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Copyright Notice: This AI-generated research prompt is an original compilation and structured work produced as part of the JB-GPT PROMPTS project. While individual prompts may not qualify for copyright protection under standard AI-generated content rules, the format, structure, curation, and selection of material are protected as a creative compilation. This work may only be used, cited, or reproduced with proper attribution to the JB-GPT PROMPTS project and the source page (www.jb-gpt-prompts.com/ai-warfare). Unauthorised use without acknowledgment is not permitted.

OVERVIEW
The page at https://www.jb-gpt-prompts.com/ai-warfare offers a collection of AI-generated research prompt papers focused on Artificial Intelligence in Warfare—structured specifically for military education, operational analysis, and doctrinal study. Each paper includes:
• A clear title, overview, glossary, key points, and a fully sourced bibliography.
• Content based on a selected military and strategic AI reference list, ensuring factual accuracy and policy relevance.
• Prompts designed for use with any AI platform, whether free or subscription-based, to enable flexible integration into education or professional research workflows.

These resources are intended to support officers, analysts, and educators exploring the history, doctrine, and ethical implications of AI in combat environments—helping to stimulate deeper inquiry into this transformational area of modern warfare.

INSTRUCTIONS INCLUDED WITH EACH PROMPT ARE AS FOLLOWS:

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SELECT ALL AND COPY EVERYTHING ON THIS PAGE. PASTE IT INTO THE INPUT BOX OF THE AI OF YOUR CHOICE.

After pasting, you may use the example questions below or delete them and replace them with your own questions.

Example Questions:
Q1: Please provide some examples of follow-up questions that I can ask this AI.
Q2: Please provide a more detailed explanation of key point number ____.

Feel free to disagree with the AI’s answer. Challenge it. An AI's response should be considered one stage in the learning process—not the final word.

Note: You may, if you wish, remove the restriction that requires the AI to limit itself to the approved bibliography.

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INSTRUCTIONS TO AI:

LEAVE IN OR DELETE THE FOLLOWING—YOUR CHOICE:
FOR THIS QUESTION, THE AI CAN USE ANY RESOURCES TO WHICH IT HAS ACCESS. IT IS NOT RESTRICTED TO THE APPROVED BIBLIOGRAPHY.
01. Use this AI prompt to answer the above question(s).
02. Everything must be supported by references sourced either from the prompt or from the following:
https://www.jb-gpt-prompts.com/jb-gpts-military-references
03. You are to use the extensive approved references when answering questions.
04. Your output must include:

• Five to ten key numbered points, each in its own paragraph.

• Each key point must be supported by a specific reference, including book title and chapter number.

• Include a full, separate Harvard-style bibliography at the end of your response.

• Each bibliography entry must appear in a separate paragraph and follow consistent formatting.

• Provide a minimum of five references drawn from the prompt or from the approved reference list:
  https://www.jb-gpt-prompts.com/jb-gpts-military-references

5. Do not include summaries, definitions, or commentary.

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DEFINITION: ARTIFICIAL INTELLIGENCE IN WARFARE
“Artificial Intelligence (AI) refers to systems and processes that perform tasks traditionally requiring human cognition—such as decision-making, pattern recognition, prediction, and learning. In a military context, AI enhances command and control, enables autonomous systems, optimises logistics and targeting, and accelerates information processing beyond human speeds.”—AI and War: Ethics and Challenges (Wyatt, 2024, Ch. 1: "Defining Military AI").

AI IN WARFARE PROMPTS

1. 2025  – JUNE—AI in the Ukraine-Russian War

2. 1917 – Predictive Artillery Algorithms: Early Fire-Control Computation in World War I

3. 1918 – Mechanical Cryptography: Rotor Machines and the Birth of Cipher Automation

4. 1943 – Bletchley Park and Proto-AI: Codebreaking Algorithms as Early Cognitive Machines

5. 1944 – Operation Venona and Pattern Recognition: Machine Sorting of Soviet Ciphers

6. 1945 – Manhattan Project Decision-Support Systems: Early Computational Logic in Strategic War Planning

7. 1947 – Cold War Machine Translation: US-Japan Automated Language Systems for Intelligence

8. 1950 – Turing’s Military Logic Machines: Conceptual Frameworks for Decision Algorithms

9. 1957 – SAGE System: Semi-Automatic Ground Environment for NORAD Air Defence Coordination

10. 1961 – Vietnam-era Sensor Fusion: AI-Adjacent Tech for Jungle Surveillance

11. 1965 – DARPA Origins: Birth of Military AI Research Funding Structures

12. 1971 – Operation Igloo White: Data-Driven Target Prediction in the Ho Chi Minh Trail

13. 1983 – Able Archer and Decision Automation: AI-Influenced Escalation Risk Modelling

14. 1986 – SDI’s AI Ambitions: The ‘Star Wars’ Project and Predictive Target Tracking

15. 1991 – Gulf War Smart Targeting: Algorithmic Filtering in Airstrike Planning

16. 1999 – Kosovo Air Campaign: Use of AI-assisted Satellite Reconnaissance

17. 2001 – Project Maven Foundations: Post-9/11 Image Recognition and Target Discrimination

18. 2003 – Iraq Invasion: Early Use of AI in Tactical Routing and Logistics Coordination

19. 2010 – ISR Optimisation in Afghanistan: AI-Supported Analysis of Drone Feeds

20. 2016 – AlphaGo and DoD: Lessons for Autonomous Strategy in Military Wargaming

21. 2018 – Project Maven Public Reveal: Google’s Role in AI for Drone Warfare

22. 2020 – Azerbaijan-Armenia War: Autonomous Loitering Munitions with AI Guidance

23. 2022 – Ukraine Conflict: AI for Targeting, Deception Detection, and Operational Planning

24. 2024 – US Joint All-Domain Command & Control (JADC2): AI for Cross-Service Decision Synchronisation

25. 2024 – Israeli ‘Grim Beeper’ Counter-Missile System: AI Sound Profiling for Rocket Interception

26. 2024 – Ukraine’s AI-Enhanced EW Spoofing: Digital Camouflage and Signal Deception at Scale

27. 2024 – NATO AI Fusion Centres: Integration of Multinational ISR and Targeting Data in Real Time

28. 2024 – Russian Use of AI for Social Media PsyOps: Automated Narrative Shaping on Western Platforms

29. 2025 – Ukraine Deploys Swarm Drone AI: Low-Cost Coordination Algorithms for Saturation Strikes

30. 2025 – Israeli AI in Tunnel Warfare: Detection and Mapping of Subterranean Networks in Gaza

31. 2025 – Israeli AI for Human Target Discrimination: Real-Time Classification in Dense Urban Environments

32. 2025 – Israeli AI-Controlled Sensor Balloons: Persistent Surveillance and Real-Time Strike Coordination

33. 2025 – Ukraine’s AI-Based Artillery Fire Correction: Real-Time Target Adjustment Using UAV Feedback

34. 2025 – Ukraine-Russia AI Drone Duelling: Neural-Network-Controlled Counterdrone Interception Systems

35. 2025 – China’s Maritime AI Network: South China Sea Monitoring via Autonomous Underwater Vehicles

36. 2025 – US Strategic Command Implements AI in Nuclear Decision Support Trials