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Generative AI and Broken Futures

Year: 2025

Type: article

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.

Source: Qualitative Inquiry

DOI: 10.1177/10778004251358070

Authors: Sarah Pink, Hannah Korsmeyer, Ben Lyall

Institutions: Monash University, RMIT University

Language: English

Topic: Qualitative Research Methods and Applications

Subfield: Education

Field: Social Sciences

Domain: Social Sciences

Open Access status: hybrid

Estimated APC paid: $3,900

Funder: Norges Forskningsråd