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The project investigates the concept of Digital Human Twins and their implications for identity using contemporary art.

February 25, 2026AI & SocietyOpen Access

Machine Biography as Digital Human Twin: artistic explorations of predictive identity in the age of behavioural data

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The project investigates the concept of Digital Human Twins and their implications for identity using contemporary art.
Created 365 autobiographical books using different AI models to envision the artist's life in 2050.
Analyzed the project through posthuman theory and critical data studies to explore identity and prediction.
Engaged with speculative aesthetics to critique AI-based forecasting.
Demonstrated how the project challenges the utilitarian logic of digital twins.
Highlighted the political and aesthetic issues surrounding AI behavioral models.
Showed the transformation from data as a record to data as a form of speculation.

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This essay explores predictive identity in contemporary art using AI, suggesting a critique of digital twins.

Díaz et al. (2026) studied this question.

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