Generative AI and Broken Futures

In this article we consider and demonstrate the use of Generative AI (GenAI) in the design of qualitative futures research materials. We discuss how GenAI, and the speculative futures stories that it can be trained to generate, can be engaged to invoke people’s experiences and imaginaries of possible futures. We focus on how GenAI stories can be employed to enable a corrective perspective of anticipatory realism , to disrupt dominant narratives, illuminate the brokenness of possible futures, and invoke proposals for their possible repair. We draw on the example of research into automated and robotic work futures in Australia’s construction industry.

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Publication Details

Journal
Qualitative Inquiry
Published
2025-08-12
DOI
https://doi.org/10.1177/10778004251358070
Citations
3
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
7.10

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article

Generative AI and Broken Futures

Hannah Korsmeyer, Ben Lyall, Sarah Pink
3 citations
Qualitative Inquiry
Ethics and Social Impacts of AI
7.10
article

Generative AI and Broken Futures

Hannah Korsmeyer, Ben Lyall, Sarah Pink
article en
3 citations

Abstract

In this article we consider and demonstrate the use of Generative AI (GenAI) in the design of qualitative futures research materials. We discuss how GenAI, and the speculative futures stories that it can be trained to generate, can be engaged to invoke people’s experiences and imaginaries of possible futures. We focus on how GenAI stories can be employed to enable a corrective perspective of anticipatory realism , to disrupt dominant narratives, illuminate the brokenness of possible futures, and invoke proposals for their possible repair. We draw on the example of research into automated and robotic work futures in Australia’s construction industry.

Qualitative Inquiry
Monash University (AU), RMIT University (AU)
Norges Forskningsråd
Openalex Percentile: Top 3%
Ethics and Social Impacts of AI
7.10
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