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Navigating education and work futures through generative AI: transmaterial philosophy, education, and the algorithmic arts
Journal article   Peer reviewed

Navigating education and work futures through generative AI: transmaterial philosophy, education, and the algorithmic arts

David Rousell, Bixiao Zhang, Seth Brown, Susan Rook, Jonathan J. Felix, Bonnie Lester, Zihua Wu and Ha Mi Tran-Dinh
Learning, media and technology, Vol.First Online
14/01/2026
DOI: https://doi.org/10.1080/17439884.2025.2609761
Appears in  Recent Faculty of Education Publications

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Abstract

Generative AI creativeindustries higher education algorithmic art assemblagetheory policy analysis educational design
The creative industries are shifting rapidly with the emergence of generative AI technologies. These transitions provide new opportunities for young people entering higher education in the creative industries, while perpetuating existing patterns of extraction and marginalisation under late capitalism. This article turns to the algorithmic arts in search of counter-practices that disrupt instrumental applications of AI within creative industries and higher education. Bringing the philosophy of technology into conversation with education and the digital arts, the authors identify three tactics to inform educational design with AI: (1) continuous mattering between algorithms and world; (2) playing with algorithmic assemblages; and (3) ethics-in-formation. The article builds on these critical tactics to inform the development of AI-powered software for navigating education and work futures in Southeast Asia. By situating generative AI within broader assemblages of human relationships with algorithms, the article offers critical interpretations of AI and its situated design implications for the creative industries and higher education.

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