1st Edition
Responsible Use of AI in Military Systems
Preface
Acknowledgements
Editor
Contributors
1 Introduction to Responsible Use of AI in Military Systems
Jan Maarten Schraagen
SECTION I Implementing Military AI Responsibly: Models and Approaches
2 A Socio‑Technical Feedback Loop for Responsible Military AI Life‑Cycles from Governance to Operation
Marlijn Heijnen, Tjeerd Schoonderwoerd, Mark Neerincx, Jasper van der Waa, Leon Kester, Jurriaan van Diggelen, and Pieter Elands
3 How Can Responsible AI Be Implemented?
Wolfgang Koch and Florian Keisinger
4 A Qualitative Risk Evaluation Model for AI‑Enabled Military Systems
Ravi Panwar
5 Applying Responsible AI Principles into Military AI Products and Services: A Practical Approach
Michael Street and Sandro Bjelogrlic
6 Unreliable AIs for the Military
Guillaume Gadek
SECTION II Liability and Accountability of Individuals and States
7 Methods to Mitigate Risks Associated with the Use of AI in the Military Domain
Shannon Cooper, Damian Copeland, and Lauren Sanders
8 ‘Killer Pays’: State Liability for the Use of Autonomous Weapons Systems in the Battlespace
Diego Mauri
9 Military AI and Accountability of Individuals and States for War Crimes in the Ukraine
Dan Saxon
10 Scapegoats!: Assessing the Liability of Programmers and Designers for Autonomous Weapons Systems
Afonso Seixas Nunes, SJ
SECTION III Human Control in Human–AI Military Teams
11 Rethinking ‘Meaningful Human Control’
Linda Eggert
12 AlphaGo’s Move 37 and Its Implications for AI‑Supported Military Decision‑Making
Thomas W. Simpson
13 Bad, Mad, and Cooked: Moral Responsibility for Civilian Harms in Human–AI Military Teams
S. Kate Devitt
14 Neglect Tolerance as a Measure for Responsible Human Delegation
Christopher A. Miller and Richard G. Freedman
SECTION IV Policy Aspects
15 Strategic Interactions: The Economic Complements of AI and the Political Context of War
Jon R. Lindsay
16 Promoting Responsible State Behavior on the Use of AI in the Military Domain: Lessons Learned from Multilateral Security Negotiations on Digital Technologies
Kerstin Vignard
SECTION V Bounded Autonomy
17 Bounded Autonomy
Jan Maarten Schraagen
Index
Biography
Jan Maarten Schraagen is Principal Scientist at TNO, The Netherlands. His research interests include human-autonomy teaming and responsible AI. He is main editor of Cognitive Task Analysis (2000) and Naturalistic Decision Making and Macrocognition (2008) and co-editor of the Oxford Handbook of Expertise (2020). He is editor in chief of the Journal of Cognitive Engineering and Decision Making. Dr. Schraagen holds a PhD in Cognitive Psychology from the University of Amsterdam, The Netherlands.






