Humanize Ai
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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 AI with Personality
Author: Gulnara Z. Karimova
language: en
Publisher: Springer Nature
Release Date: 2025-02-10
Humanizing AI with Personality examines artificial intelligence from ethical, business, and technical perspectives, offering a preliminary yet comprehensive guide for decision-makers interested in integrating conversational agents with distinct personalities. This book provides an understanding of the key factors for crafting AI systems imbued with human-like attributes, equipping them to engage thoughtfully with the varied demands of organizational contexts and societal expectations. By addressing the ethical challenges, technical approaches, and practical considerations associated with implementing AI with personality, this book serves as an essential resource for those seeking to understand the multiple dimensions involved.
Responsible Implementations of Generative Al
Responsible Implementations of Generative AI the ethical, technical, and societal considerations of deploying generative AI systems. It delves into fairness, transparency, bias mitigation, and regulatory frameworks, offering guidelines for responsible AI development. The examines real-world applications, potential risks, and strategies for ensuring AI aligns with human values. Designed for researchers, policymakers, and industry professionals, it provides insights into balancing innovation with accountability. Through case studies and expert analyses, it highlights best practices for creating ethical AI solutions that foster trust, safety, and inclusivity in an increasingly AI-driven world.