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A Companion To Applied Philosophy Of Ai - ENG

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ISBN: 9781394238637
Formato: ePub
Idioma: Inglés
Editorial: Wiley Global Research (STMS)
Tema: Filosofía
Subtema: Obras de Referencia
Año de publicación: 2025-06-24

A comprehensive guide to AIs ethical, epistemological, and legal impacts through applied philosophy Inartificial intelligence (AI) influences nearly every aspect of society. A Companion to Applied Philosophy of AI provides a critical philosophical framework for understanding and addressing its complexities. Edited by Martin Hähnel and Regina Müller, this volume explores AIs practical implications in epistemology, ethics, politics, and law. Moving beyond a narrow ethical perspective, the authors advocate for a multi-faceted approach that synthesizes diverse disciplines and perspectives, offering readers a nuanced and integrative understanding of AIs transformative role. The Companion explores a broad range of topics, from issues of transparency and expertise in AI-driven systems to discussions of ethical theories and their relevance to AI, such as consequentialism, deontology, and virtue ethics. Filling a significant gap in the current academic literature, this groundbreaking volume also addresses AIs broader social, political, and legal dimensions, equipping readers with practical frameworks to navigate this rapidly evolving field. Offering fresh and invaluable insights into the interplay between philosophical thought and technological innovation, A Companion to Applied Philosophy of AI: Features contributions from leading philosophers and interdisciplinary experts Offers a unique applied philosophy perspective on artificial intelligence Covers diverse topics including ethics, epistemology, politics, and law Encourages interdisciplinary dialogue to better understand AIs profound implications for humanity A Companion to Applied Philosophy of AI is ideal for undergraduate and graduate courses in applied philosophy, AI ethics, political theory, and legal philosophy. It is also a vital reference for those working in areas including AI policy, governance, and interdisciplinary research.

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