/document\/doe-rfi-on-partnerships-for-ai-models\/\",\"name\":\"DOE RFI on partnerships for AI models - STM Association\",\"isPartOf\":{\"@id\":\"https:\/\/stm-assoc.org\/#website\"},\"datePublished\":\"2026-01-15T19:56:46+00:00\",\"dateModified\":\"2026-01-18T03:25:00+00:00\",\"breadcrumb\":{\"@id\":\"https:\/\/stm-assoc.org\/document\/doe-rfi-on-partnerships-for-ai-models\/#breadcrumb\"},\"inLanguage\":\"en-GB\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/stm-assoc.org\/document\/doe-rfi-on-partnerships-for-ai-models\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/stm-assoc.org\/document\/doe-rfi-on-partnerships-for-ai-models\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/stm-assoc.org\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"DOE RFI on partnerships for AI models\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/stm-assoc.org\/#website\",\"url\":\"https:\/\/stm-assoc.org\/\",\"name\":\"STM Association\",\"description\":\"International Association of Scientific, Technical &amp; 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