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‘Help!? My students created an evil AI’: on the irony of speculative methods and design fiction
KTH, School of Architecture and the Built Environment (ABE), Philosophy and History, History of Science, Technology and Environment.ORCID iD: 0000-0002-0410-8241
2025 (English)In: Learning, Media & Technology, ISSN 1743-9884, E-ISSN 1743-9892, Vol. 50, no 4, p. 417-431Article in journal (Refereed) Published
Abstract [en]

This article contributes to moving forward current discourses about speculative methods by explaining how they can become critical in practice. It explores how the collaborative construction of speculative technological solutions (in this case relating to AI in education) can reveal an implicit acceptance of restricting imaginaries. In three design fiction workshops, a total of 36 teacher students were given the task to create an AI-powered technical solution to a self-identified and urgent problem in education. These design workshops revealed several interesting ‘ironies’ relevant to both actual technical development as well as speculative methods about technological futures. The ironies include an ‘ironic imitation’ of the discourses and norms that are perceived as surrounding contemporary technology. These workshops further reveal and question discourses about desirable learning, and as such these ironies are productive in illuminating power asymmetries, thereby creating space for important failures, resistances, and disruptions.

Place, publisher, year, edition, pages
Informa UK Limited , 2025. Vol. 50, no 4, p. 417-431
Keywords [en]
speculative methods, design fiction, education futures, anticipated futures, AIEd, educational imaginaries, WPR, artificial intelligence, Foucault
National Category
Educational Sciences Other Humanities
Research subject
History of Science, Technology and Environment
Identifiers
URN: urn:nbn:se:kth:diva-351868DOI: 10.1080/17439884.2024.2367707ISI: 001256885100001Scopus ID: 2-s2.0-85197283307OAI: oai:DiVA.org:kth-351868DiVA, id: diva2:1890005
Projects
AI and Autonomous Systems in Data-Based Environmental Research
Note

QC 20260126

Available from: 2024-08-18 Created: 2024-08-18 Last updated: 2026-01-26Bibliographically approved

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Rahm, Lina

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CiteExportLink to record
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Citation style
  • apa
  • ieee
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  • vancouver
  • Other style
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Language
  • de-DE
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  • en-US
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Output format
  • html
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