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dc.contributor.authorBeudt, Susan
dc.contributor.authorBlanc, Berit
dc.contributor.authorFeichtenbeiner, Rolf
dc.contributor.authorKähler, Marco
dc.date.accessioned2021-01-06T06:15:19Z
dc.date.available2021-01-06T06:15:19Z
dc.date.issued2020
dc.identifier.urihttp://dl.gi.de/handle/20.500.12116/34579
dc.description.abstractApplications of artificial intelligence are increasingly being used to support work and learning in the workplace. Adaptivity and recommender systems, as key features of such innovative technologies, allow for enhanced personalization. Most notably, persons with disabilities may benefit from such technologies at work and during on-the-job training. Adapting such systems to very heterogeneous target groups, however, is not easily done. Implementing AI-based assistive systems in various educational settings in vocational training, especially in vocational rehabilitation, can also be challenging. This position paper looks at existing AI-based applications to analyze their potential for more inclusive workplaces and qualification processes. Furthermore, those technologies are discussed in the context of current ethical discourses to identify to what extent normative requirements are being reflected in existing AI-based applications.en
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.z
dc.relation.ispartofProceedings of DELFI Workshops 2020
dc.relation.ispartofseriesDELFI
dc.subjectassistive technologies
dc.subjectinclusion
dc.subjectAI
dc.subjectethics
dc.subjectvocational training
dc.titleCritical reflection of AI applications for persons with disabilities in vocational rehabilitationen
dc.typeText/Conference Paper
dc.pubPlaceBonn
mci.document.qualitydigidoc
mci.conference.sessiontitleDELFI: Workshop
mci.conference.locationonline
mci.conference.date14.-17. September 2020
dc.identifier.doi10.18420/delfi2020-ws-116


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