Trust, but Verify uses trust—with its emotional and predictive aspects—to explore international relations in the second half of the Cold War, beginning with the late 1960s. The détente of the 1970s led to the development of some limited trust between the United States and the Soviet Union, which lessened international tensions and enabled advances in areas such as arms control. However, it also created uncertainty in other areas, especially on the part of smaller states that depended on their alliance leaders for protection. The contributors to this volume look at how the "emotional" side of the conflict affected the dynamics of various Cold War relations: between the superpowers, within the two ideological blocs, and inside individual countries on the margins of the East–West confrontation.

"Bodman's hard-won information and sheer storytelling talent make this a book to remember.” —LEE CHILD, #1 worldwide bestselling author of the Jack Reacher series "Karna Bodman’s Trust But Verify is a riveting page-turner you won’t want to put down!" - CARLA NEGGERS, bestselling author of Imposter's Lure Samantha Reid, the brilliant Director of the White House Office of Homeland Security, is enjoying a rare evening away from Washington at a Florida charity ball when a bomb sends the well-heeled attendees stampeding into the night. Narrowly escaping the blast, Reid returns to the White House, where she has been trailing the massacres and illicit arms sales of a shadowy group of Russian oligarchs... all of whom want her dead. Caught in an ever-tightening spiral of lies and ruthless hitmen, Reid must race the clock against her assassins. But she's not alone. When FBI special agent Brett Keating discovers Samantha was the target of the Florida bomb, he resolves to protect her, while also unravelling a brazen plot that threatens the lives of international financial leaders and stock markets worldwide.

This book looks at trust and distrust in educational settings and argues that nations with higher degrees of trust in their professional educators achieve superior results for all students. Not blind trust, however, which if unchecked by some kind of verification system can prove as unproductive for individuals and organizations as intrusive, coercive and time-consuming verification strategies. Both sides of this equation are important, hence the title Trust and Verify. These behaviors are the real keys to school improvement. This accessible and compelling book provides a unique, research-based look at trust and distrust and their impact on school improvement in seven different nations: Australia, Canada, England, Finland, Lithuania, Sweden, and the United States.

Professor Sheldon uses the modern concept of the intelligence cycle to trace intelligence activities in Rome whether they were done by private citizens, the government, or the military. Examining a broad range of activities the book looks at the many types of espionage tradecraft that have left their traces in the ancient sources: * intelligence and counterintelligence gathering * covert action * clandestine operations * the use of codes and ciphers Dispelling the myth that such activities are a modern invention, Professor Sheldon explores how these ancient spy stories have modern echoes as well. What is the role of an intelligence service in a free republic? When do the security needs of the state outweigh the rights of the citizen? If we cannot trust our own security services, how safe can we be? Although protected by the Praetorian Guard, seventy-five percent of Roman emperors died by assassination or under attack by pretenders to his throne. Who was guarding the guardians? For students of Rome, and modern social studies too - this will provide a fascinating read.

From 2007 to 2010 Swaim worked for Mark Sanford, South Carolina's governor, as a communications officer and speechwriter. Everyone knows this kind of politician: a charismatic maverick who goes up against the system and its ways, but thinks he doesn't have to live by the rules. Swaim tells the story of a band of believers who attach themselves to this sort of ambitious narcissist-- and what happens when it all comes crashing down.

Use artificial intelligence (AI) techniques to build tools for auditing your organization. This is a practical book with implementation recipes that demystify AI, ML, and data science and their roles as applied to auditing. You will learn about data analysis techniques that will help you gain insights into your data and become a better data storyteller. The guidance in this book around applying artificial intelligence in support of audit investigations helps you gain credibility and trust with your internal and external clients. A systematic process to verify your findings is also discussed to ensure the accuracy of your findings. Machine Learning for Auditors provides an emphasis on domain knowledge over complex data science know how that enables you to think like a data scientist. The book helps you achieve the objectives of safeguarding the confidentiality, integrity, and availability of your organizational assets. Data science does not need to be an intimidating concept for audit managers and directors. With the knowledge in this book, you can leverage simple concepts that are beyond mere buzz words to practice innovation in your team. You can build your credibility and trust with your internal and external clients by understanding the data that drives your organization. What You Will Learn Understand the role of auditors as trusted advisors Perform exploratory data analysis to gain a deeper understanding of your organization Build machine learning predictive models that detect fraudulent vendor payments and expenses Integrate data analytics with existing and new technologies Leverage storytelling to communicate and validate your findings effectively Apply practical implementation use cases within your organization Who This Book Is For AI Auditing is for internal auditors who are looking to use data analytics and data science to better understand their organizational data. It is for auditors interested in implementing predictive and prescriptive analytics in support of better decision making and risk-based testing of your organizational processes.

Exploring issues from big-data to robotics, this volume is the first to comprehensively examine the regulatory implications of AI technology.