Ethics in Artificial Intelligence : A Multidisciplinary Approach.

Format:

Book

Author/Creator:

Gouveia, Steven.

Language:

English

Physical Description:

1 online resource (412 pages)

Edition:

1st ed.

Place of Publication:

Ethics International Press 2025

Summary:

This book offers a comprehensive exploration of AI Ethics through a diverse range of disciplinary lenses, bringing together insights from fields such as philosophy, law, sociology, technology, and beyond. By integrating theoretical frameworks with practical perspectives, it explores unique ethical challenges posed by Artificial Intelligence in the 21st century. Each chapter examines a different dimension of AI Ethics, divided by two main sections: Part I addresses more theoretical topics, such as concerns about the meaning of "intelligence" in the concept of Artificial Intelligence, social robotics, and how agency and personhood can be affected by AI. Part II focuses on some practical issues concerning AI, such as machine translation in literary translation, safety issues in AI, data-driven maintenance planning in autonomous systems, ethical implications concerning the development and use of Brain-Machine Interfaces technologies, and an AI Governance case study from China. By adopting a multidisciplinary approach, the book seeks to provide a holistic understanding of how AI technologies can be developed and deployed in a manner that upholds ethical principles, ensuring that these advancements contribute to the well-being of individuals and society as a whole.

Contents:

Ethics in Artificial Intelligence: A Multidisciplinary Approach Introduction Chapter 1 Artificial Intelligence as a Dramatic Challenge: What of Human Reason AI Cannot Implement Chapter 2 No AGI Without XI, No XI Without I: Ethical Paradoxes and Borderline Scenarios in Artificial General Intelligence Chapter 3 Artificial Intelligence and Reflective Equilibrium Chapter 4 The Ethics of Social Robotic: An Overview Chapter 5 Artificial Intelligence and Personality: Some Philosophical and Ethical issues Chapter 6 Agency in Artificial Intelligence Systems Chapter 7 Ethics, Artificial Intelligence and Machine Translation in Literary Translation Chapter 8 Artificial Intelligence Safety as an Emerging Paradigm Chapter 9 Managing the Inductive Risk of Ethical Decision-making with Autonomous Systems: A Problem of Cost-Sensitive Optimization Chapter 10 Neurotechnologies and New Processes of Subjectivation: Problematizing Brain-Computer Interfaces from Michel Foucault's Perspective Chapter 11 Brain-Machine Interfaces and Artificial Intelligence: An Ethical Overview Chapter 12 Ethical Risks of Generative Artificial Intelligence and its Governance: Old Problems and New Challenges - An Analysis Based on China's Experience Chapter 13 On Monitorability of AI Short Bios

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

1-83711-092-1