On what basis can we challenge Artificial Intelligence (AI) - its infusion, investment, and implementation across the globe? This book answers this question by drawing on a range of critical approaches from the social sciences and humanities, including posthumanism, ethics and human values, surveillance studies, Black feminism, and other strategies for social and political resistance. The authors analyse timely topics, including bias and language processing, responsibility and machine learning, COVID-19 and AI in health technologies, bio-AI and nanotechnology, digital ethics, AI and the gig economy, representations of AI in literature and culture, and many more. This book is for those who are currently working in the field of AI critique and disruption as well as in AI development and programming. It is also for those who want to learn more about how to doubt, question, challenge, reject, reform and otherwise reprise AI as it been practiced and promoted.

The Impossible Clinic explores the conundrum of evidence-based medicine's (EBM) attempt to translate evidence from medical research into recommendations for practice. Ironically, when medical institutions combine disciplinary regulations with EBM to produce clinical practice guidelines, the outcomes are antithetical to the aim. Such guidelines fail to increase individual physicians' capacity to judge - as EBM promises - because they externalize judgment while imposing disciplinary control. The Impossible Clinic is the first book to interrogate the history, practice, and pitfalls of EBM and how it persists due to intersecting relationships between professional medical regulation and liberal governance strategies.