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Cover -- The Ethics Of Artificial Intelligence In Defence -- Copyright -- Contents -- Preface -- Acknowledgements -- List Of Most-used Abbreviations -- 1. The Groundwork For An Ethics Of Artificial Intelligence In Defence -- 1. Introduction -- 2. Artificial Intelligence And The Predictability Problem -- 2.1. Human-machine Teaming -- 2.2. Machine Learning -- 2.3. Data Curation -- 2.4. Technical Debt -- 3. The Methodology Of Levels Of Abstraction -- 4. Ethical Problems Of Using Ai For Defence Purposes -- 4.1. Sustainment And Support Uses Of Ai -- 4.2. Adversarial And Non-kinetic Uses Of Ai 4.3. Adversarial And Kinetic Uses Of Ai -- 5. Conclusion -- 2. Ethical Principles For Ai In Defence -- 1. Introduction -- 2. Ethical Principles For The Use Of Ai -- 2.1. Responsible Uses Of Ai -- 2.2. Equitable Uses Of Ai -- 2.3. Traceability -- 2.4. Reliable And Governable -- 3. From Defence Principles To Practice -- 4. Five Ethical Principles For Ai In Defence -- 4.1. Justified And Overridable Uses -- 4.2. Just And Transparent Systems And Processes -- 4.3. Human Moral Responsibility -- 4.4. Meaningful Human Control -- 4.5. Reliable Ai Systems 5. A Three-step Methodology To Extract Guidelines From Ai Ethics Principles In Defence -- 5.1. Independent, Multistakeholder Ethics Board -- 5.2. Abstraction -- 5.3. Interpretation And Requirements Elicitation -- 5.4. Balancing The Principles -- 6. Conclusion -- 3. Sustainment And Support Uses Of Ai In Defence: The Case Of Ai-augmented Intelligence Analysis -- 1. Introduction -- 2. Mapping Augmented Intelligence Analysis In Defence -- 3. Ethical Challenges Of Augmented Intelligence Analysis -- 3.1. Intrusion -- 3.2. Explainability And Accountability -- 3.3. Bias 3.4. Authoritarianism And Political Security -- 4. Conclusion -- 4. Adversarial And Non-kinetic Uses Of Ai: Conceptual And Ethical Challenges -- 1. Introduction -- 2. The Weaponisation Of Ai In Cyberspace -- 2.1. Recommendations -- 3. Ai For Adversarial And Non-kinetic Purposes: The C