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AI gives rise to processes of identification and de-identification that are not simply extensions of human identities—as post-humanist or trans-humanist approaches believe—but completely new forms of identification. \u003c\/p\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003e\u003cem\u003eHumanizing AI\u003c\/em\u003e will benefit a broad audience: undergraduates, postgraduates and teachers in sociology, social theory, science and technology studies, cultural studies, philosophy, social psychology, and international relations. 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The author’s approach, which he calls \u003ci\u003etechnoanalysis\u003c\/i\u003e, analyzes artificial intelligence based on Freudian psychoanalysis, biosemiotics, and Latour’s actor-network theory.\u003c\/p\u003e\u003cp\u003eHow can we communicate with AI to determine shared values and objectives? And what, ultimately, do we want from machines? These are crucial questions in our world, where the influence of AI-based technologies is rapidly growing. Unconscious dynamics influence AI and digital technology and understanding them is essential to better controlling AI systems. This book’s unique methodology— which combines psychoanalysis, biosemiotics, and actor-network theory—reveals a radical reformulation of the problem of the human mind. \u003ci\u003eTechnoanalysis \u003c\/i\u003eviews the mind as a hybrid network of humans and nonhuman actants in constant interaction with one another. The author argues that human unconscious dynamics influence and shape technology, just as technology influences and shapes human unconscious dynamics. 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