Digital Technology for Humans : The Myth of AI, Human Dignity, and Neo-Luddism.

Format:

Book

Author/Creator:

Hanna, Robert.

Language:

English

Subjects (All):

Artificial intelligence--Philosophy.

Artificial intelligence.

Dignity.

Physical Description:

1 online resource (222 pages)

Edition:

1st ed.

Place of Publication:

Berlin/Boston : Walter de Gruyter GmbH, 2025.

Summary:

This book explores the intersection of digital technology, artificial intelligence, and human dignity, advocating for a neo-Luddite approach in response to the myths and ethical dilemmas surrounding AI. It critically examines the concept of 'strong AI,' challenges the notion of transhumanism, and argues for the impossibility of machines achieving authentic human creativity or consciousness. Drawing on Kantian philosophy, the author emphasizes the importance of human dignity, moral responsibility, and the ethical use of technology in shaping society. The book provides a framework for dignitarian digital ethics and discusses the societal implications of unchecked technological advancements. It is intended for scholars, ethicists, technologists, and individuals interested in the philosophical and ethical aspects of digital technology and AI. Generated by AI.

Contents:

Acknowledgments

Contents

A Note on References to Kant’s Works

Further Abbreviations

1 Introduction: Digital Technology Is Our Tool, Not Our Master

2 Beyond Deep Thought: A New Critique of AI

3 What’s So Special About Human Dignity? Its Metaphysics

4 Human Dignity and The Highest Good: Nonideal Dignitarian Moral Theory

5 Moral Principles of Dignitarian Digital Ethics

6 How Digital Technology Can Systematically Shape Our Lives in Bad, False, and Wrong Ways, and How Radically Enlightened Dignitarians Can and Should Push Back Against It

7 Conclusion: Dignitarian Neo-Luddism with Respect to Digital Technology

References

Index Generated by AI.

Notes:

Description based on publisher supplied metadata and other sources.

Part of the metadata in this record was created by AI, based on the text of the resource.

ISBN:

3-11-126052-6

OCLC:

1517577777