<?xml version="1.0" encoding="UTF-8"?><rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcq="http://purl.org/dc/terms/"><records count="1" morepages="false" start="1" end="1"><record rownumber="1"><dc:product_type>Journal Article</dc:product_type><dc:title>Discovering and Validating AI Errors With Crowdsourced Failure Reports</dc:title><dc:creator>Cabrera, Ángel Alexander [Carnegie Mellon University, Pittsburgh, PA, USA]; Druck, Abraham J. [Carnegie Mellon University, Pittsburgh, PA, USA]; Hong, Jason I. [Carnegie Mellon University, Pittsburgh, PA, USA]; Perer, Adam [Carnegie Mellon University, Pittsburgh, PA, USA]</dc:creator><dc:corporate_author/><dc:editor/><dc:description/><dc:publisher/><dc:date>2021-10-13</dc:date><dc:nsf_par_id>10302586</dc:nsf_par_id><dc:journal_name>Proceedings of the ACM on Human-Computer Interaction</dc:journal_name><dc:journal_volume>5</dc:journal_volume><dc:journal_issue>CSCW2</dc:journal_issue><dc:page_range_or_elocation/><dc:issn>2573-0142</dc:issn><dc:isbn/><dc:doi>https://doi.org/10.1145/3479569</dc:doi><dcq:identifierAwardId>2040942</dcq:identifierAwardId><dc:subject/><dc:version_number/><dc:location/><dc:rights/><dc:institution/><dc:sponsoring_org>National Science Foundation</dc:sponsoring_org></record></records></rdf:RDF>