TruaceTracing the truth around AIFriday, July 17, 2026
Education·G Space·Evidence-backed gain·Published 2026-07-16

Creative partnerships with generative AI. Possibilities for education and beyond

• Generative AI's role in creative production is accelerating, demanding new interaction models between humans and machines. • The authors explore human-AI creative production with ChatGPT and analyse outputs using the concept of alterity relations. • The findings present profound implications for reimagining the essence of creative outputs in education and creative industries. • AI's potentially transformative role as a collaborative partner in fostering creativity and innovation in education. The impact of gen…

TRV-2026-0234Peer-reviewedPermanent record — cite & verify
Creative partnerships with generative AI. Possibilities for education and beyond

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The quick read

On Dec 7 2024, two teacher-education academics reported an autoethnographic experiment in which each co-produced a creative work with ChatGPT, a poem and a multimodal narrative, and analyzed the process through Don Ihde's alterity relations to explore posthuman creative partnership.

The piece matters for education because it reframes AI from tool to potential collaborator, raising questions about authorship, assessment, and pedagogy; it remains uncertain how such partnerships scale beyond two educators' self-study to diverse classrooms, disciplines, and institutional policies.

Main points
  • Authors adopted a posthuman stance and used Don Ihde's concept of alterity relations to analyze human-AI interaction.
  • Method was autoethnographic, with each author producing a creative artifact using ChatGPT, one poem and one multimodal narrative.
  • Authors frame current models of human-machine interaction as insufficient for generative AI and describe the relationship as yet-to-be-fully-realised and emergent.
Gain

Human-AI co-creation with ChatGPT can function as a collaborative partnership that fosters creativity and innovation in educational settings.

The rundown

The authors position generative AI's impact on creative production as accelerating as models train on more diverse and extensive datasets, requiring new interaction models beyond prior human-machine frameworks.

Using alterity relations, they analyze their own ChatGPT-assisted poem and multimodal narrative to derive provocations for practitioners, researchers, educators and policymakers about the nature of creative output.

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