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A Companion to Applied Philosophy of AI [#944048]
Free Download A Companion to Applied Philosophy of AI (Blackwell Companions to Philosophy)
English | 2025 | ISBN: 9781394238637 | 456 pages | PDF | 3.14 MB
A comprehensive guide to AI's 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 AI's 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 AI's 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 AI's 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 AI's 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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