{"id":225,"date":"2024-03-27T10:05:21","date_gmt":"2024-03-27T10:05:21","guid":{"rendered":"https:\/\/wp.lancs.ac.uk\/caiss\/?p=225"},"modified":"2024-03-27T10:05:21","modified_gmt":"2024-03-27T10:05:21","slug":"hypotheses-devised-by-ai-could-find-blind-spots-in-research","status":"publish","type":"post","link":"https:\/\/wp.lancs.ac.uk\/caiss\/2024\/03\/27\/hypotheses-devised-by-ai-could-find-blind-spots-in-research\/","title":{"rendered":"Hypotheses devised by AI could find \u201cblind spots\u201d in research"},"content":{"rendered":"\n<div class=\"twitter-share\"><a href=\"https:\/\/twitter.com\/intent\/tweet?via=caiss_uk\" class=\"twitter-share-button\">Tweet<\/a><\/div>\n<div class=\"page\" title=\"Page 3\">\n<div class=\"section\">\n<div class=\"layoutArea\">\n<div class=\"column\">\n<p>Could \u201cArtificial Intelligence (AI) have a creative role in the scientific process\u201d was a question posed in 2023 by a group of researchers in Stockholm. AI is already being used in literature searches, to automate data collection, run statistical analyses and even for drafting some parts of industry and academic papers. Sendhil Mullainathan, an economist at the University of Chicago Booth School of Business in Illinois has suggested using AI to generate hypotheses and stated \u201cit\u2019s probably been the single most exhilarating kind of research I\u2019ve ever done in my life\u201d.<\/p>\n<p>AI could help with creativity as using large language models (LLM\u2019s) to create new text, even if it is inaccurate, it could lead to a statement such as: \u201chere\u2019s a kind of thing that looks true\u201d; when you think about it, this is exactly what a hypothesis is! These \u201challucinations\u201d are sometimes likely to be something that a human would not make and could aid thinking outside of the box.<\/p>\n<p>Hypotheses are on a spectrum from concrete and specific to the abstract and general, using AI in areas where fundamentals remain hidden could generate insights. For example we know there is this behaviour happening, but we do not know why, could the AI identify some rules that could possibly be applied to this situation? James Evans, a sociologist at the University of Chicago says AI systems that generate hypotheses based purely on machine learning require a lot of data. Should we be looking to build AI that goes beyond \u201cmatching pattens&#8221; but can also be guided by known laws? Rose Yu, a computer scientist at the University of California, San Diego states that it would be a \u201cpowerful way to include understanding the limits is crucial, people still need scientific knowledge into AI systems\u201d.<\/p>\n<\/div>\n<\/div>\n<div class=\"layoutArea\">\n<div class=\"column\">\n<p>Ross King a computer scientist at Chalmers University of Technology in Gothenburg is o think in a critical way. Is a coordinated campaign building robotic systems that perform experiments. Factors are being adjusted subtly in his &#8220;&#8216;Genesis&#8217; systems allowing these robot scientists to be more constant, unbiased. cheap, efficient and transparent than humans\u201d.<\/p>\n<\/div>\n<\/div>\n<div class=\"layoutArea\">\n<div class=\"column\">\n<p>Hypothesis generation by AI is not new, in the 1980\u2019s Don Swanson pioneered \u201cliterature based discovery\u201d with some software he created called \u201cArrowsmith\u201d that searched for indirect connections and proposed for example that fish oil might help treat Raynaud\u2019s syndrome, where human circulation is limited in the hands. This hypothesis when taken forward was proved to be correct in that it decreased the bloods viscosity leading to improved circulation.<\/p>\n<p>Data gathering is becoming more automated and automating hypothesis generation could become an important factor as there is more data being generated than humans can handle. Scaling up \u201cintelligent, adaptive questions\u201d will ensure that this capacity is not wasted.<br \/>\nSo What? This approach could lead to valid hypotheses being developed which are clear and broad in areas where the underlying principals are poorly understood. A panacea perhaps to \u201cresearchers block\u201d to unlock blind spots? For Defence this could mean helping to avoid group think, encourage more innovation outside of the chain of command and enabling things to be done differently in an often slow to change organisation. AI could prove to be a lot more useful than performing Literature Reviews.<\/p>\n<p>Full article: <a href=\"https:\/\/www.nature.com\/articles\/d41586-023-03596-0?utm_source=Live+Audience&amp;utm_campaign=bcf816985b-briefing-ai-20231128&amp;utm_medium=email&amp;utm_term=0_b27a691814-bcf816985b-51936156&amp;mc_cid=bcf816985b&amp;mc_eid=b523f3ab86\">Nature magazine<\/a><\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Could \u201cArtificial Intelligence (AI) have a creative role in the scientific process\u201d was a question posed in 2023 by a group of researchers in Stockholm. AI is already being used&hellip; <a href=\"https:\/\/wp.lancs.ac.uk\/caiss\/2024\/03\/27\/hypotheses-devised-by-ai-could-find-blind-spots-in-research\/\" class=\"more-link\">Continue reading <span class=\"screen-reader-text\">Hypotheses devised by AI could find \u201cblind spots\u201d in research<\/span><\/a><\/p>\n","protected":false},"author":1669,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[3,4],"tags":[],"class_list":["post-225","post","type-post","status-publish","format-standard","hentry","category-articles","category-litreview","without-featured-image"],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/wp.lancs.ac.uk\/caiss\/wp-json\/wp\/v2\/posts\/225","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/wp.lancs.ac.uk\/caiss\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/wp.lancs.ac.uk\/caiss\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/wp.lancs.ac.uk\/caiss\/wp-json\/wp\/v2\/users\/1669"}],"replies":[{"embeddable":true,"href":"https:\/\/wp.lancs.ac.uk\/caiss\/wp-json\/wp\/v2\/comments?post=225"}],"version-history":[{"count":1,"href":"https:\/\/wp.lancs.ac.uk\/caiss\/wp-json\/wp\/v2\/posts\/225\/revisions"}],"predecessor-version":[{"id":226,"href":"https:\/\/wp.lancs.ac.uk\/caiss\/wp-json\/wp\/v2\/posts\/225\/revisions\/226"}],"wp:attachment":[{"href":"https:\/\/wp.lancs.ac.uk\/caiss\/wp-json\/wp\/v2\/media?parent=225"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/wp.lancs.ac.uk\/caiss\/wp-json\/wp\/v2\/categories?post=225"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/wp.lancs.ac.uk\/caiss\/wp-json\/wp\/v2\/tags?post=225"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}