Human-Centric AI: Balancing Automation and Ethical Decision-Making in Business

About the Book

Human-Centric AI: Balancing Automation and Ethical Decision-Making in Business calls for urgent exploration of the role artificial intelligence plays in today’s business realities. As AI increasingly reshapes global industries and society, its diffusion introduces complex ethical and social questions. This book responds to the growing need for frameworks that truly bridge technological innovation and human values, paving the way for AI to deliver not only efficiency but also fairness, transparency, and accountability.

The work serves to close the gap between AI’s fast-paced progressions and the moral considerations that permeate multiple sectors. Each chapter addresses one dimension of this challenge, engaging with in-depth case studies, expert opinions, and literature reviews on the safe integration of AI. The book covers diverse sectors such as healthcare, education, agriculture, and tourism, highlighting both the opportunities and challenges associated with AI-driven ethical decision-making in automation processes.

The multisectoral approach is one of the key contributions of this volume. While most publications on AI primarily focus on technological advancements, this book emphasizes the importance of embedding ethical frameworks across different industries. It provides practical recommendations on how businesses can strike a balance between leveraging AI benefits and mitigating associated risks, including data privacy concerns, regulatory compliance, bias in decision-making, and labor market disruptions.

Addressing the increasing demand for robust AI governance, the book offers guidance for policymakers, industry leaders, and academics to navigate the ethical complexities of AI in business contexts. Ultimately, this publication seeks to empower organizations to harness AI responsibly, ensuring integration that supports sustainable, fair, and human-centered progress.

Tentative Chapters

Chapter 1: Foundation of Human-Centric AI in Business: A Multisectoral Perspective

Chapter 2: AI Adoption in the Textile Industry: Balancing Innovation, Efficiency, and Ethical Responsibility

Chapter 3: AI in the Sports Industry: Enhancing Performance while Ensuring Compliance and Fair Play

Chapter 4: Ethical Decision-Making in AI-Driven Tourism Services: A Case Study Approach

Chapter 5: Transforming Education with AI: Personalization, Ethics, and the Future of Learning

Chapter 6: AI in Healthcare: Ethical Risk Assessment and Responsible Decision-Making

Chapter 7: Legal Implications of AI in Agriculture: A Systematic Review on Farmer Protection and Fairness

Chapter 8: AI in Textile Manufacturing: Legal Challenges, Ethical Considerations, and Industrial Transformation

Chapter 9: AI and Workforce Dynamics in the Pharmaceutical Sector: Expert Insights on Automation and Employment

Chapter 10: AI in E-Commerce: Striking the Balance Between Customer Privacy and Hyper-Personalization

Chapter 11: AI, Ethics, and Financial Inclusion in the Insurance Industry: A Systematic Literature Review

Chapter 12: Human–AI Collaboration in the Workplace: Ethical Challenges and Opportunities

Chapter 13: Fairness in AI-Powered Financial Services: Addressing Bias in Credit Scoring and Lending

Chapter 14: AI and Consumer Trust: Addressing Ethical Concerns in Digital Marketing and Advertising

Chapter 15: Conclusion: The Future of Human-Centric AI: Toward Ethical Innovation Across Sectors

For any query, contact:
Sonal Trivedi
trivedi.sonal86@gmail.com