{"id":654,"date":"2024-11-13T11:06:52","date_gmt":"2024-11-13T02:06:52","guid":{"rendered":"https:\/\/www.aicritique.org\/us\/?p=654"},"modified":"2024-11-13T11:08:15","modified_gmt":"2024-11-13T02:08:15","slug":"artificial-intelligence-scientific-discoveryand-product-innovation","status":"publish","type":"post","link":"https:\/\/www.aicritique.org\/us\/2024\/11\/13\/artificial-intelligence-scientific-discoveryand-product-innovation\/","title":{"rendered":"Artificial Intelligence, Scientific Discovery,and Product Innovation*"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\">Aidan Toner-Rodgers\u2020<br>MIT<br>November 6, 2024<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">This paper examines AI&#8217;s impact on innovation by introducing a new materials discovery technology to 1,018 scientists. AI-assisted researchers discovered 44% more materials, leading to a 39% increase in patent filings and a 17% rise in product innovation. These new compounds are more novel and result in more radical inventions. However, the benefits are uneven: while top scientists nearly double their output, the bottom third see little gain. AI automates 57% of &#8220;idea-generation&#8221; tasks, reallocating researchers to evaluate AI-generated candidates. Top scientists effectively prioritize promising suggestions using their expertise, while others waste resources on false positives. Despite demonstrating the potential of AI-augmented research and highlighting the synergy between algorithms and human expertise, 82% of scientists report reduced job satisfaction due to decreased creativity and underutilized skills.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><a href=\"https:\/\/aidantr.github.io\/files\/AI_innovation.pdf\">https:\/\/aidantr.github.io\/files\/AI_innovation.pdf<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Aidan Toner-Rodgers\u2020MITNovember 6, 2024 This paper examines AI&#8217;s impact on innovation by introducing a new materials discovery technology to 1,018 scientists. AI-assisted researchers discovered 44% more materials, leading to a 39% increase in patent filings and a 17% rise in&hellip;<\/p>\n","protected":false},"author":2,"featured_media":655,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[16],"tags":[],"class_list":["post-654","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-reports"],"_links":{"self":[{"href":"https:\/\/www.aicritique.org\/us\/wp-json\/wp\/v2\/posts\/654","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.aicritique.org\/us\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.aicritique.org\/us\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.aicritique.org\/us\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.aicritique.org\/us\/wp-json\/wp\/v2\/comments?post=654"}],"version-history":[{"count":2,"href":"https:\/\/www.aicritique.org\/us\/wp-json\/wp\/v2\/posts\/654\/revisions"}],"predecessor-version":[{"id":657,"href":"https:\/\/www.aicritique.org\/us\/wp-json\/wp\/v2\/posts\/654\/revisions\/657"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.aicritique.org\/us\/wp-json\/wp\/v2\/media\/655"}],"wp:attachment":[{"href":"https:\/\/www.aicritique.org\/us\/wp-json\/wp\/v2\/media?parent=654"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.aicritique.org\/us\/wp-json\/wp\/v2\/categories?post=654"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.aicritique.org\/us\/wp-json\/wp\/v2\/tags?post=654"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}