ABSTRACT

Artificial intelligence is increasingly integrated into spaces of art and culture, promising efficiency, personalisation, and expanded access. Yet these systems operate within structures shaped by political austerity, privatisation, and global inequalities.

Curating Bias examines how generative AI reshapes curatorial practice, alters exhibition narratives, and reinforces existing power relations through opaque decision-making, hidden labour, and algorithmic feedback loops. By tracing the social, economic, and environmental conditions that underpin AI, the book argues that technological innovation in the cultural sector cannot be understood apart from the structural biases it reproduces.

Curating Bias calls for critical transparency and renewed public responsibility in the design and governance of cultural spaces, positioning generative AI as a form of speculative practice that opens exhibition design to critical imagination and shared reflection on how knowledge is visualised in contemporary design.

PORTFOLIO 

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