Artificial intelligence behind the scenes: PubMed's Best Match algorithm.
This article focuses on PubMed's Best Match sorting algorithm, presenting a simplified explanation of how it operates and highlighting how artificial intelligence affects search results in ways that are not seen by users. We further discuss user search behaviors and the ethical implications of algor...
| Publicado en: | Journal of the Medical Library Association Vol. 110; no. 1; pp. 15 - 23 |
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| Autores principales: | , |
| Formato: | pictorial Journal Article |
| Publicado: |
University of Pittsburgh, University Library System
Jan2022
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=155262505&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 155262505 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 15365050 PI8 jtl: Journal of the Medical Library Association issn: 15365050 maglogo: N pubinfo: dt: Jan2022 vid: 110 iid: 1 pid: 60406 pub: University of Pittsburgh, University Library System place: Pittsburgh, Pennsylvania artinfo: ui: 155262505 155262505 155262505 10.5195/jmla.2022.1236 155262505 ppf: 15 ppct: 8 formats: fmt: @attributes: type: P tig: atl: Artificial intelligence behind the scenes: PubMed's Best Match algorithm. aug: au: Kiester, Lucy Turp, Clara affil: Liaison Librarian, McGill University Library, Montreal, Quebec, Canada sug: subj: Artificial Intelligence PubMed Algorithms Medical Informatics Information Retrieval Web Search Engines Data Mining Decision Support Systems, Clinical Automation User-Computer Interface Information Seeking Behavior Decision Making, Clinical ab: This article focuses on PubMed's Best Match sorting algorithm, presenting a simplified explanation of how it operates and highlighting how artificial intelligence affects search results in ways that are not seen by users. We further discuss user search behaviors and the ethical implications of algorithms, specifically for health care practitioners. PubMed recently began using artificial intelligence to improve the sorting of search results using a Best Match option. In 2020, PubMed deployed this algorithm as the default search method, necessitating serious discussion around the ethics of this and similar algorithms, as users do not always know when an algorithm uses artificial intelligence, what artificial intelligence is, and how it may impact their everyday tasks. These implications resonate strongly in health care, in which the speed and relevancy of search results is crucial but does not negate the importance of a lack of bias in how those search results are selected or presented to the user. As a health care provider will not often venture past the first few results in search of a clinical decision, will Best Match help them find the answers they need more quickly? Or will the algorithm bias their results, leading to the potential suppression of more recent or relevant results? pubtype: Academic Journal doctype: pictorial Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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