AI for teams: The future of assisted collaborative work

dc.contributor.authorNiklasson, Axel
dc.description.abstractMy ethnographic fieldwork is focused on the role of artificial intelligence in the workplace, building on well-established themes in CSCW and also identifying new challenges in observations of distributed agencies and skill in collaborative work. Grounded in an increased and varied academic interest in the environments, policies and rights related to the future of work and a strong industry narrative around ways of work made possible by technology, I am interested in the deep change aspirations of artificial intelligence and machine learning applications and their role in a push for “digital transformation.” I seek to complement extensive but seemingly narrow studies of e.g. bias, trust and explanation in specific implementations where these fail to capture concerns we should have for work. Broadly, I want to ask, What is it that we’re trying to digitally transform with artificial intelligence? What happens in that transformation? How can we zoom out and expand our frame of reference? en
dc.publisherEuropean Society for Socially Embedded Technologies (EUSSET)
dc.relation.ispartofProceedings of 18th European Conference on Computer-Supported Cooperative Work
dc.relation.ispartofseriesReports of the European Society for Socially Embedded Technologies: vol. 4, no. 3
dc.titleAI for teams: The future of assisted collaborative worken
dc.typeText/Conference Paper
gi.conference.date13 - 17 June 2020
gi.conference.locationSiegen, Germany
gi.conference.sessiontitleDoctoral Colloquium


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