This article explores how play reveals insights in technology studies, highlighting its role in knowledge creation.
This article argues that play can function as a legitimate epistemological method: a structured way of generating new knowledge about the world. Drawing on anarchist theory, feminist philosophy, and Science and Technology Studies, the author develops a theory of play as a free, relational, and performative engagement with the world that produces knowledge not through representation but through enactment. Play, in this framework, is characterized by voluntary rule adoption, world-appropriation, and the blurring of boundaries to reveal what is possible rather than merely what is. This argument is grounded in a concrete case study: Probably Not, an iOS application that exploits the statistical uncertainty of machine vision systems to generate critical insight into how AI ‘sees.’ The app demonstrates how a playful method can contribute to critical technology studies by making hidden assumptions in machine learning visible through humorous, rule-breaking interaction. The article positions play as an epistemology of the liminal, the temporary, and the possible.
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Miguel Sicart (2025) studied this question.
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