About this book:

This book explores the intersection of moral philosophy, international humanitarian law (IHL), and the rapid integration of artificial intelligence into modern warfare. It establishes that while AI changes the speed and character of combat, the bedrock legal principles of distinction, proportionality, and military necessity remain the essential standards for lawful operations. The text argues that AI should be viewed as a socio-technical system rather than a standalone tool, necessitating "meaningful human control" and a "duty of care by design" throughout the entire lifecycle of a weapon system—from data curation and algorithmic development to real-time deployment and post-incident review.

Central to the book’s analysis is the challenge of accountability in an era of distributed autonomy. It examines how "black box" algorithms and learning systems complicate traditional legal doctrines such as command responsibility and state attribution. To bridge these gaps, the author emphasizes the technical and legal necessity of explainability, auditability, and rigorous verification and validation (V&V). By ensuring that AI decision-making is transparent and that robust digital audit trails exist, states can satisfy evidentiary standards and uphold individual criminal liability for war crimes, even when automated systems are involved in the kill chain.

Beyond tactical concerns, the book addresses the strategic and systemic risks posed by algorithmic warfare, including "flash escalation" and the erosion of strategic stability. It highlights how the speed of AI can compress decision-making windows, potentially leading to unintended conflicts. The text concludes by advocating for a proactive international governance framework that combines export controls, updated Article 36 weapons reviews, and norm convergence among coalitions. Ultimately, the work calls for a commitment to human primacy, suggesting that the preservation of public conscience and human dignity must guide the evolution of international law as it adapts to the age of autonomous conflict.

What You'll Find Inside:

• Applies just war theory and international humanitarian law principles to AI-enabled warfare, examining how distinction, proportionality, and necessity constrain autonomous systems.
• Explores meaningful human control as a design and governance requirement, detailing operationalization across levels of autonomy and decision-making cycles.
• Analyzes Article 36 weapons reviews for learning systems, emphasizing continuous compliance, explainability, and ethical guardrails for evolving AI.
• Addresses attribution, state responsibility, and command responsibility in distributed autonomy, highlighting due diligence, auditability, and accountability gaps.
• Covers cross-cutting issues such as data bias and dataset governance, verification and assurance, escalation risks, cyber-physical operations, and coalition norm convergence.

Who's It For:

This book is intended for military lawyers, policy advisors, defense ethicists, and senior military officers who must translate legal and ethical norms into AI system design, rules of engagement, and operational oversight. It will also benefit AI engineers, data scientists, and acquisition professionals working on military AI projects, as well as scholars and students of international law, ethics, and security studies seeking a comprehensive guide to the normative challenges of autonomous conflict.