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Welcome to the Machine: Ir/Responsible Use of Machine Learning in Research Recommendation Tools


Metadata FieldValueLanguage
dc.contributorAli Krzton, alk0043@auburn.eduen_US
dc.creatorKrzton, Ali
dc.date.accessioned2023-03-17T21:44:21Z
dc.date.available2023-03-17T21:44:21Z
dc.date.created2023-03-17
dc.identifier.urihttps://aurora.auburn.edu/handle/11200/50507
dc.identifier.urihttp://dx.doi.org/10.35099/aurora-575
dc.description.abstractMachine learning is changing how researchers interact with scholarly literature. While it has the potential to reveal exciting new connections between areas of study, popular commercial tools that provide recommendations to users based on personalized profiles developed with machine learning can negatively impact the breadth of sources they will discover. Over time, they may even limit the questions researchers are willing to explore. Find out what machine learning is and how it is being deployed to make the literature more manageable, then learn strategies to warn users about its pitfalls and advocate for the responsible use of this technology.en_US
dc.format.pptxen_US
dc.publisherAssociation of College & Research Librariesen_US
dc.relation.ispartofACRL 2023en_US
dc.rightsCreative Commons Attribution 4.0 International License (CC-BY)en_US
dc.subjectmachine learningen_US
dc.subjectartificial intelligenceen_US
dc.subjectscholarly communicationen_US
dc.subjectuser profilingen_US
dc.titleWelcome to the Machine: Ir/Responsible Use of Machine Learning in Research Recommendation Toolsen_US
dc.typeTexten_US
dc.type.genrePresentation, Paper Presentationen_US
dc.description.peerreviewNoen_US
dc.creator.alternateKrzton, Alicia
dc.locationPittsburgh, PAen_US
dc.creator.orcid0000-0001-9979-2471en_US

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