{"id":10009,"date":"2025-03-27T15:12:07","date_gmt":"2025-03-27T21:12:07","guid":{"rendered":"https:\/\/www.boisestate.edu\/computing\/?p=10009"},"modified":"2025-10-06T14:48:02","modified_gmt":"2025-10-06T20:48:02","slug":"social-impacts-of-computing-group-shares-report-and-analysis","status":"publish","type":"post","link":"https:\/\/www.boisestate.edu\/computing\/2025\/03\/27\/social-impacts-of-computing-group-shares-report-and-analysis\/","title":{"rendered":"Social Impacts of Computing group shares report and analysis"},"content":{"rendered":"\n

On February 25, 2025, Boise State University\u2019s Social Impacts of Computing group, in collaboration with the School of Computing, School for the Digital Future and College of Innovation and Design, convened a workshop on the impacts of AI on the workforce. The event was hosted at Hawley Troxell.<\/p>\n\n\n\n

Participants included faculty and staff from Boise State, along with local legal, government and business leaders. Participants were divided into five groups, each tasked with analyzing one of four AI adoption scenarios: High Industry Adoption\/Low Workforce Adoption,
Low Industry Adoption\/High Workforce Adoption, High Industry Adoption\/High Workforce Adoption, Low Industry Adoption\/Low Workforce Adoption, as well as a comprehensive view across all quadrants (depicted in Figure 1):<\/p>\n\n\n\n

\"Figure
First Row: High Industry \/ High Workforce<\/strong> Dark Optimism | High Industry \/ Low Workforce<\/strong> Structural Change
Second Row: Low Industry \/ High Workforce<\/strong> Power Shift | Low Industry \/ Low Workforce<\/strong> Caution & Uncertainty
Third Row: Cross-Cutting Themes<\/strong> Common Concerns<\/figcaption><\/figure>\n\n\n\n

Using a four-scenario framework, the groups examined how varying rates of AI adoption by industries and workforces could shape economic, social and organizational outcomes.<\/p>\n\n\n\n

Read the AI Scenario Planning Workshop Report and Analysis here.<\/a>
<\/p>\n","protected":false},"excerpt":{"rendered":"

On February 25, 2025, Boise State University\u2019s Social Impacts of Computing group, in collaboration with…<\/p>\n","protected":false},"author":3403,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[8],"tags":[46,6,37,9],"class_list":["post-10009","post","type-post","status-publish","format-standard","hentry","category-program-news","tag-ai-adoption","tag-artificial-intelligence","tag-computing","tag-school-of-computing"],"acf":[],"featured_image_url":"","author_name":"chrismurphy9","cats":["Program News"],"featured_caption":"","_links":{"self":[{"href":"https:\/\/www.boisestate.edu\/computing\/wp-json\/wp\/v2\/posts\/10009","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.boisestate.edu\/computing\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.boisestate.edu\/computing\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.boisestate.edu\/computing\/wp-json\/wp\/v2\/users\/3403"}],"replies":[{"embeddable":true,"href":"https:\/\/www.boisestate.edu\/computing\/wp-json\/wp\/v2\/comments?post=10009"}],"version-history":[{"count":2,"href":"https:\/\/www.boisestate.edu\/computing\/wp-json\/wp\/v2\/posts\/10009\/revisions"}],"predecessor-version":[{"id":11418,"href":"https:\/\/www.boisestate.edu\/computing\/wp-json\/wp\/v2\/posts\/10009\/revisions\/11418"}],"wp:attachment":[{"href":"https:\/\/www.boisestate.edu\/computing\/wp-json\/wp\/v2\/media?parent=10009"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.boisestate.edu\/computing\/wp-json\/wp\/v2\/categories?post=10009"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.boisestate.edu\/computing\/wp-json\/wp\/v2\/tags?post=10009"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}