Contemporary Debates In Philosophy- Contemporary Debates In The Ethics Of Artificial Intelligence

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Contemporary Debates in the Ethics of Artificial Intelligence brings together a diverse group of leading scholars and rising voices from philosophy, computer science, and law to explore the philosophical and practical challenges posed by rapidly evolving AI technologies. Edited by leading scholars Sven Nyholm, Atoosa Kasirzadeh, and John Zerilli, this authoritative volume provides a cutting-edge overview of the ethical landscape of AI, addressing both foundational concepts and urgent real-world applications. Through a structured format balancing a wide range of viewpoints, the book considers questions such as: Is AI a new kind of moral agent? How should we respond to algorithmic bias and opacity? What are the implications of AI for privacy, autonomy, and control? The essays examine both near-term and long-term risks while also considering the future of AI governance, the moral status of intelligent systems, and the alignment of machine behavior with human values. Providing valuable insights into the debates that matter most, Contemporary Debates in the Ethics of Artificial Intelligence is ideal for undergraduate and graduate students in philosophy, computer science, law, and public policy, particularly in courses on AI ethics, technology and society, or digital governance. It is also a valuable resource for researchers, policymakers, and industry professionals seeking a comprehensive and critical introduction to the ethical dimensions of artificial intelligence.

A cutting-edge selection of current issues and explorations of the ethics of artificial intelligence As artificial intelligence continues to influence virtually every facet of modern life, Contemporary Debates in the Ethics of Artificial Intelligence offers a timely and rigorous examination of the field's most pressing questions. Equally useful in the classroom or as a reference for interdisciplinary research, this volume fosters informed and critical engagement with the ethical dimensions of artificial intelligence in today's world. Curated by renowned scholars Sven Nyholm, Atoosa Kasirzadeh, and John Zerilli, Contemporary Debates in the Ethics of Artificial Intelligence brings together a dynamic mix of established leaders and emerging voices from both philosophy and computer science. The result is a uniquely structured collection of debates that not only introduces key concepts—such as agency, moral status, and value alignment—but also challenges readers to engage deeply with controversies around bias, transparency, and the societal risks posed by AI technologies. Providing frameworks for engaging responsibly with current and future AI technologies, Contemporary Debates in the Ethics of Artificial Intelligence:

Presents a dual-perspective debate format that fosters critical thinking and comparative analysis
Includes both foundational conceptual discussions and cutting-edge applied ethical issues
Features original contributions from interdisciplinary experts in philosophy, law, cognitive science, and computer science
Addresses timely topics such as algorithmic bias, opacity, value alignment, and the moral status of AI
Explores forward-looking concerns, including the future of AI governance and long-term existential risks

Contemporary Debates in the Ethics of Artificial Intelligence is ideal for undergraduate, advanced undergraduate, and graduate-level courses in philosophy, computer science, public policy, and related disciplines. It is well-suited for courses such as Ethics of Artificial Intelligence, Technology and Society, and Digital Ethics in philosophy, computer science, political science, international relations, and data science programs.

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Productinformatie

Presents a dual-perspective debate format that fosters critical thinking and comparative analysis
Includes both foundational conceptual discussions and cutting-edge applied ethical issues
Features original contributions from interdisciplinary experts in philosophy, law, cognitive science, and computer science
Addresses timely topics such as algorithmic bias, opacity, value alignment, and the moral status of AI
Explores forward-looking concerns, including the future of AI governance and long-term existential risks