The authors develop methods for assessing the impact of deploying artificial intelligence (AI) systems to support intelligence missions.

This handbook provides a comprehensive, problem-driven and dynamic overview of the future of warfare. The volatilities and uncertainties of the global security environment raise timely and important questions about the future of humanity’s oldest occupation: war. This volume addresses these questions through a collection of cutting-edge contributions by leading scholars in the field. Its overall focus is prognostic rather than futuristic, highlighting discernible trends, key developments and themes without downplaying the lessons from the past. By making the past meet the present in order to envision the future, the handbook offers a diversified outlook on the future of warfare, which will be indispensable for researchers, students and military practitioners alike. The volume is divided into six thematic sections. Section I draws out general trends in the phenomenon of war and sketches the most significant developments, from the past to the present and into the future. Section II looks at the areas and domains which actively shape the future of warfare. Section III engages with the main theories and conceptions of warfare, capturing those attributes of contemporary conflicts which will most likely persist and determine the dynamics and directions of their transformations. The fourth section addresses differentiation and complexity in the domain of warfare, pointing to those factors which will exert a strong impact on the structure and properties of that domain. Section V focuses on technology as the principal trigger of changes and alterations in the essence of warfare. The final section draws on the general trends identified in Section I and sheds light on how those trends have manifested in specific local contexts. This section zooms in on particular geographies which are seen and anticipated as hotbeds where future warfare will most likely assume its shape and reveal its true colours. This book will be of great interest to students of strategic studies, defence studies, war and technology, and International Relations.

Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. - Highlights different data techniques in healthcare data analysis, including machine learning and data mining - Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks - Includes applications and case studies across all areas of AI in healthcare data

Machine learning algorithms and artificial intelligence influence many aspects of life today. This report identifies some of their shortcomings and associated policy risks and examines some approaches for combating these problems.

This paper discusses the impact of the rapid adoption of artificial intelligence (AI) and machine learning (ML) in the financial sector. It highlights the benefits these technologies bring in terms of financial deepening and efficiency, while raising concerns about its potential in widening the digital divide between advanced and developing economies. The paper advances the discussion on the impact of this technology by distilling and categorizing the unique risks that it could pose to the integrity and stability of the financial system, policy challenges, and potential regulatory approaches. The evolving nature of this technology and its application in finance means that the full extent of its strengths and weaknesses is yet to be fully understood. Given the risk of unexpected pitfalls, countries will need to strengthen prudential oversight.

In "The Evolution of Artificial Intelligence," the fascinating story of the development of one of the most revolutionary technologies of our time is told. From the earliest rudimentary algorithms to today's complex neural networks, this book offers a detailed view of how artificial intelligence has evolved and transformed our lives. Through historical anecdotes, interviews with field pioneers, and in-depth analysis, the reader will discover the challenges and triumphs that have marked the path of AI. More than just a technological chronicle, this book explores the ethical, social, and economic implications of AI and how these intelligent machines are redefining the very concept of what it means to be human. With an accessible yet rigorous approach, "The Evolution of Artificial Intelligence" is a must-read for anyone interested in understanding the present and future of this fascinating technology.