Luca M. Possati – författare

This book develops an original theoretical framework for understanding human-technology relations. The author’s approach, which he calls technoanalysis, analyzes artificial intelligence based on Freudian psychoanalysis, biosemiotics, and Latour’s actor-network theory.

How 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. Technoanalysis views 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. He proceeds to show how this conception of the relationship between the unconscious and technology can be applied to social robotics and AI.

Unconscious Networks will appeal to scholars and advanced students interested in philosophy of technology, philosophy of artificial intelligence, psychoanalysis, and science and technology studies.

This book develops an original theoretical framework for understanding human-technology relations. The author’s approach, which he calls technoanalysis, analyzes artificial intelligence based on Freudian psychoanalysis, biosemiotics, and Latour’s actor-network theory.

How 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. Technoanalysis views 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. He proceeds to show how this conception of the relationship between the unconscious and technology can be applied to social robotics and AI.

Unconscious Networks will appeal to scholars and advanced students interested in philosophy of technology, philosophy of artificial intelligence, psychoanalysis, and science and technology studies.

This book claims that continental philosophy gives us a new understanding of digital technology, and software in particular; its main thesis being that software is like a text, so it involves a hermeneutic process. A hermeneutic understanding of software allows us to explain those aspects of software that escape a strictly technical definition, such as the relationship with the user, the human being, and the social and cultural transformations that software produces. The starting point of the book is the fracture between living experience and the code. In the first chapter, the author argues that the code is the origin of the digital experience, while remaining hidden, invisible. The second chapter explores how the software can be seen as a text in Ricoeur’s sense. Before being an algorithm, code or problem solving, software is an act of interpretation. The third chapter connects software to the history of writing, following Kittler’s suggestions. The fourth chapter unifies the two parts of the book, the historical and the theoretical, from a Kantian perspective. The central thesis is that software is a form of reflective judgment, namely, digital reflective judgement.

What does humankind expect from AI? What kind of relationship between man and intelligent machine are we aiming for? Does an AI need to be able to recognize human unconscious dynamics to act for the "best" of humans—that "best" that not even humans can clearly define? Humanizing AI analyses AI and its numerous applications from a psychoanalytical point of view to answer these questions.

This important, interdisciplinary contribution to the social sciences, as applied to AI, shows that reflecting on AI means reflecting on the human psyche and personality; therefore conceiving AI as a process of deconstruction and reconstruction of human identity. 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.

Humanizing AI 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. It will also appeal to programmers, software designers, students, and professionals in the sciences.

What does humankind expect from AI? What kind of relationship between man and intelligent machine are we aiming for? Does an AI need to be able to recognize human unconscious dynamics to act for the "best" of humans—that "best" that not even humans can clearly define? Humanizing AI analyses AI and its numerous applications from a psychoanalytical point of view to answer these questions.

This important, interdisciplinary contribution to the social sciences, as applied to AI, shows that reflecting on AI means reflecting on the human psyche and personality; therefore conceiving AI as a process of deconstruction and reconstruction of human identity. 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.

Humanizing AI 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. It will also appeal to programmers, software designers, students, and professionals in the sciences.