Front Matter
Abstract
Welcome to Human-Centric Artificial Intelligence: Ethics, Trust, and Sustainable Business Transformation. Over the last several decades, artificial intelligence has been transformed from a far-fetched notion from works of science fiction to a game-changing phenomenon impacting the global economy, industry, organization, and society. Today’s intelligent machines play a role in decision-making, process automation, risk identification and management, and value creation across banking and insurance, healthcare, marketing, agriculture, manufacturing, sports administration, and office management. However, alongside these technological developments come critical issues concerning ethics, transparency, accountability, trust, fairness, and sustainable governance in AI systems. The current volume focuses on one of the most pressing issues of the contemporary digital age: how businesses and societies can make use of artificial intelligence without sacrificing humanity, ethics, and social responsibility.
Chapter 1: Human-AI Collaboration in Decision Making: Ethics, Trust, and Workforce
Sustainability covers the increasing relationship between humans and intelligent systems in decision-making within organizations. This chapter emphasizes the significance of ensuring ethics, workforce sustainability, and trust during the implementation of AI in strategic and operations management activities.
Chapter 2, "Where Emotional Intelligence Meets Artificial Intelligence: Ethics and Trust in Human-AI Cooperation," examines the relationship between emotional intelligence and artificial intelligence systems. This chapter focuses on the role of empathy and emotional intelligene in fostering successful working relationships between humans and intelligent systems.
Chapter 3: Human-AI Collaboration in the Workplace: Ethical Issues and Opportunities covers the ethical issues associated with AI adoption in organizational workplaces and the opportunities that come with such technological advancements.
Chapter 4: Human-AI Interaction in the Workplace: Ethical Issues and Opportunities is another elaboration on organizational issues related to AI-enabled workplaces. The focus of this chapter lies in finding the balance between the technological efficiency of using artificial intelligence in organizations and protecting employees' well-being and ethical standards of operation.
Chapter 5, "Explainable AI and Emotional Regulation in Mental Health Applications: Toxic Positivity and the Transparency of Ethical Pathways," considers explainable AI in mental health contexts. The themes that will be discussed include transparency, emotional regulation, and the associated ethical issues.
Chapter 6: AI in Finance - Fairness in Algorithmic Scoring and Lending: Algorithmic
Discrimination in Financial Decision-Making, is devoted to algorithmic bias in finance and to how algorithms may contribute to discrimination in lending and scoring without being intentionally biased.
Chapter 7: Fairness of Algorithms vs. Financial Inclusion in Automated Insurance
Underwriting: A Systematic Review will consider the relationship between algorithmic
fairness and financial inclusion in insurance underwriting decisions.
Chapter 8 – Artificial Intelligence in Sustainable Finance: Theoretical Insights, Trends, and Future Directions addresses the increasing use of AI in the context of sustainable investing and financial decision-making while considering the ethical and legal ramifications of AI infused financial systems.
Chapter 9 - Ethical Challenges of Artificial Intelligence and Consumer Trust in Digital
Marketing and Advertising Examines the effects that various AI technologies may have on consumer attitudes, privacy, and trust within digital marketing systems.
Chapter 10 – AI and Customer Trust: Addressing Ethical Concerns in Digital Marketing and Advertising further discusses the ethical challenges organizations face in AI-based customer interactions and highlights the importance of transparency in their communication.
Chapter 11 – AI and Consumer Trust: Addressing Ethical Concerns in Digital Marketing and Advertising continues the discussion on ethical marketing practices and examines how organizations can maintain consumer trust in increasingly automated digital ecosystems.
Chapter 12: The Role of Digital Influencers in Shaping the Finances and Consumer Decision Making of Generation Y. This chapter examines the role of digital influencers and AI-based marketing practices in influencing the behaviour and financial decisions of younger generations.
Chapter 13: The Impact of Artificial Intelligence in Sports Management Within
Organizations of the Pro Kabaddi League in India. This chapter examines the use of AI technologies in sports organizations for analytics, team management, performance
improvement, and decision-making.
Chapter 14: AI in Textile Manufacturing: Legal and Ethical Responsibilities and the
Transformation of Industry. This chapter examines how AI technology transforms the
manufacturing industry through automation, while considering legal and ethical
responsibilities.
Chapter 15: Legal Issues Related to AI in the Agriculture Sector: A Systematic Review of Issues of Protection and Fairness. In this chapter, the author examines how AI technologies have influenced agriculture and the problems associated with farmer protection, data and information ownership, and fairness.
Chapter 16: Future of Human-centric Artificial Intelligence: Ethical Innovations Across
Industries. This chapter explores the future scope of research in the light of ethical
innovations.
We are profoundly grateful to all authors for their academic contributions, research, and dedication in expanding our understanding of this vital subject matter. Furthermore, we are deeply grateful to the reviewers for their invaluable contributions in improving the chapters through their professional input and expertise. Lastly, we are greatly appreciative of all the readers who took the time to read this book and are interested in these relevant topics.
