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The best-performing companies have leaders who actively apply moral values to achieve enduring personal and organizational success. Lennick and Kiel extensively identify the moral components at the heart of the recent financial crisis, and illuminate the monetary and human costs of failed moral leadership in global finance, business and government. The authors begin by systematically defining the principles of moral intelligence and the behavioral competencies associated with them. Next, they demonstrate why sustainable optimal performance–on both an individual and organizational level–requires the development and application of superior moral and emotional competencies. Using many new examples and real case studies and new interviews with key business leaders, they identify connections between moral intelligence and higher levels of trust, engagement, retention, and innovation. Readers will find specific guidance on moral leadership in both large organizations and entrepreneurial ventures, as well as a new, practical, step-by-step plan for measuring and strengthening every component of moral intelligence–from integrity and responsibility to compassion and forgiveness. The authors also provide practical ways for readers to develop their own moral and emotional competencies.
This book starts from the proposition that the field of intelligence lacks any systematic ethical review, and then develops a framework based on the notion of harm and the establishment of Just Intelligence Principles. As the professional practice of intelligence collection adapts to the changing environment of the twenty-first century, many academic experts and intelligence professionals have called for a coherent ethical framework that outlines exactly when, by what means and to what ends intelligence is justified. Recent controversies, including reports of abuse at Guantanamo Bay and Abu Ghraib, allegations of extraordinary rendition programmes and the ever-increasing pervasiveness of the ‘surveillance state’, have all raised concerns regarding the role of intelligence in society. As a result, there is increased debate regarding the question of whether or not intelligence collection can be carried out ethically. The Ethics of Intelligence tackles this question by creating an ethical framework specifically designed for intelligence that is capable of outlining under what circumstances, if any, different intelligence collection activities are ethically permissible. The book examines three of the main collection disciplines in the field of intelligence studies: imagery intelligence, signals intelligence and human intelligence. By applying the ethical framework established at the beginning of the book to these three important intelligence collection disciplines, it is possible to better understand the ethical framework while also demonstrating its real-life applicability. This book will be of much interest to students of intelligence studies, ethics, war and conflict studies, security studies and IR.
Ethical intelligence may not get as much attention as other forms of “smarts,” but as Bruce Weinstein shows, it is the most practical, valuable, and even courageous form, determining success on the job, ful?llment in relationships, and sense of self-worth. After reviewing the ?ve basic ethical principles agreed upon by cultures and religious traditions around the world and throughout time, Weinstein shows readers how to develop their ethics IQ by applying these principles in daily life. Real-world examples and interviews — with CEOs, athletes, celebrities, and political leaders — illustrate ethics in action, and their absence. Most strikingly, Weinstein shows that ethical principles aren’t just good; they are good for us, bene?ting our health, happiness, and prosperity. While ethical ignorance grabs headlines, it is ethical intelligence that creates the most ful?lling life.
The author investigates how to produce realistic and workable ethical codes or regulations in this rapidly developing field to address the immediate and realistic longer-term issues facing us. She spells out the key ethical debates concisely, exposing all sides of the arguments, and addresses how codes of ethics or other regulations might feasibly be developed, looking for pitfalls and opportunities, drawing on lessons learned in other fields, and explaining key points of professional ethics. The book provides a useful resource for those aiming to address the ethical challenges of AI research in meaningful and practical ways.
This volume examines the ethical issues that arise as a result of national security intelligence collection and analysis. Powerful new technologies enable the collection, communication and analysis of national security data on an unprecedented scale. Data collection now plays a central role in intelligence practice, yet this development raises a host of ethical and national security problems, such as privacy; autonomy; threats to national security and democracy by foreign states; and accountability for liberal democracies. This volume provides a comprehensive set of in-depth ethical analyses of these problems by combining contributions from both ethics scholars and intelligence practitioners. It provides the reader with a practical understanding of relevant operations, the issues that they raise and analysis of how responses to these issues can be informed by a commitment to liberal democratic values. This combination of perspectives is crucial in providing an informed appreciation of ethical challenges that is also grounded in the realities of the practice of intelligence. This book will be of great interest to all students of intelligence studies, ethics, security studies, foreign policy and international relations. The Open Access version of this book, available at www.taylorfrancis.com, has been made available under a Creative Commons Attribution-Non Commercial-No Derivatives 4.0 license.
An authoritative, up-to-date survey of the state of the art in artificial intelligence, written for non-specialists.
This open access book proposes a novel approach to Artificial Intelligence (AI) ethics. AI offers many advantages: better and faster medical diagnoses, improved business processes and efficiency, and the automation of boring work. But undesirable and ethically problematic consequences are possible too: biases and discrimination, breaches of privacy and security, and societal distortions such as unemployment, economic exploitation and weakened democratic processes. There is even a prospect, ultimately, of super-intelligent machines replacing humans. The key question, then, is: how can we benefit from AI while addressing its ethical problems? This book presents an innovative answer to the question by presenting a different perspective on AI and its ethical consequences. Instead of looking at individual AI techniques, applications or ethical issues, we can understand AI as a system of ecosystems, consisting of numerous interdependent technologies, applications and stakeholders. Developing this idea, the book explores how AI ecosystems can be shaped to foster human flourishing. Drawing on rich empirical insights and detailed conceptual analysis, it suggests practical measures to ensure that AI is used to make the world a better place.
This overview of the ethical issues raised by artificial intelligence moves beyond hype and nightmare scenarios to address concrete questions—offering a compelling, necessary read for our ChatGPT era. Artificial intelligence powers Google’s search engine, enables Facebook to target advertising, and allows Alexa and Siri to do their jobs. AI is also behind self-driving cars, predictive policing, and autonomous weapons that can kill without human intervention. These and other AI applications raise complex ethical issues that are the subject of ongoing debate. This volume in the MIT Press Essential Knowledge series offers an accessible synthesis of these issues. Written by a philosopher of technology, AI Ethics goes beyond the usual hype and nightmare scenarios to address concrete questions. Mark Coeckelbergh describes influential AI narratives, ranging from Frankenstein’s monster to transhumanism and the technological singularity. He surveys relevant philosophical discussions: questions about the fundamental differences between humans and machines and debates over the moral status of AI. He explains the technology of AI, describing different approaches and focusing on machine learning and data science. He offers an overview of important ethical issues, including privacy concerns, responsibility and the delegation of decision making, transparency, and bias as it arises at all stages of data science processes. He also considers the future of work in an AI economy. Finally, he analyzes a range of policy proposals and discusses challenges for policymakers. He argues for ethical practices that embed values in design, translate democratic values into practices and include a vision of the good life and the good society.
This book focuses on the legal regulation, mainly from an international law perspective, of autonomous artificial intelligence systems, of their creations, as well as of the interaction of human and artificial intelligence. It examines critical questions regarding both the ontology of autonomous AI systems and the legal implications: what constitutes an autonomous AI system and what are its unique characteristics? How do they interact with humans? What would be the implications of combined artificial and human intelligence? It also explores potentially the most important questions: what are the implications of these developments for collective security –from both a state-centered and a human perspective, as well as for legal systems? Why is international law better positioned to make such determinations and to create a universal framework for this new type of legal personality? How can the matrix of obligations and rights of this new legal personality be construed and what would be the repercussions for the international community? In order to address these questions, the book discusses cognitive aspects embedded in the framework of law, offering insights based on both de lege lata and de lege ferenda perspectives.
This volume examines the ethical issues generated by recent developments in intelligence collection and offers a comprehensive analysis of the key legal, moral and social questions thereby raised. Intelligence officers, whether gatherers, analysts or some combination thereof, are operating in a sea of social, political, scientific and technological change. This book examines the new challenges faced by the intelligence community as a result of these changes. It looks not only at how governments employ spies as a tool of state and how the ultimate outcomes are judged by their societies, but also at the mind-set of the spy. In so doing, this volume casts a rare light on an often ignored dimension of spying: the essential role of truth and how it is defined in an intelligence context. This book offers some insights into the workings of the intelligence community and aims to provide the first comprehensive and unifying analysis of the relevant moral, legal and social questions, with a view toward developing policy that may influence real-world decision making. The contributors analyse the ethics of spying across a broad canvas – historical, philosophical, moral and cultural – with chapters covering interrogation and torture, intelligence’s relation to war, remote killing, cyber surveillance, responsibility and governance. In the wake of the phenomena of WikiLeaks and the Edward Snowden revelations, the intelligence community has entered an unprecedented period of broad public scrutiny and scepticism, making this volume a timely contribution. This book will be of much interest to students of ethics, intelligence studies, security studies, foreign policy and IR in general.