The Oxford Handbook of Ethics of AI

  • 21h 5m
  • Frank Pasquale, Markus D. Dubber, Sunit Das
  • Oxford University Press (US)
  • 2021

This volume tackles a quickly-evolving field of inquiry, mapping the existing discourse as part of a general attempt to place current developments in historical context; at the same time, breaking new ground in taking on novel subjects and pursuing fresh approaches.

The term "A.I." is used to refer to a broad range of phenomena, from machine learning and data mining to artificial general intelligence. The recent advent of more sophisticated AI systems, which function with partial or full autonomy and are capable of tasks which require learning and 'intelligence', presents difficult ethical questions, and has drawn concerns from many quarters about individual and societal welfare, democratic decision-making, moral agency, and the prevention of harm. This work ranges from explorations of normative constraints on specific applications of machine learning algorithms today-in everyday medical practice, for instance-to reflections on the (potential) status of AI as a form of consciousness with attendant rights and duties and, more generally still, on the conceptual terms and frameworks necessarily to understand tasks requiring intelligence, whether "human" or "A.I."

In this Book

  • The Artificial Intelligence of the Ethics of Artificial Intelligence: An Introductory Overview for Law and Regulation
  • The Ethics of the Ethics of AI
  • Ethical Issues in Our Relationship with Artificial Entities
  • AI Governance by Human Rights–Centered Design, Deliberation, and Oversight: An End to Ethics Washing
  • The Incompatible Incentives of Private-Sector AI
  • Normative Modes: Codes and Standards
  • The Role of Professional Norms in the Governance of Artificial Intelligence
  • We're Missing a Moral Framework of Justice in Artificial Intelligence: On the Limits, Failings, and Ethics of Fairness
  • Accountability in Computer Systems
  • Transparency
  • Responsibility and Artificial Intelligence
  • The Concept of Handoff as a Model for Ethical Analysis and Design
  • Race and Gender
  • The Future of Work in the Age of AI: Displacement or Risk-Shifting?
  • AI as a Moral Right-Holder
  • Could You Merge with AI?: Reflections on the Singularity and Radical Brain Enhancement
  • Are Sentient AIs Persons?
  • Autonomy
  • Troubleshooting AI and Consent
  • Is Human Judgment Necessary?: Artificial Intelligence, Algorithmic Governance, and the Law
  • Sexuality
  • Perspectives on Ethics of AI: Computer Science
  • Social Failure Modes in Technology and the Ethics of AI: An Engineering Perspective
  • A Human-Centered Approach to AI Ethics: A Perspective from Cognitive Science
  • Integrating Ethical Values and Economic Value to Steer Progress in Artificial Intelligence
  • Fairness Criteria Through the Lens of Directed Acyclic Graphs: A Statistical Modeling Perspective
  • Automating Origination: Perspectives from the Humanities
  • Perspectives on Ethics of AI: Philosophy
  • The Complexity of Otherness: Anthropological Contributions to Robots and AI
  • Calculative Composition: The Ethics of Automating Design
  • AI and the Global South: Designing for Other Worlds
  • Perspectives and Approaches in AI Ethics: East Asia
  • Artificial Intelligence and Inequality in the Middle East: The Political Economy of Inclusion
  • Europe: Toward a Policy Framework for Trustworthy AI
  • Ethics of Artificial Intelligence in Transport
  • The Case for Ethical AI in the Military
  • The Ethics of AI in Biomedical Research, Patient Care, and Public Health
  • Ethics of AI in Law: Basic Questions
  • Beyond Bias: "Ethical AI" in Criminal Law
  • "Fair Notice" in the Age of AI
  • AI and Migration Management
  • Robot Teaching, Pedagogy, and Policy
  • Algorithms and the Social Organization of Work
  • Smart City Ethics: How "Smart" Challenges Democratic Governance
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