In this book, the author examines the ethical implications of Artificial Intelligence systems as they integrate and replace traditional social structures in new sociocognitive-technological environments. She discusses issues related to the integrity of researchers, technologists, and manufacturers as they design, construct, use, and manage artificially intelligent systems; formalisms for reasoning about moral decisions as part of the behavior of artificial autonomous systems such as agents and robots; and design methodologies for social agents based on societal, moral, and legal values. Throughout the book the author discusses related work, conscious of both classical, philosophical treatments of ethical issues and the implications in modern, algorithmic systems, and she combines regular references and footnotes with suggestions for further reading. This short overview is suitable for undergraduate students, in both technical and non-technical courses, and for interested and concerned researchers, practitioners, and citizens.

An essential resource on artificial intelligence ethics for business leaders In Trustworthy AI, award-winning executive Beena Ammanath offers a practical approach for enterprise leaders to manage business risk in a world where AI is everywhere by understanding the qualities of trustworthy AI and the essential considerations for its ethical use within the organization and in the marketplace. The author draws from her extensive experience across different industries and sectors in data, analytics and AI, the latest research and case studies, and the pressing questions and concerns business leaders have about the ethics of AI. Filled with deep insights and actionable steps for enabling trust across the entire AI lifecycle, the book presents: In-depth investigations of the key characteristics of trustworthy AI, including transparency, fairness, reliability, privacy, safety, robustness, and more A close look at the potential pitfalls, challenges, and stakeholder concerns that impact trust in AI application Best practices, mechanisms, and governance considerations for embedding AI ethics in business processes and decision making Written to inform executives, managers, and other business leaders, Trustworthy AI breaks new ground as an essential resource for all organizations using AI.

As smart cities become more prevalent, the need for explainable AI (XAI) applications has become increasingly important. Advances in Explainable AI Applications for Smart Cities is a co-edited book that showcases the latest research and development in XAI for smart city applications. This book covers a wide range of topics, including medical diagnosis, finance and banking, judicial systems, military training, manufacturing industries, autonomous vehicles, insurance claim management, and cybersecurity solutions. Through its diverse case studies and research, this book provides valuable insights into the importance of XAI in smart city applications. This book is an essential resource for undergraduate and postgraduate students, researchers, academicians, industry professionals, and scientists working in research laboratories. It provides a comprehensive overview of XAI concepts, advantages over AI, and its applications in smart city development. By showcasing the impact of XAI on various smart city applications, the book enables readers to understand the importance of XAI in creating more sustainable and efficient smart cities. Additionally, the book addresses the open challenges and research issues related to XAI in modern smart cities, providing a roadmap for future research in this field. Overall, this book is a valuable resource for anyone interested in understanding the importance of XAI in smart city applications.

In today's fast-paced business environment, organizations face increasingly complex ethical challenges. From navigating cultural differences in global operations to balancing profit motives with social responsibility, businesses must make moral decisions that impact their stakeholders and the broader society. However, many need more frameworks and insights to address these challenges effectively, leading to ethical dilemmas that can harm their reputation and bottom line. Ethical Quandaries in Business Practices: Exploring Morality and Social Responsibility is a practical guide for organizations and individuals grappling with ethical decision-making. Delving into real-world case studies and offering theoretical perspectives equips readers with the tools to analyze ethical challenges in various business contexts. From understanding the ethical implications of marketing strategies to promoting ethical leadership and corporate governance, this book offers actionable insights to help businesses navigate complex ethical landscapes. It also addresses the growing demand from consumers, investors, and regulators for enterprises to prioritize social responsibility, providing strategies for integrating ethical practices into organizational culture.

One need only look at the news to be bombarded with examples of corporate malfeasance and the impact such behavior has on a company’s public image, customers, employees, and bottom line. And while these stories grab the headlines, some companies are adopting practices that display awareness of their impact on the globe, whether that be to the environment, its employees and suppliers, or communities in which they do business. What factors are leading to these decisions? What are the benefits and costs of making ethical business decisions and acting in a socially responsible way, however one defines it? Issues in Business Ethics and Corporate Social Responsibility explores these foundational themes across a wide range of topics, including artificial intelligence, workplace surveillance, supply chain management, big data, the finance industry, and many more. Coupled with a broad introduction by Dr. David Weitzner, a professor of management at York University, this book provides students with the essential information they need to assess business practices through the lens of ethical decision-making and corporate social responsibility.

The relentless march of technology has given rise to a host of ethical dilemmas, challenging established notions of privacy, human rights, and societal obligations. The increasing ubiquity of artificial intelligence (AI) has heightened concerns regarding its ethical use, data protection, and the deepening digital divide. The enactment of the EU's Artificial Intelligence Act and the OECD's AI recommendations underscores the critical need to address these complex issues, highlighting the urgency of understanding the ethical implications of digital technologies. Balancing Human Rights, Social Responsibility, and Digital Ethics offers a compelling solution to these issues by exploring the moral implications of AI, data privacy, and digital access. This book provides a holistic framework for addressing the ethical complexities of the digital era. Through practical insights on the alignment of technological advancements with human rights and social responsibility, it guides academics, policymakers, and technology professionals seeking to navigate the ethical implications of digital technologies.

"Corporate Social Responsibility Transformed: Navigating the Digital Era" encapsulates a profound exploration across ten illuminating chapters. Each segment serves as a guiding light through the dynamic convergence of technology and social responsibility, revealing the profound evolution of CSR in the digital landscape. This meticulously crafted manuscript navigates the intricate terrain where technology intertwines with CSR principles. It dissects the nuances of digital inclusion, cybersecurity, ethical consumption, data-driven strategies and the transformative impact of AI, Blockchain technology and immersive realities within CSR frameworks. The book unfolds as a comprehensive guide, offering strategies and insights to harness the potential of digital platforms for social impact. It culminates in an exploration of the symbiotic relationship between CSR, sustainability and the vast possibilities presented by the Internet of Things (IoT). More than a compilation of chapters, this work presents a holistic tapestry of knowledge, empowering stakeholders to navigate the uncharted territories of a digitally integrated world. It invites scholars, policymakers and business leaders to not only comprehend but actively shape an ethical, sustainable future through the lens of CSR in the digital age.

Artificial Intelligence and Machine Learning for Sustainable Development is a comprehensive exploration of how artificial intelligence (AI) and machine learning (ML) technologies are revolutionizing the field of sustainable development. The book examines cutting-edge innovations, practical applications, and potential challenges in harnessing AI and ML to address global sustainability issues. It offers insights into how these technologies can optimize resource management, improve environmental monitoring, enhance decision-making processes, and promote equitable, eco-friendly solutions. This book would be of special interest to researchers, policymakers, and practitioners seeking to leverage cutting-edge technology for a more sustainable future.