{"id":1180424,"date":"2026-08-05T06:27:54","date_gmt":"2026-08-05T13:27:54","guid":{"rendered":"https:\/\/research.codeghost.online\/en-us\/research\/?post_type=msr-video&#038;p=1180424"},"modified":"2026-08-05T06:27:55","modified_gmt":"2026-08-05T13:27:55","slug":"atlas-playbook-walkthrough","status":"publish","type":"msr-video","link":"https:\/\/research.codeghost.online\/en-us\/research\/video\/atlas-playbook-walkthrough\/","title":{"rendered":"Atlas Playbook Walkthrough"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\">This video walks through the Atlas Playbook, a practical guide for designing, deploying, and evaluating human-centred AI systems across diverse cultural contexts. Drawing on interdisciplinary research and fieldwork conducted in Kenya and India, Atlas provides frameworks, tools, and decision pathways that help practitioners navigate the social, linguistic, organisational, and infrastructural factors that shape AI adoption and use. Throughout the video, viewers are guided through the playbook\u2019s structure, key concepts, and practical resources, including contextual readiness assessments, cultural analysis frameworks, participatory design methods, and deployment planning tools.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Atlas &#8211; Guideline for deploying human-centred AI tools across cultures: <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/microsoft.github.io\/AtlasPlaybook\/\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/microsoft.github.io\/AtlasPlaybook\/<span class=\"sr-only\"> (opens in new tab)<\/span><\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>This video walks through the Atlas Playbook, a practical guide for designing, deploying, and evaluating human-centred AI systems across diverse cultural contexts. Drawing on interdisciplinary research and fieldwork conducted in Kenya and India, Atlas provides frameworks, tools, and decision pathways that help practitioners navigate the social, linguistic, organisational, and infrastructural factors that shape AI adoption [&hellip;]<\/p>\n","protected":false},"featured_media":1180440,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr_hide_image_in_river":0,"footnotes":""},"research-area":[13556,13554,13568],"msr-video-type":[],"msr-locale":[268875],"msr-post-option":[],"msr-session-type":[],"msr-impact-theme":[],"msr-pillar":[],"msr-episode":[],"msr-research-theme":[],"class_list":["post-1180424","msr-video","type-msr-video","status-publish","has-post-thumbnail","hentry","msr-research-area-artificial-intelligence","msr-research-area-human-computer-interaction","msr-research-area-technology-for-emerging-markets","msr-locale-en_us"],"msr_download_urls":"","msr_external_url":"https:\/\/youtu.be\/v3VtcI6Tzfw","msr_secondary_video_url":"","msr_video_file":"http:\/\/0","_links":{"self":[{"href":"https:\/\/research.codeghost.online\/en-us\/research\/wp-json\/wp\/v2\/msr-video\/1180424","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/research.codeghost.online\/en-us\/research\/wp-json\/wp\/v2\/msr-video"}],"about":[{"href":"https:\/\/research.codeghost.online\/en-us\/research\/wp-json\/wp\/v2\/types\/msr-video"}],"version-history":[{"count":4,"href":"https:\/\/research.codeghost.online\/en-us\/research\/wp-json\/wp\/v2\/msr-video\/1180424\/revisions"}],"predecessor-version":[{"id":1180441,"href":"https:\/\/research.codeghost.online\/en-us\/research\/wp-json\/wp\/v2\/msr-video\/1180424\/revisions\/1180441"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/research.codeghost.online\/en-us\/research\/wp-json\/wp\/v2\/media\/1180440"}],"wp:attachment":[{"href":"https:\/\/research.codeghost.online\/en-us\/research\/wp-json\/wp\/v2\/media?parent=1180424"}],"wp:term":[{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/research.codeghost.online\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=1180424"},{"taxonomy":"msr-video-type","embeddable":true,"href":"https:\/\/research.codeghost.online\/en-us\/research\/wp-json\/wp\/v2\/msr-video-type?post=1180424"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/research.codeghost.online\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=1180424"},{"taxonomy":"msr-post-option","embeddable":true,"href":"https:\/\/research.codeghost.online\/en-us\/research\/wp-json\/wp\/v2\/msr-post-option?post=1180424"},{"taxonomy":"msr-session-type","embeddable":true,"href":"https:\/\/research.codeghost.online\/en-us\/research\/wp-json\/wp\/v2\/msr-session-type?post=1180424"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/research.codeghost.online\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=1180424"},{"taxonomy":"msr-pillar","embeddable":true,"href":"https:\/\/research.codeghost.online\/en-us\/research\/wp-json\/wp\/v2\/msr-pillar?post=1180424"},{"taxonomy":"msr-episode","embeddable":true,"href":"https:\/\/research.codeghost.online\/en-us\/research\/wp-json\/wp\/v2\/msr-episode?post=1180424"},{"taxonomy":"msr-research-theme","embeddable":true,"href":"https:\/\/research.codeghost.online\/en-us\/research\/wp-json\/wp\/v2\/msr-research-theme?post=1180424"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}