Humanizing Artificial Intelligence

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Humanizing Artificial Intelligence

Author: Luca M. Possati
language: en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date: 2023-10-04
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.
Humanizing Artificial Intelligence

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.
Humanizing Technology With Emotional Intelligence

In an era where technology permeates every aspect of our lives, the imperative for sentient systems has never been greater. This necessity stems from the recognition that effective human-computer interaction (HCI) transcends mere transactional exchanges, aspiring instead to foster connections that are as nuanced and empathetic as those between humans. Emotional intelligence in computing systems, therefore, is not a luxury but a prerequisite for creating technologies that enhance, rather than hinder, our daily lives. Affective computing, the interdisciplinary domain at the heart of this endeavor, bridges the gap between human emotional experience and computational technology, aiming to imbue machines with the ability to detect, interpret, and respond to human emotions. Humanizing Technology With Emotional Intelligence delves into the why and how of incorporating emotional intelligence into computing systems. The book provides a comprehensive overview of both the theoretical foundations and the practical applications of affective computing in HCI. Covering topics such as automotive safety, holistic student development, and social robotics, this book is an excellent resource for academicians, researchers, graduate and postgraduate students, software developers, product managers, and more.