Artificial Intelligence (AI) is a rapidly advancing field that has captured the attention of researchers, businesses, and the public. AI has the potential to revolutionize various industries and transform the way we live, work, and communicate. However, it also poses ethical challenges that must be addressed to ensure its development and deployment align with our values and principles. This book aims to provide an in-depth understanding of AI, its history and evolution, its benefits and challenges, and its ethical implications. Chapter 1 lays the foundation by introducing the concept of AI, its types, and applications, as well as its benefits and challenges. Chapter 2 explores the ethical considerations of AI, including its impact on society, healthcare, education, transportation, customer service, cybersecurity, gaming, business, law, blockchain, search engines, and big data analytics. It also discusses the importance of ethical considerations in the development and deployment of AI. This book is intended for students, researchers, practitioners, policymakers, and anyone interested in gaining a comprehensive understanding of AI and its ethical implications. It is our hope that this book will contribute to a thoughtful and responsible development of AI that reflects our shared values and aspirations.

AI Ethics: A Primer by Timothy Jankowski, delves into the profound implications of artificial intelligence on our societal fabric, scrutinizing both its potential and pitfalls. It navigates through AI's evolutionary journey, its diverse applications, and the critical ethical considerations it beckons—from privacy concerns to the specter of bias, and beyond. This comprehensive exploration is structured methodically, weaving through the technical intricacies of AI technologies, their impact across various sectors, and the resultant ethical dilemmas. It highlights the urgency for a balanced approach that fosters AI's benefits while vigilantly guarding against its adverse impacts. The narrative underscores the imperative for multidisciplinary engagement and proactive ethical frameworks to steer AI's advancement towards enhancing human welfare and societal well-being.

In "AI Ethics: Navigating the Moral Implications of Artificial Intelligence," discover a comprehensive guide to understanding the ethical challenges of AI technology. This practical book explores key principles of AI ethics, including fairness, transparency, and accountability, and offers practical strategies for addressing ethical dilemmas in AI development and deployment. From exploring bias and privacy concerns to examining the societal impact and sector-specific challenges, this guide provides valuable insights and actionable guidance for navigating the complex landscape of AI ethics. Whether you are a developer, policymaker, or simply interested in the ethical implications of AI, this book offers essential knowledge for ensuring responsible and equitable AI practices.

This open access collection of AI ethics case studies is the first book to present real-life case studies combined with commentaries and strategies for overcoming ethical challenges. Case studies are one of the best ways to learn about ethical dilemmas and to achieve insights into various complexities and stakeholder perspectives. Given the omnipresence of AI ethics in academic, policy and media debates, the book will be suitable for a wide range of audiences, from scholars of different disciplines (e.g. AI science, ethics, politics, philosophy, economics) to policy-makers, lobbying NGOs, teachers and the educated public.

This engaging Handbook identifies and critically examines the moral opportunities and challenges typically attributed to artificial intelligence. It provides a comprehensive overview and examination of the most pressing and urgent problems with this technology by drawing on a wide range of analytical methods, traditions, and approaches.

This book presents the reader with a comprehensive and structured understanding of the ethics of Artificial Intelligence (AI). It describes the main ethical questions that arise from the use of AI in different areas, as well as the contribution of various academic disciplines such as legal policy, environmental sciences, and philosophy of technology to the study of AI. AI has become ubiquitous and is significantly changing our lives, in many cases, for the better, but it comes with ethical challenges. These challenges include issues with the possibility and consequences of autonomous AI systems, privacy and data protection, the development of a surveillance society, problems with the design of these technologies and inequalities in access to AI technologies. This book offers specialists an instrument to develop a rigorous understanding of the main debates in emerging ethical questions around AI. The book will be of great relevance to experts in applied and technology ethics and to students pursuing degrees in applied ethics and, more specifically, in AI ethics.

Mariarosaria Taddeo provides a systematic analysis of the ethical challenges that arise from the use of AI for national defence. Her work builds a framework for the identification, evaluation, and resolution of these challenges, with the goal of advancing relevant academic debate and informing the ethical governance of AI in defence.

The rapid advancement of generative artificial intelligence (AI) has brought about significant ethical challenges. As machines become more adept at creating human-like content, concerns about misuse, bias, privacy, and accountability have emerged. Without clear guidelines and regulations, there is a risk of unethical use, such as creating deepfake videos or disseminating misinformation, which could have severe societal consequences. Additionally, questions about intellectual property rights and the ownership of AI-generated creations still need to be solved, further complicating the ethical landscape. The book, Generative Artificial Intelligence and Ethics: Standards, Guidelines, and Best Practices, comprehensively solves these ethical challenges. By providing insights into the historical development and key milestones of Generative AI, the book lays a foundation for understanding its complex ethical implications. It examines existing ethical frameworks and proposes new ones tailored to AI's unique characteristics, helping readers apply traditional ethics to AI development and deployment.

Mr.Chitra Sabapathy Ranganathan, Associate Vice President, Mphasis Corporation, Arizona, USA