Dynamic Autonomy Management in Human-AI Command and Control for Autonomous Weapons Systems (Paperback)
Language: English
Published by Independently Published, 2026
- Softcover
- New

Seller: CitiRetail, Stevenage, United KingdomCitiRetail
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Condition: New
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Paperback. The battlefield of the 21st century is increasingly shaped by the relentless march of artificial intelligence. From sophisticated intelligence analysis and logistics optimization to the potential for autonomous weapon systems, AI is poised to fundamentally alter the character of military operations. At the heart of this transformation lies the complex domain of command and control (C2), the intricate web of people, processes, and technologies that enables military forces to achieve their objectives. As AI systems become more capable, the traditional boundaries of human decision-making authority in C2 are being challenged. The ability of AI to process vast datasets, identify patterns invisible to human observers, and react at speeds far exceeding human capacity presents both immense opportunities and significant risks. This book directly confronts the imperative to understand and manage these emerging dynamics, focusing on the critical need for dynamic autonomy management in military C2. We argue that current frameworks for human-AI interaction are insufficient to address the complexities of modern warfare, where the optimal allocation of decision authority between human commanders and intelligent machines must be fluid, context-aware, and empirically validated. This introduction sets the stage by outlining the evolution of military C2, the rise of AI in this domain, and the strategic landscape of autonomous weapons. It will articulate the central problem this book seeks to address: the lack of robust, theoretically sound, and empirically tested methods for dynamically managing the degree of autonomy in military systems, ensuring that human judgment remains central to ethical and effective military action. We will explore the theoretical foundations that inform our understanding of human-AI teaming, delve into the current state of autonomous weapons, and critically examine the concept of Meaningful Human Control. This work is intended for a discerning audience of academic researchers and senior defense analysts, those who possess a deep understanding of AI, military strategy, human-factors engineering, and international security. Our aim is to provide a rigorous, analytical, and policy-relevant exploration of how to navigate the challenges and harness the potential of AI in military command and control responsibly. The advent of artificial intelligence (AI) is not merely an incremental technological evolution; it represents a paradigm shift with far-reaching consequences for virtually every aspect of human endeavor, and perhaps nowhere more acutely than in the realm of military command and control (C2). As AI capabilities mature, their integration into military systems promises unprecedented speed, precision, and analytical power, yet simultaneously introduces profound challenges related to human oversight, ethical considerations, and strategic stability. This book emerges from a perceived critical gap in our understanding and frameworks for managing the dynamic interplay between human judgment and machine autonomy in high-stakes military operations. While substantial research exists on the technical facets of AI and the principles of human factors, a cohesive, empirically grounded approach to dynamically allocating decision authority between humans and AI within military C2 structures remains elusive. This work aims to synthesize existing knowledge, explore theoretical underpinnings, analyze current trends, and propose a path forward for establishing effective and responsible human-AI command and control. We endeavor to bridge the divide between academic research, defense analysis, and practical policy development, providing a resource for those tasked with shaping the future of warfare in an age of intelligent machines. The insights presented here are the product of extensive interdisciplinary collabora Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…
Seller Inventory # 9798255532056
- Title
- Dynamic Autonomy Management in Human-AI Command and Control for Autonomous Weapons Systems (Paperback)
- Author
- Laszlo Pokorny
- Publisher
- Independently Published
- Publication year
- 2026
- Condition
- new
- Binding
- Paperback
- Language
- English
- ISBN 13
- 9798255532056
The advent of artificial intelligence (AI) is not merely an incremental technological evolution; it represents a paradigm shift with far-reaching consequences for virtually every aspect of human endeavor, and perhaps nowhere more acutely than in the realm of military command and control (C2). As AI capabilities mature, their integration into military systems promises unprecedented speed, precision, and analytical power, yet simultaneously introduces profound challenges related to human oversight, ethical considerations, and strategic stability. This book emerges from a perceived critical gap in our understanding and frameworks for managing the dynamic interplay between human judgment and machine autonomy in high-stakes military operations. While substantial research exists on the technical facets of AI and the principles of human factors, a cohesive, empirically grounded approach to dynamically allocating decision authority between humans and AI within military C2 structures remains elusive. This work aims to synthesize existing knowledge, explore theoretical underpinnings, analyze current trends, and propose a path forward for establishing effective and responsible human-AI command and control. We endeavor to bridge the divide between academic research, defense analysis, and practical policy development, providing a resource for those tasked with shaping the future of warfare in an age of intelligent machines. The insights presented here are the product of extensive interdisciplinary collaboration, drawing upon expertise in computer science, political science, engineering, and ethics.
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