Navigating Social Trust in the AI Era.

Format:

Book

Author/Creator:

Samanta, Debabrata, author.

Language:

English

Subjects (All):

Artificial intelligence--Law and legislation.

Artificial intelligence.

Physical Description:

1 online resource (354 pages)

Edition:

1st ed.

Place of Publication:

Hershey : IGI Global Scientific Publishing, 2025.

Summary:

As artificial intelligence (AI) is integrated in everyday life, from decision-making algorithms in healthcare and finance to generative tools in media and education, the question of social trust emerges. Trust in AI systems extends beyond technical performance, encompassing ethical design, transparency, accountability, and the perceived intentions of those utilizing the technology. In this evolving landscape, individuals and societies must grapple with concerns around data privacy, algorithmic bias, and the erosion of human agency. Navigating social trust in the AI era requires an approach that combines responsible innovation, inclusive governance, and public engagement to ensure AI serves public interest rather than worsening existing inequalities. Navigating Social Trust in the AI Era explores the ethical, legal, and social implications of AI, with an emphasis on privacy issues and regulatory developments. It examines the intersection of new AI technologies, personal data, social trust, and governance structures, while providing both theoretical perspectives and practical examples. This book covers topics such as data science, ethics and law, and accounting and finance, and is a useful resource for sociologists, computer engineers, policymakers, academicians, researchers, and data scientists.

Contents:

Title Page

Copyright Page

Dedication

Editorial Advisory Board

Table of Contents

Detailed Table of Contents

Preface

Acknowledgment

Chapter 1: Foundations of AI Ethics

Chapter 2: Foundations of Artificial Intelligence Ethics

Chapter 3: Ethical Theories in AI

Chapter 4: AI for Complex Computational Solution With Respect to C Programming

Chapter 5: Global Regulatory Landscape

Chapter 6: Ethical Challenges and Governance of AI in Healthcare, Education, Finance, and Security Sectors

Chapter 7: AI in Critical Sectors

Chapter 8: AI and Human Dignity for Case Studies and Practical Frameworks for Corporate AI Governance Models

Chapter 9: Ai in Critical Sectors

Chapter 10: Demystifying Deepfakes

Chapter 11: Societal and Human Rights Implications to AI and Democracy, Labor, Automation, and the Future of Work

Compilation of References

About the Contributors

Index.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

979-83-373-7014-9

979-83-373-7013-2

OCLC:

1564376139