A Companion to Applied Philosophy of AI

Name: A Companion to Applied Philosophy of AI
Price: 161 USD
Availability: InStock
ISBN: 9781394238620

by Martin Hähnel, Regina Müller

1st Edition

Publisher: Wiley-Blackwell

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Book Details

Print ISBN	9781394238620
eText ISBN	9781394238637
Publisher	Wiley-Blackwell
Publishing Year	2025
Edition	1st Edition
Language	English
Pages	464

A Companion to Applied Philosophy of AI, 1st Edition, is a comprehensive reference volume designed to establish a critical philosophical framework for analyzing artificial intelligence. Edited by Martin Hähnel and Regina Müller, the book supports undergraduate students, graduate students, and interdisciplinary researchers who require a structured approach to technical and theoretical concepts.

The text develops its primary focus through core ethical theories and epistemology. Readers encounter detailed analyses of consequentialism, deontology, virtue ethics, and feminist ethics applied directly to machine operations. The theoretical progression extends into epistemological questions, examining explainability in algorithmic decision systems as well as the broader dynamics of epistemic authority in AI.

Published by Wiley-Blackwell across 464 pages, this edition provides clear conceptual grounding for academic environments. The material serves AI policy researchers and governance professionals who seek rigorous philosophical tools to address emerging questions in contemporary technology environments.

Chapter Part I: Methodological Foundations
Chapter 1: Introduction to Applied Philosophy of AI: Foundations, Contexts, and Perspectives
Chapter 2: Philosophy of AI: A Structured Overview
Chapter 3: Applied Philosophy of AI as Conceptual Design
Chapter Part II: Relevant Areas of Research
Chapter 4: AI and Knowledge of the Self
Chapter 5: AI and the Philosophy of Expertise and Epistemic Authority
Chapter 6: Deep Opacity in AI: A Threat to XAI and Standard Privacy Protection Mechanisms
Chapter 7: Explainability in Algorithmic Decision Systems
Chapter 8: Epistemology and Politics of AI
Chapter 9: AI and Epistemic Injustice
Chapter 10: Ethical Theories for AI: Systematizing the Discourse
Chapter 11: Deontology in AI
Chapter 12: Consequentialism and AI
Chapter 13: Virtue Ethics and AI
Chapter 14: Feminist Ethics and AI
Chapter 15: Robots, Wrasse, and the Evolution of Reciprocity
Chapter 16: Ethical Design of Datafication by Principles of Biomedical Ethics
Chapter 17: Embedding Ethics into Medical AI
Chapter 18: Simulating Moral Exemplars: On the Possibility of Virtuous Machines
Chapter 19: Trust in AI
Chapter 20: Are Large Language Models Embodied?: Basic Empathy with Disembodied Others
Chapter 21: The Social Turn in the Ethics of AI: Between Deliberation and Relational Justice
Chapter 22: AI, Critical Theory, and the Concept of Progress
Chapter 23: Artificial Power: Power, Technoperformances, and the Politics of AI
Chapter 24: AI and Fundamental Rights
Chapter 25: Global Governance of AI, Cultural Values, and Human Rights
Chapter 26: Collective Ownership of AI
Chapter 27: AI Personhood
Chapter Part III: The Future of Applied Philosophy of AI
Chapter 28: The Future of Human Responsibility: AI, Responsibility Gaps, and Asymmetries Between Praise and Blame
Chapter 29: Artificial Moral Agents
Chapter 30: AI-aided Moral Enhancement: Exploring Opportunities and Challenges