The research surrounding artificial intelligence (AI) is vast and quite diverse in both its applied and theoretical fields. AI tools and techniques, such as machine learning, data mining, neural networks, and advanced analytics, are evolving at a high speed, creating a consistent need for updated research. This is especially relevant with frequent developments for the application of AI technology in many science and industry sectors. This rapid expansion created a need for research that focuses on the questions surrounding the development of AI such as ethical issues, responsible AI methods and applications, and its widespread implementation. Within the answers to these questions is the prevailing notion that AI should be accountable, explainable, transparent, and fair for all organizations and individuals. Responsible AI and Ethical Issues for Businesses and Governments widens the understanding of AI outside of the “narrow” technical perspective to a broader viewpoint that embraces the links between AI theory, practice, and policy. The chapters in this book discuss the basic philosophical and conceptual foundations of AI and explores the responsible application of AI tools and methods, the moral aspects of AI, practical issues, and responsible AI implementation across a range of industries. While highlighting topics that include digital transformation, ethical competence, information literacy in AI, and the interaction between AI and humans, this book is ideally designed for IT specialists, technology developers, technologists, ethicists, practitioners, stakeholders, academicians, students, and researchers who are interested in learning more about the ethical and responsible use of AI.

In an era where artificial intelligence (AI) is rapidly transforming every aspect of our lives— from healthcare and education to finance and national security—society stands at a critical crossroads. The promise of AI is undeniable: enhanced efficiency, groundbreaking discoveries, and solutions to some of the world’s most complex challenges. But alongside this remarkable potential lies profound responsibility. As AI technologies become more autonomous and embedded into the fabric of our world, they also introduce ethical dilemmas that demand our immediate attention. "Navigating AI Ethics: Building a Responsible and Equitable Future" is a timely exploration of these ethical challenges. It offers a comprehensive guide to understanding how AI systems can—and must—be developed and deployed in ways that reflect the principles of fairness, accountability, and human dignity. The decisions we make today in governing AI will reverberate for generations to come, shaping not only technological progress but also the very fabric of our global society. Ethical considerations in AI are no longer abstract thought experiments confined to academic circles. We are already witnessing the real-world impact of AI systems in determining who gets hired, who receives loans, how law enforcement resources are allocated, and even who receives critical medical care. Yet, as these technologies become more powerful, they also become more opaque, raising urgent questions about transparency, bias, accountability, and control. Who is responsible when AI systems make mistakes or produce biased outcomes? How can we ensure that AI serves the interests of all humanity rather than reinforcing existing inequalities or creating new ones? This book aims to provide answers to these questions by offering a roadmap for building a responsible and equitable AI future. It explores the ethical principles that should guide AI development and presents practical frameworks for incorporating these principles into real-world applications. Drawing on insights from philosophers, technologists, policymakers, and industry leaders, "Navigating AI Ethics" seeks to balance innovation with ethical responsibility. At its core, this book is about safeguarding the human element in AI. As much as we are captivated by the potential of intelligent machines, the ultimate goal must always be to enhance, rather than diminish, human well-being. This involves not only preventing harm and addressing bias but also ensuring that the benefits of AI are distributed fairly across all sectors of society. As you journey through this book, you will gain a deeper understanding of the evolution of AI ethics, from early theoretical discussions to the concrete challenges facing us today. You will explore the pivotal roles that data, bias, privacy, and transparency play in shaping AI’s ethical landscape, and you will confront the difficult questions surrounding autonomy, accountability, and control in an increasingly automated world. The book also offers a forward-looking perspective, examining the future of AI ethics as we edge closer to the development of superintelligent systems, and how global cooperation will be essential to navigating these uncharted waters. "Navigating AI Ethics: Building a Responsible and Equitable Future" is more than just a discussion of the problems AI presents—it is a call to action. The future of AI is not predetermined; it will be shaped by the choices we make today. By embracing an ethical approach to AI development, we can ensure that these technologies contribute to a future that is not only intelligent but also just, fair, and aligned with the highest ideals of humanity. This is the future we must strive for: one where AI serves humanity, upholds ethical standards, and helps build a world that is better for all. Welcome to this critical exploration of AI ethics. Together, we can navigate the complex challenges of AI and ensure that its future is both responsible and equitable.

Featuring state-of-the-art research from leading academics in technology and organization studies, this timely Research Handbook provides a comprehensive overview of how AI becomes embedded in decision making in organizations, from the initial considerations when implementing AI to the use of such solutions in strategic decision making.

Build and deploy your AI models successfully by exploring model governance, fairness, bias, and potential pitfalls Purchase of the print or Kindle book includes a free PDF eBook Key Features Learn ethical AI principles, frameworks, and governance Understand the concepts of fairness assessment and bias mitigation Introduce explainable AI and transparency in your machine learning models Book DescriptionResponsible AI in the Enterprise is a comprehensive guide to implementing ethical, transparent, and compliant AI systems in an organization. With a focus on understanding key concepts of machine learning models, this book equips you with techniques and algorithms to tackle complex issues such as bias, fairness, and model governance. Throughout the book, you’ll gain an understanding of FairLearn and InterpretML, along with Google What-If Tool, ML Fairness Gym, IBM AI 360 Fairness tool, and Aequitas. You’ll uncover various aspects of responsible AI, including model interpretability, monitoring and management of model drift, and compliance recommendations. You’ll gain practical insights into using AI governance tools to ensure fairness, bias mitigation, explainability, privacy compliance, and privacy in an enterprise setting. Additionally, you’ll explore interpretability toolkits and fairness measures offered by major cloud AI providers like IBM, Amazon, Google, and Microsoft, while discovering how to use FairLearn for fairness assessment and bias mitigation. You’ll also learn to build explainable models using global and local feature summary, local surrogate model, Shapley values, anchors, and counterfactual explanations. By the end of this book, you’ll be well-equipped with tools and techniques to create transparent and accountable machine learning models.What you will learn Understand explainable AI fundamentals, underlying methods, and techniques Explore model governance, including building explainable, auditable, and interpretable machine learning models Use partial dependence plot, global feature summary, individual condition expectation, and feature interaction Build explainable models with global and local feature summary, and influence functions in practice Design and build explainable machine learning pipelines with transparency Discover Microsoft FairLearn and marketplace for different open-source explainable AI tools and cloud platforms Who this book is for This book is for data scientists, machine learning engineers, AI practitioners, IT professionals, business stakeholders, and AI ethicists who are responsible for implementing AI models in their organizations.

As the interplay of environmental, social, and governance factors becomes increasingly crucial, the global business landscape faces a monumental challenge. Climate change, social inequities, and economic uncertainties loom large, demanding immediate attention. The integration of Environmental Social Governance (ESG) principles and Artificial Intelligence (AI) technologies emerges as a powerful solution to these challenges. However, navigating the complexities of this integration, understanding its implications, and harnessing its full potential is a formidable task. Academic scholars, policymakers, and practitioners are grappling with a critical question: How can we leverage the convergence of ESG and AI to drive sustainable practices and address pressing global issues? The answer lies in comprehending the multifaceted dimensions of this integration, its ethical considerations, and its transformative potential. To gain these insights, a comprehensive resource is needed, one that offers a deep dive into ESG-AI integration, delving into empirical research, practical applications, and ethical concerns.Intersecting Environmental Social Governance and AI for Business Sustainability is a book that answers the call to action for this pressing challenge with an in-depth exploration of the evolving field of ESG and AI integration.

Business Ethics and Corporate Governance: Principles and Practices the intersection of ethical decision-making and effective corporate governance. The core principles of integrity, accountability, transparency, and fairness in business operations, providing insights into ethical frameworks and governance structures essential for sustainable success. It examines case studies, contemporary challenges, and best practices to equip readers with tools for fostering ethical cultures and robust governance. Ideal for students, professionals, and business leaders, it emphasizes the critical role of ethics and governance in building trust and achieving long-term organizational excellence.

Unlocking the Secrets of Trillion Dollar Data Hives Data has become the lifeblood of modern businesses. But what does it really take to build an unstoppable data hive? In this insightful book, readers will go behind the scenes of the world's largest data-driven enterprises like Google, Amazon, and Facebook. They will discover how these companies transformed from startups into trillion-dollar giants by mastering the art of data collection and analytics. Through real-world case studies and interviews with industry leaders, learn: How to evolve your organization into a bustling "data ecosystem' that collaborates to gain valuable insights. • Effective strategies for collecting and storing vast amounts of customer and operational data securely at scale. • Powerful techniques for applying artificial intelligence to amplify human intelligence and supercharge decision-making. • Practical ways to harness data-driven insights across departments to revolutionize products, marketing, and overall business strategy. For any executive seeking to understand the dato-first principles that separate industry disruptors, this book delivers unprecedented access into the trillion-dollar data hives shaping the future of business. Its lessons will help you unlock new frontiers of growth in the digital age.

This book explores the profound impact of artificial intelligence (AI) on geopolitical dynamics and its implications for the global order. As AI continues to advance, it is reshaping traditional power structures, altering economic landscapes, and transforming military strategies. This book delves into key areas of AI's influence, including economic competitiveness, national security, and the evolution of international cooperation and conflict. It analyzes the potential benefits and risks associated with AI deployment, such as enhancing productivity, exacerbating inequality, and introducing new security vulnerabilities. By examining case studies and global trends, this book offers insights into the changing dynamics of international relations driven by AI, highlighting the importance of strategic foresight, ethical considerations, and international collaboration to navigate the challenges and opportunities presented by this transformative technology.