We must make judgments all the time when we can't be certain of the risks. Should we have that elective surgery? Trust the advice of our financial adviser? Take that new job we've been offered? How worried should we be about terrorist attacks? In this lively and groundbreaking book, pioneering researcher Dylan Evans introduces a newly discovered kind of intelligence for assessing risks, demonstrating how vital this risk intelligence is in our lives and how we can all raise our RQs in order to make better decisions every day. Evans has spearheaded the study of risk intelligence, devising a simple test to measure a person's RQ which when posted online sparked a storm of interest and was taken by tens of thousands of people. His research has revealed that risk intelligence is quite different from IQ, and that the vast majority of us have quite poor risk intelligence. However, he did find some people who have very high RQs. So what makes the difference? Introducing a wealth of fascinating research findings, Evans identifies a key set of common errors in our thinking that most of us fall victim to and that undermine our risk intelligence, such as "ambiguity aversion," overconfidence in our knowledge, the fallacy of mind reading, and our attraction to worst-case scenarios. We are also regularly led astray by the ways in which information is provided to us. Citing a wide range of real-life examples--from the brilliant risk assessment skills of horse race handicappers to the tragically flawed evaluations of risk that caused the financial crisis--Evans illustrates that sometimes our most trusted advisors, including the experts and analysts at the top of their disciplines, don't always give us the best advice when it comes to risk evaluation. Presenting his revolutionary test that allows readers to evaluate their own RQs, Evans introduces a number of simple techniques we can use to build our risk assessment powers and reports on the striking results he's seen in training people to develop their RQs. Both highly engaging and truly mind-changing, Risk Intelligence will fascinate all of those who are interested in how we can improve our thinking in order to enhance our lives.

Too many executives think risk management is strictly for technical specialists. In Risk Intelligence: Learning to Manage What We Don’t Know, David Apgar challenges this misconception. The author explains how to raise the quality of your risk analysis—-thus enhancing your “risk IQ”—-by applying four simple rules: 1) Recognize which risks are learnable—and reduce their uncertainty by discovering more about them. 2) Identify risks you can learn about the fastest. The higher your learning speed, the more a project is worth pursuing. 3) Take on risky projects one at a time—learning about the risks underlying each before moving to the next. 4) Build networks of business partners, suppliers, and customers who can collectively manage new ventures’ risks by playing distinct roles. The book provides two tools for improving your risk IQ—the Risk Intelligence Audit and the Risk Scorecard—and concludes with a 10-step action plan for systematically raising your managerial and organizational risk IQ. Your reward? Smarter business decisions over time.

This handbook provides a detailed analysis of threats and risk in the international system and of how governments and their intelligence services must adapt and function in order to manage the evolving security environment. This environment, now and for the foreseeable future, is characterised by complexity. The development of disruptive digital technologies; the vulnerability of critical national infrastructure; asymmetric threats such as terrorism; the privatisation of national intelligence capabilities: all have far reaching implications for security and risk management. The leading academics and practitioners who have contributed to this handbook have all done so with the objective of cutting through the complexity, and providing insight on the most pressing security, intelligence, and risk factors today. They explore the changing nature of conflict and crises; interaction of the global with the local; the impact of technological; the proliferation of hostile ideologies and the challenge this poses to traditional models of intelligence; and the impact of all these factors on governance and ethical frameworks. The handbook is an invaluable resource for students and professionals concerned with contemporary security and how national intelligence must adapt to remain effective.

A new book to help senior executives and boards get smart about risk management The ability of businesses to survive and thrive often requires unconventional thinking and calculated risk taking. The key is to make the right decisions—even under the most risky, uncertain, and turbulent conditions. In the new book, Surviving and Thriving in Uncertainty: Creating the Risk Intelligent Enterprise, authors Rick Funston and Steve Wagner suggest that effective risk taking is needed in order to innovate, stay competitive, and drive value creation. Based on their combined decades of experience as practitioners, consultants, and advisors to numerous business professionals throughout the world, Funston and Wagner discuss the adoption of 10 essential and practical skills, which will improve agility, resilience, and realize benefits: Challenging basic business assumptions can help identify "Black Swans" and provide first-mover advantage Defining the corporate risk appetite and risk tolerances can help reduce the risk of ruin. Anticipating potential causes of failure can improve chances of survival and success through improved preparedness. Factoring in velocity and momentum can improve speed of response and recovery. Verifying sources and the reliability of information can improve insights for decision making and thus decision quality. Taking a longer-term perspective can aid in identifying the potential unintended consequences of short-term decisions.

Turn cyber intelligence into meaningful business decisions and reduce losses from cyber events Cyber Intelligence-Driven Risk provides a solution to one of the most pressing issues that executives and risk managers face: How can we weave information security into our business decisions to minimize overall business risk? In today's complex digital landscape, business decisions and cyber event responses have implications for information security that high-level actors may be unable to foresee. What we need is a cybersecurity command center capable of delivering, not just data, but concise, meaningful interpretations that allow us to make informed decisions. Building, buying, or outsourcing a CI-DR™ program is the answer. In his work with executives at leading financial organizations and with the U.S. military, author Richard O. Moore III has tested and proven this next-level approach to Intelligence and Risk. This book is a guide to: Building, buying, or outsourcing a cyber intelligence–driven risk program Understanding the functional capabilities needed to sustain the program Using cyber intelligence to support Enterprise Risk Management Reducing loss from cyber events by building new organizational capacities Supporting mergers and acquisitions with predictive analytics Each function of a well-designed cyber intelligence-driven risk program can support informed business decisions in the era of increased complexity and emergent cyber threats.

Featuring contributions from leading experts and thinkers in the theory of artificial intelligence (AI), this is one of the first books dedicated to examining the risks of AI. The book evaluates predictions of the future of AI, proposes ways to ensure that AI systems will be beneficial to humans, and then critically evaluates such proposals. The book covers the latest AI research, including the risks and future impacts. Ethical issues in AI are covered extensively along with an exploration of autonomous technology and its impact on humanity.

Artificial Intelligence (AI) Design and Solutions for Risk and Security targets readers to understand, learn, define problems, and architect AI projects. Starting from current business architectures and business processes to futuristic architectures. Introduction to data analytics and life cycle includes data discovery, data preparation, data processing steps, model building, and operationalization are explained in detail. The authors examine the AI and ML algorithms in detail, which enables the readers to choose appropriate algorithms during designing solutions. Functional domains and industrial domains are also explained in detail. The takeaways are learning and applying designs and solutions to AI projects with risk and security implementation and knowledge about futuristic AI in five to ten years.