The Ai Military Race

In The AI Military Race, Denise Garcia examines the complexities entailed in creating a global framework to govern the military use of Artificial Intelligence (AI) by proposing inclusive and humane ways to forge cooperation. Three novel humanist conceptions are introduced: common good governance, transnational networked cooperation, and humanity's security. This academic volume is the first to survey the threats to peace in the shifting world order by investigating the current patterns and trends in the global use of, and investment in, militarizing AI and the development of autonomous systems. Garcia weaves in an insider participant-observer focus on the decade-long high-level diplomatic attempts to set limits in autonomy in weapons systems - known as 'killer robots' - and offers a path for the creation of an international treaty on autonomous weapons, and ways to create common good governance for the militarization of AI. This important study draws on earlier successful cooperation and international law-making in several areas including conventional arms, nuclear and chemical weapons bans, the protection of outer space and the ozone, the Arctic, Antarctica, and the oceans. It offers an appraisal of the way that previous successes in global cooperation can inform the formation of common good governance on AI that is respectful of future generations and protective of human dignity and the common good of humanity.

Progress in artificial intelligence (AI), deep learning, and robotics allow new capabilities that will affect military strategies assertively. The implications of these developments will be felt across the array of military criteria from knowledge, surveillance, and identification to balances of offense and defense, as well as to the nuclear weapons programs themselves. In this suite, five top AI experts and their potential applications within autonomous weapons and monitoring systems are the points of discussions about the moral and realistic challenges of handling the worldwide eruption in military AI research and development. The intention: to maintain fast progress in machine learning from triggering a global arms race in the backdrop of AI poses a new existential threat to humanity. As the US, China, and Russia accelerate its use of artificial intelligence in military contexts, Europe fears falling behind unless the continent's policymakers take measures to combine their initiatives. Future concepts, models, algorithms, data sharing, access to elastic computing power, and sophisticated testing and training are suggested to create a data mobility framework.

Progress in artificial intelligence (AI), deep learning, and roboticsallow new capabilities that will affect military strategiesassertively. The implications of these developments will be feltacross the array of military criteria from knowledge, surveillance, and identification to balances of offense and defense, as well asto the nuclear weapons programs themselves. In this suite, fivetop AI experts and their potential applications withinautonomous weapons and monitoring systems are the points ofdiscussions about the moral and realistic challenges of handlingthe worldwide eruption in military AI research and development.The intention: to maintain fast progress in machine learningfrom triggering a global arms race in the backdrop of AI posesa new existential threat to humanity.As the US, China, and Russia accelerate its use of artificialintelligence in military contexts, Europe fears falling behindunless the continent's policymakers take measures to combinetheir initiatives. Future concepts, models, algorithms, datasharing, access to elastic computing power, and sophisticatedtesting and training are suggested to create a data mobilityframework

"The book I had been waiting for. I can't recommend it highly enough." —Bill Gates The era of autonomous weapons has arrived. Today around the globe, at least thirty nations have weapons that can search for and destroy enemy targets all on their own. Paul Scharre, a leading expert in next-generation warfare, describes these and other high tech weapons systems—from Israel’s Harpy drone to the American submarine-hunting robot ship Sea Hunter—and examines the legal and ethical issues surrounding their use. “A smart primer to what’s to come in warfare” (Bruce Schneier), Army of None engages military history, global policy, and cutting-edge science to explore the implications of giving weapons the freedom to make life and death decisions. A former soldier himself, Scharre argues that we must embrace technology where it can make war more precise and humane, but when the choice is life or death, there is no replacement for the human heart.

What Is Autonomous Weapons Lethal autonomous weapons are a type of autonomous military system that can independently search for and engage targets based on programmed constraints and descriptions, and may operate in the air, on land, on water, under water, or in space. How You Will Benefit (I) Insights, and validations about the following topics: Chapter 1: Lethal autonomous weapon Chapter 2: Military robot Chapter 3: PackBot Chapter 4: General Atomics MQ-9 Reaper Chapter 5: Goalkeeper CIWS Chapter 6: General Atomics MQ-1 Predator Chapter 7: Guardium Chapter 8: THeMIS Chapter 9: Artificial intelligence arms race Chapter 10: Existential risk from artificial general intelligence Chapter 11: AI takeover Chapter 12: Gray goo (II) Answering the public top questions about autonomous weapons. (III) Real world examples for the usage of autonomous weapons in many battle fields in the armed forces. (IV) 17 appendices to explain, briefly, 266 emerging technology in each industry to have 360-degree full understanding of autonomous weapons' technologies. Who This Book Is For Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of autonomous weapons.

This book examines the military characteristics and potential of Artificial Intelligence (AI) in the new global revolution in military affairs. Offering an original perspective on the utilization, imagination, and politics of AI in the context of military development and weapons regulation, the work provides a comprehensive response to the question of how we might reflect on the AI revolution in warfare and what can be said about the ways in which this has been handled. In the first part of the book, AI is accommodated, both theoretically and empirically, in the strategic context of the 'Revolution in Military Affairs' (RMA). The book offers a novel understanding of autonomous weapons as multi-layered composite systems, pointing to a complex, non-linear interplay between evolutionary and revolutionary dynamics. In the second section, the book provides an impartial analysis of the related politics and operations of power, whereby increases in military budgets and R&D of the great powers are met and countered by advocacy networks and scientists campaigning for a ban on lethal autonomous weapons. As such, it moves beyond popular caricatures of ‘killer robots’ and points out some of the problems which result from over-reliance on such imagery. This book will be of much interest to students of strategic studies, critical security studies, arms control and disarmament, science and technology studies and general International Relations.

It is unclear if U.S. policy makers and military leaders fully realize that we have already been thrust into an artificial intelligence (AI) race with authoritarian powers. Today, the United States’ peer adversaries—China and Russia—have made clear their intentions to make major investments in AI and insert this technology into their military systems, sensors and weapons. Their goal is to gain an asymmetric advantage over the U.S. military. The implications for our national security are many and complex. Algorithms of Armageddon examines this most pressing security issue in a clear, insightful delivery by two experts. Authors George Galdorisi and Sam J. Tangredi are national security professionals who deal with AI on a day-to-day basis in their work in both the technical and policy arenas. Opening chapters explain the fundamentals of what constitutes big data, machine learning, and artificial intelligence. They investigate the convergence of AI with other technologies and how these systems will interact with humans. Critical to the issue is the manner by which AI is being developed and utilized by Russia and China. The central chapters of the work address the weaponizing of AI through interaction with other technologies, man-machine teaming, and autonomous weapons systems. The authors cover in depth debates surrounding the AI “genie out of the bottle” controversy, AI arms races, and the resulting impact on policy and the laws of war. Given that global powers are leading large-scale development of AI, it is likely that use of this technology will be global in extent. Will AI-enabled military weapons systems lead to full-scale global war? Can such a conflict be avoided? The later chapters of the work explore these questions, point to the possibility of humans failing to control military AI applications, and conclude that the dangers for the United States are real. Neither a protest against AI, nor a speculative work on how AI could replace humans, Algorithms of Armageddon provides a time-critical understanding of why AI is being implemented through state weaponization, the realities for the global power balance, and more importantly, U.S. national security. Galdorisi and Tangredi propose a national dialogue that focuses on the need for U.S. military to have access to the latest AI-enabled technology in order to provide security and prosperity to the American people.

This open access book introduces the reader to the foundations of AI and ethics. It discusses issues of trust, responsibility, liability, privacy and risk. It focuses on the interaction between people and the AI systems and Robotics they use. Designed to be accessible for a broad audience, reading this book does not require prerequisite technical, legal or philosophical expertise. Throughout, the authors use examples to illustrate the issues at hand and conclude the book with a discussion on the application areas of AI and Robotics, in particular autonomous vehicles, automatic weapon systems and biased algorithms. A list of questions and further readings is also included for students willing to explore the topic further.