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dc.contributor.authorThompson, Terrie Lynnen_UK
dc.contributor.authorGraham, Bruceen_UK
dc.contributor.editorBonderup Dohn, Ninaen_UK
dc.contributor.editorJørgen Hansen, Jensen_UK
dc.contributor.editorBørsen Hansen, Stigen_UK
dc.contributor.editorRyberg, Thomasen_UK
dc.contributor.editorde Laat, Maartenen_UK
dc.description.abstractProfessional workers practice at the intersection of public narratives about artificial intelligence (AI), the AI industry, and regulatory frameworks. Yet, there is limited understanding of the interactions between workers, AI systems, and the publics they serve. To inform networked learning scholarship, there is a pressing need to study the knowledge that workers are developing as they learn to work with AI and the implications for networked learning within the workplace and higher education. We bring social and computing science perspectives alongside more-than-human sensitivities to explore how professional expertise, judgment, accountability, and control is being re-distributed between human workers and AI systems. By sketching the changes AI is provoking we highlight the fine-grained research and analysis necessary to ensure that AI design and deployment is critically informed by in-depth understandings of how people are actually engaging with algorithmic systems. We raise questions about what trust and confidence in new AI-infused work practices is needed (or possible). Attention is drawn to the complexities of AI-mediated work, which invites re-thinking ways to generate the evidence needed to inform networked work-learning practices. Highlighted throughout is the power of AI narratives and the importance of advancing alternative, more nuanced, narratives.en_UK
dc.publisherSpringer International Publishingen_UK
dc.relationThompson TL & Graham B (2021) A more-than-human approach to researching AI at work: Alternative narratives for human and AI co-workers. In: Bonderup Dohn N, Jørgen Hansen J, Børsen Hansen S, Ryberg T & de Laat M (eds.) Conceptualizing and innovating education and work with networked learning. Research in Networked Learning. Springer International Publishing.
dc.relation.ispartofseriesResearch in Networked Learningen_UK
dc.rightsThis item has been embargoed for a period. During the embargo please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author. You can only request a copy if you wish to use this work for your own research or private study. This is a post-peer-review, pre-copyedit version of a paper published in Bonderup Dohn N, Jørgen Hansen J, Børsen Hansen S, Ryberg T & de Laat M (eds.) Conceptualizing and innovating education and work with networked learning. Research in Networked Learning. Springer International Publishing, 2021. The final authenticated version is available online at:
dc.subjectartificial intelligenceen_UK
dc.subjectnetworked learningen_UK
dc.subjectprofessional worken_UK
dc.subjectethics of technologyen_UK
dc.subjectmore-than- humanen_UK
dc.subjectpublic understanding of technologyen_UK
dc.titleA more-than-human approach to researching AI at work: Alternative narratives for human and AI co-workersen_UK
dc.typePart of book or chapter of booken_UK
dc.rights.embargoreason[thompson graham_forthcoming_ai work_feb 2021 prepub.pdf] Publisher requires embargo of 24 months after publication.en_UK
dc.type.statusAM - Accepted Manuscripten_UK
dc.citation.btitleConceptualizing and innovating education and work with networked learningen_UK
dc.description.notesOutput Status: Forthcomingen_UK
dc.contributor.affiliationComputing Scienceen_UK
rioxxterms.apcnot requireden_UK
rioxxterms.typeBook chapteren_UK
local.rioxx.authorThompson, Terrie Lynn|0000-0002-8166-3791en_UK
local.rioxx.authorGraham, Bruce|0000-0002-3243-2532en_UK
local.rioxx.projectInternal Project|University of Stirling|
local.rioxx.contributorBonderup Dohn, Nina|en_UK
local.rioxx.contributorJørgen Hansen, Jens|en_UK
local.rioxx.contributorBørsen Hansen, Stig|en_UK
local.rioxx.contributorRyberg, Thomas|en_UK
local.rioxx.contributorde Laat, Maarten|en_UK
local.rioxx.filenamethompson graham_forthcoming_ai work_feb 2021 prepub.pdfen_UK
Appears in Collections:Faculty of Social Sciences Book Chapters and Sections

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