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Man vs. machine: A study comparing super-recognizers and artificial intelligence

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dc.contributor.authorLietsch, Maria
dc.contributor.authorPreuß, Svenja
dc.contributor.authorBecker, Sven
dc.contributor.authorLabudde, Dirk
dc.contributor.editorKlein, Maike
dc.contributor.editorKrupka, Daniel
dc.contributor.editorWinter, Cornelia
dc.contributor.editorGergeleit, Martin
dc.contributor.editorMartin, Ludger
dc.date.accessioned2024-10-21T18:24:25Z
dc.date.available2024-10-21T18:24:25Z
dc.date.issued2024
dc.description.abstractThis study addresses the limits of human and artificial intelligence (AI) in face recognition using a specially designed test, which consists of tasks regarding person identification and lookalike discrimination. It was divided into nine sets of four or five queries each. The assignments, presented in the study, were performed by ten super-recognizers from the Chemnitz police department (Saxony) as well as the AI systems “Face Recognition” and “GhostFaceNet”. The evaluation revealed considerable differences in the results of the individual super-recognizers (SR). Additionally, the comparison between human and artificial intelligence in particular revealed clear limitations of the AI in relation to the tasks set. To further evaluate the super-recognizers and AI systems, additional tests are planned, covering various topics such as the identification of siblings or the recognition of faces aged by AI.en
dc.identifier.doi10.18420/inf2024_29
dc.identifier.eissn2944-7682
dc.identifier.isbn978-3-88579-746-3
dc.identifier.issn2944-7682
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/45187
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofINFORMATIK 2024
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-352
dc.subjectSuper-Recognizer
dc.subjectArtificial Intelligence (AI)
dc.subjectFace Recognition
dc.subjectGhostFaceNet
dc.titleMan vs. machine: A study comparing super-recognizers and artificial intelligenceen
dc.typeText/Conference Paper
gi.citation.endPage415
gi.citation.publisherPlaceBonn
gi.citation.startPage405
gi.conference.date24.-26. September 2024
gi.conference.locationWiesbaden
gi.conference.sessiontitle4. International Workshop on Digital Forensics (IWDF4)

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