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A Guide for Trustworthy AI Implementations in the Smart Living Domain

dc.contributor.authorMihale-Wilson, Cristina
dc.contributor.authorLowin, Maximilian
dc.contributor.editorKlein, Maike
dc.contributor.editorKrupka, Daniel
dc.contributor.editorWinter, Cornelia
dc.contributor.editorGergeleit, Martin
dc.contributor.editorMartin, Ludger
dc.date.accessioned2024-10-21T18:24:16Z
dc.date.available2024-10-21T18:24:16Z
dc.date.issued2024
dc.description.abstractAdvances in AI facilitate the development of numerous smart solutions that significantly enhance efficiency and comfort for organizations and individual users. However, AI systems often suffer from the 'black box' problem and other issues that challenge their trustworthiness, and thus broad user acceptance. Since trust is crucial for the initial adoption and continued engagement with AI systems, there are numerous academic and practice-driven efforts to articulate requirements for trustworthy AI applications. The sheer volume of frameworks and information can be overwhelming. This article distills prior literature and practice insights and presents a structured guide outlining the main requirements for trustworthy AI applications. While we focus on the smart living domain, our aim is to provide concrete guidance for development and reduce the complexity of the topic for SMEs seeking to develop AI applications in various application fields.en
dc.identifier.doi10.18420/inf2024_153
dc.identifier.isbn978-3-88579-746-3
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/45129
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.subjectRequirements for Trustworthy AI
dc.subjectTrust in AI systems
dc.subjectSmart Living
dc.titleA Guide for Trustworthy AI Implementations in the Smart Living Domainen
dc.typeText/Conference Paper
gi.citation.endPage1770
gi.citation.publisherPlaceBonn
gi.citation.startPage1759
gi.conference.date24.-26. September 2024
gi.conference.locationWiesbaden
gi.conference.sessiontitleKünstliche Intelligenz im Mittelstand / KI-KMU2024

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