{"id":4920,"date":"2023-11-13T14:38:43","date_gmt":"2023-11-13T14:38:43","guid":{"rendered":"https:\/\/humaine.info\/human-centered-ai-requires-context-specific-understanding-new-publication\/"},"modified":"2023-11-17T16:49:23","modified_gmt":"2023-11-17T16:49:23","slug":"human-centered-ai-requires-context-specific-understanding-new-publication","status":"publish","type":"post","link":"https:\/\/humaine.info\/en\/human-centered-ai-requires-context-specific-understanding-new-publication\/","title":{"rendered":"Human-centered AI requires context-specific understanding (new publication)"},"content":{"rendered":"<p class=\"v1MsoNormal\">Different definitions and approaches to the human-centered use of artificial intelligence (AI) in work processes coexist in the literature. They differ depending on the respective discipline and the area of application under investigation. In a recently published paper in <i>Frontiers in Artificial Intelligence<\/i>, Prof. Dr. Uta Wilkens, Daniel Lupp and Dr. Valentin Langholf from the Chair of Work, Human Resources and Leadership apply a systematic literature analysis to derive context-specific understandings of human-centered AI. They highlight several actors in organizations with their respective focus on different partial solutions. Depending on the context and hierarchical level, different sets of criteria for human-centricity are pursued (e.g. data security, employment security or user integration). However, convincing solutions regarding human-centricity require integrative efforts towards technology, organizational and personnel development, involving different stakeholders and hierarchical levels.<\/p>\n<p class=\"v1MsoNormal\">The full text of the article can be accessed here:<\/p>\n<p class=\"v1MsoNormal\"><span lang=\"EN-US\"><a href=\"https:\/\/www.frontiersin.org\/articles\/10.3389\/frai.2023.1272159\/full\" target=\"_blank\" rel=\"noopener noreferrer\"><span lang=\"DE\">https:\/\/www.frontiersin.org\/articles\/10.3389\/frai.2023.1272159\/full<\/span><\/a><\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Different definitions and approaches to the human-centered use of artificial  [&#8230;]<\/p>\n","protected":false},"author":10,"featured_media":4872,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"footnotes":""},"categories":[40],"tags":[],"class_list":["post-4920","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news-en"],"_links":{"self":[{"href":"https:\/\/humaine.info\/en\/wp-json\/wp\/v2\/posts\/4920","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/humaine.info\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/humaine.info\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/humaine.info\/en\/wp-json\/wp\/v2\/users\/10"}],"replies":[{"embeddable":true,"href":"https:\/\/humaine.info\/en\/wp-json\/wp\/v2\/comments?post=4920"}],"version-history":[{"count":1,"href":"https:\/\/humaine.info\/en\/wp-json\/wp\/v2\/posts\/4920\/revisions"}],"predecessor-version":[{"id":4921,"href":"https:\/\/humaine.info\/en\/wp-json\/wp\/v2\/posts\/4920\/revisions\/4921"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/humaine.info\/en\/wp-json\/wp\/v2\/media\/4872"}],"wp:attachment":[{"href":"https:\/\/humaine.info\/en\/wp-json\/wp\/v2\/media?parent=4920"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/humaine.info\/en\/wp-json\/wp\/v2\/categories?post=4920"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/humaine.info\/en\/wp-json\/wp\/v2\/tags?post=4920"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}