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dc.contributor.authorBoggust, Angie
dc.contributor.authorHoover, Benjamin
dc.contributor.authorSatyanarayan, Arvind
dc.contributor.authorStrobelt, Hendrik
dc.date.accessioned2022-11-09T17:57:28Z
dc.date.available2022-11-09T17:57:28Z
dc.date.issued2022-04-27
dc.identifier.isbn978-1-4503-9157-3
dc.identifier.urihttps://hdl.handle.net/1721.1/146250
dc.publisherACM|CHI Conference on Human Factors in Computing Systemsen_US
dc.relation.isversionofhttps://doi.org/10.1145/3491102.3501965en_US
dc.rightsCreative Commons Attribution 4.0 International licenseen_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.sourceACM|CHI Conference on Human Factors in Computing Systemsen_US
dc.titleShared Interest: Measuring Human-AI Alignment to Identify Recurring Patterns in Model Behavioren_US
dc.typeArticleen_US
dc.identifier.citationBoggust, Angie, Hoover, Benjamin, Satyanarayan, Arvind and Strobelt, Hendrik. 2022. "Shared Interest: Measuring Human-AI Alignment to Identify Recurring Patterns in Model Behavior."
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Scienceen_US
dc.identifier.mitlicensePUBLISHER_CC
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dc.date.updated2022-11-03T00:22:32Z
dc.language.rfc3066en
dc.rights.holderThe author(s)
dspace.date.submission2022-11-03T00:22:32Z
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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