Ethics In Artificial Intelligence Bias Fairness And Beyond

This book is a collection of chapters in the newly developing area of ethics in artificial intelligence. The book comprises chapters written by leading experts in this area which makes it a one of its kind collections. Some key features of the book are its unique combination of chapters on both theoretical and practical aspects of integrating ethics into artificial intelligence. The book touches upon all the important concepts in this area including bias, discrimination, fairness, and interpretability. Integral components can be broadly divided into two segments – the first segment includes empirical identification of biases, discrimination, and the ethical concerns thereof in impact assessment, advertising and personalization, computational social science, and information retrieval. The second segment includes operationalizing the notions of fairness, identifying the importance of fairness in allocation, clustering and time series problems, and applications of fairness in software testing/debugging and in multi stakeholder platforms. This segment ends with a chapter on interpretability of machine learning models which is another very important and emerging topic in this area.

This interdisciplinary and international handbook captures and shapes much needed reflection on normative frameworks for the production, application, and use of artificial intelligence in all spheres of individual, commercial, social, and public life.

This open access book tackles the pressing problem of integrating concerns related to Artificial Intelligence (AI) ethics into higher education curriculums aimed at future AI developers in Africa and beyond. For doing so, it analyzes the present and future states of AI ethics education in local computer science and engineering programs. The authors share relevant best practices and use cases for teaching, develop answers to ongoing organizational challenges, and reflect on the practical implications of different theoretical approaches to AI ethics. The book is of great interest to faculty members, researchers, and students in the fields of artificial intelligence, computer science, mathematics, computer engineering, and related areas, as well as higher education administration.

This book explores the ethical concerns surrounding the development and deployment of artificial intelligence (AI) in modern society. It provides an in-depth analysis of the potential benefits and risks associated with AI, highlighting the importance of balancing these factors to ensure that AI is used ethically and responsibly. The book covers a wide range of topics related to AI ethics, including the definition of AI, ethical concerns surrounding AI, the importance of balancing benefits and risks, and potential unintended consequences or catastrophic outcomes. It also delves into specific ethical issues such as bias and discrimination in AI decision-making, privacy and security concerns, fairness and equity, and the regulation and governance of AI development and deployment. The book provides valuable insights into approaches to managing ethical concerns in AI, with case studies of successful implementation of ethical AI practices. It also outlines challenges and opportunities for balancing benefits and risks and discusses future directions for research and development in ethical AI. This book is an essential resource for policymakers, businesses, and individuals concerned about the ethical implications of AI. It provides a comprehensive overview of the current state of AI ethics and offers practical guidance for ensuring that AI is used ethically and responsibly.

In "Beyond the Code: Ethical Dilemmas in the AI Era," we embark on a thought-provoking journey through the intricate and often controversial world of artificial intelligence (AI) and its ethical implications. This book is a timely exploration into how AI, a field that has revolutionized our world, poses complex moral and ethical questions that challenge our traditional understanding of autonomy, privacy, and fairness. As we step into an era where AI influences almost every aspect of our lives, from healthcare decisions to social interactions, the need for a comprehensive ethical framework has never been more critical. This book delves deep into the heart of these dilemmas, examining the fine balance between technological advancement and ethical responsibility. Chapter by chapter, we unravel the multifaceted layers of AI ethics, beginning with a historical overview of AI development and its rapid evolution. We then transition into the core ethical issues - privacy concerns, bias and discrimination in AI algorithms, the implications of autonomous systems, and the looming fear of job displacement due to AI automation. Each topic is meticulously explored, providing readers with a nuanced understanding of the ethical challenges we face. Further, "Beyond the Code" does not shy away from the complex interplay between AI and global socioeconomic structures. It probes into how AI-driven decisions can perpetuate existing inequalities and explores the global disparity in AI development and its implications for international relations. What sets this book apart is its multidisciplinary approach. Weaving in perspectives from leading AI researchers, ethicists, sociologists, and policymakers, the book offers a holistic view of the ethical landscape of AI. Through case studies and real-world examples, it illustrates the tangible impact of these ethical issues on individuals and societies. As we navigate the uncharted territories of AI, "Beyond the Code" serves as both a guide and a catalyst for critical thinking. It invites readers to question and reflect upon the ethical boundaries of AI, encouraging a proactive approach to shaping a future where technology and ethics coexist harmoniously. Happy Reading! Dr. Hesham Mohamed Elsherif

As artificial intelligence (AI) becomes more and more woven into our everyday lives—and underpins so much of the infrastructure we rely on—the ethical, security, and privacy implications require a critical approach that draws not simply on the programming and algorithmic foundations of the technology. Bringing together legal studies, philosophy, cybersecurity, and academic literature, Beyond the Algorithm examines these complex issues with a comprehensive, easy-to-understand analysis and overview. The book explores the ethical challenges that professionals—and, increasingly, users—are encountering as AI becomes not just a promise of the future, but a powerful tool of the present. An overview of the history and development of AI, from the earliest pioneers in machine learning to current applications and how it might shape the future Introduction to AI models and implementations, as well as examples of emerging AI trends Examination of vulnerabilities, including insight into potential real-world threats, and best practices for ensuring a safe AI deployment Discussion of how to balance accountability, privacy, and ethics with regulatory and legislative concerns with advancing AI technology A critical perspective on regulatory obligations, and repercussions, of AI with copyright protection, patent rights, and other intellectual property dilemmas An academic resource and guide for the evolving technical and intellectual challenges of AI Leading figures in the field bring to life the ethical issues associated with AI through in-depth analysis and case studies in this comprehensive examination.

Embark on a thought-provoking journey into the world of artificial intelligence with "Coexistence Beyond Code: The Ethical Matrix of AI and the Human Odyssey." This groundbreaking audiobook explores the profound impact of AI on various industries, delving into the ethical dilemmas and challenges that arise as technology intertwines with human life. From the transformative potential of AI in healthcare and decision-making to the risks of AI surveillance and the path to superintelligence, this audiobook offers a comprehensive exploration of the AI landscape. Discover the importance of responsible AI development, the need for ethical frameworks, and the societal implications of this revolutionary technology. With insights from renowned experts and real-world examples, "Coexistence Beyond Code" is an essential guide for anyone seeking to navigate the complex terrain of AI ethics and understand the future of human-AI coexistence. Immerse yourself in this captivating audiobook and gain a deeper understanding of the ethical considerations that will shape the course of AI development and its impact on the human odyssey.

Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. Highlights different data techniques in healthcare data analysis, including machine learning and data mining Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks Includes applications and case studies across all areas of AI in healthcare data