National Security Intelligence and Ethics

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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.

Tungkol sa may-akda

Seumas Miller holds research positions at Charles Sturt University, Australia, TU Delft, the Netherlands and the University of Oxford, United Kingdom.

Mitt Regan

is McDevitt Professor of Jurisprudence and Co-Director of the Center on National Security and the Law at Georgetown University Law Center, USA. He also serves as a senior fellow at the Stockdale Center for Ethical Leadership at the U.S. Naval Academy.

Patrick F. Walsh

is a former intelligence analyst and Associate Professor of intelligence and security studies at Charles Sturt University, Australia.

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