AI-WARFARE 01: JB-GPT’s AI PROMPT—JUNE 2025 AI in the Ukraine-Russian War

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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 ____.

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

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JUNE 2025: AI in the Ukrainian-Russian War
Subtitle: How technological advancements reshaped asymmetric conflict dynamics in Ukraine

Overview
The 2022 Russian invasion of Ukraine marked the first large-scale conflict where artificial intelligence (AI) technologies were used extensively in real-time combat, command, and influence operations. This prompt examines Ukraine’s innovative integration of AI across military and civilian spheres, including autonomous drones, facial recognition systems, and information warfare platforms. These technologies enabled Ukraine to counterbalance Russia’s conventional superiority by enhancing decision speed, precision, and public communication. As a model of asymmetric resilience, Ukraine’s case provides critical insights into AI’s evolving battlefield utility, the ethics of facial recognition in war, and the broader implications for strategic deterrence and digital sovereignty. This prompt encourages further inquiry into the operational, ethical, and legal contours of AI deployment in active warzones.

Glossary of Terms

1. Autonomous Drone Systems: Unmanned aerial vehicles capable of independent target recognition and engagement using AI algorithms.

2. Clearview AI: A commercial facial recognition software leveraged for identifying combatants and civilians.

3. ISR (Intelligence, Surveillance, Reconnaissance): Military processes enhanced by AI for real-time data gathering and decision support.

4. Asymmetric Warfare: Conflict where one side uses non-traditional strategies to counter a militarily superior adversary.

5. Combat Informatics: Integration of AI and big data analytics into military command and control systems.

6. Cognitive Warfare: Psychological operations augmented by AI to influence public perception and adversary morale.

7. Data Fusion: AI-enabled synthesis of multi-source intelligence to inform rapid operational decisions.

8. Deep Learning: A subset of machine learning used in pattern recognition for targeting, tracking, and surveillance.

9. Swarming Tactics: Coordination of multiple autonomous platforms to overwhelm defences.

10. Digital Sovereignty: A state’s control over digital infrastructure and information flows, critical in AI warfare.

Key Points

1. Combat Innovation through AI-Enabled Drones
   Ukraine’s use of AI-enhanced drones for reconnaissance and strike missions redefined tactical ISR operations. These systems provided real-time battlefield updates, enabling high-precision artillery targeting without traditional air superiority.¹

2. Facial Recognition as a Tactical Tool
   Adopting Clearview AI allowed Ukraine to identify deceased enemy combatants, notify families, and counter Russian disinformation, showcasing AI’s utility in psychological and information operations.¹ ²

3. Rapid ISR-to-Decision Loops
   AI allowed Ukraine to compress the time between ISR collection and battlefield action, enabling near-instantaneous responses to Russian manoeuvres. This adaptation enhanced Ukraine’s defensive and offensive agility.³

4. Information Operations Enhanced by AI
   Ukraine’s use of AI to monitor, amplify, and counter information narratives contributed to maintaining domestic morale and shaping international perceptions—crucial elements of modern hybrid warfare.² ³

5. Democratisation of AI in Warfare
   Ukraine’s integration of commercial AI technologies demonstrated that even non-great powers can access and operationalise advanced systems, challenging traditional power asymmetries in war.⁴

6. Ethical Implications of Battlefield AI
   The use of facial recognition and predictive analytics raises profound ethical questions regarding surveillance, privacy, and the psychological impact on both combatants and civilians.² ⁵

7. utonomy and Human Oversight
   AI-assisted targeting in Ukraine preserved human-in-the-loop oversight, but growing system autonomy foreshadows challenges to accountability in future engagements.⁵

8. Civil–Military Technology Convergence
   Ukraine’s wartime tech mobilisation reflected a fusion of civilian startups and military needs, accelerating AI innovation and deployment cycles.³

9. Strategic Signalling and Deterrence
   AI integration conveyed Ukraine’s technological readiness to domestic and foreign audiences, acting as a deterrent by signalling competence and adaptability.¹

10. Operational Resilience through AI
    AI enhanced Ukraine’s operational resilience by decentralising decision-making and enabling agile, distributed responses to kinetic and cyber threats.⁴ ⁵

Bibliography

1. Hageback, N. & Hedblom, D. (2021). AI for Digital Warfare. Boca Raton: CRC Press.
   Ch. 4: “Weaponising Artificial Intelligence” — Focuses on Ukraine’s use of AI for drone targeting and battlefield surveillance.
   Ch. 5: “Blitzkrieg in the Digital Age” — Discusses AI's role in Ukraine’s information operations and strategic communications.

2. Garcia, D. (2023). The AI Military Race: Common Good Governance in the Age of Artificial Intelligence. Oxford: Oxford University Press.
   Ch. 6: “The New Arms Race” — Analyses the implications of AI proliferation in ongoing regional conflicts like Ukraine.

3. Scharre, P. (2023). Four Battlegrounds: Power in the Age of Artificial Intelligence. New York: W.W. Norton & Company.
   Ch. 26: “JEDI” — Contextualises the role of commercial AI platforms in national security, with applications relevant to the Ukrainian conflict.

4. Wyatt, A. (2023). The Disruptive Impact of Lethal Autonomous Weapons Systems Diffusion. Abingdon: Routledge.
   Ch. 4: “Unmanned Combat Vehicles” — Details how autonomous systems deployed by Ukraine fit broader trends in middle power military adaptation.

5. Johnson, J. (2023). AI and the Bomb: Nuclear Strategy and Risk in the Digital Age. Oxford: Oxford University Press.
   Ch. 5: “Algorithmic Escalation” — Explores challenges in human control and decision-making in AI-supported command structures.