Technologies of Speculation by Sun-ha Hong
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Description
Technologies of Speculation: The Limits of Knowledge in a Data-Driven Society by Sun-ha Hong is a critical examination of how contemporary society relies on data, surveillance, and predictive technologies to manage uncertainty and generate knowledge. Hong explores the promises and pitfalls of a world increasingly shaped by speculative practices—where data-driven systems claim to predict and preempt future events, yet often operate on uncertainty rather than certainty. The book argues that technologies such as predictive policing, algorithmic decision-making, and big data analytics do not necessarily produce objective truth or knowledge. Instead, they often rely on speculative logics that blur the line between evidence and imagination. Hong critically analyzes how these technologies frame what counts as knowledge, truth, and evidence, and how they shape public policy, security measures, and everyday life under the guise of efficiency and neutrality. Hong delves into examples ranging from security screening systems to self-tracking devices, showing how data collection and analysis are frequently underpinned by assumptions, probabilities, and risk calculations rather than verifiable facts. The book highlights the social and ethical implications of living in a society where data-driven speculation is taken as truth, and it questions who benefits from these technological promises—and who is left vulnerable. Technologies of Speculation offers a nuanced and thought-provoking critique of the data-driven society, challenging readers to rethink the authority of technological knowledge and to question the speculative foundations of modern surveillance and prediction. It is an essential read for scholars and students in media studies, science and technology studies, sociology, and anyone interested in the politics of data and the future of knowledge production.
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