Table of Contents
Artificial Intelligence Translates the Language of Animals
Kim Kyung-jin, Attorney at Law
The Story of AI Learning to Listen to Whales, Dolphins, Birds, and Bees
Twelve chapters on how AI listens to dolphins, sperm whales, humpback whales, birds, and bees to find rules in their sounds, and what this technology means for its risks and for animal rights. Written in simple sentences a child can read, with verified sources in every section.
Table of Contents
AI Deciphers Ancient Scripts
Kim Kyung-jin, Attorney at Law
Ancient Records Revived by AI
In twelve chapters, this book explains how AI revives records once unreadable, from burned scrolls and wooden slips buried in mud to broken clay tablets. It covers virtual unrolling at Herculaneum, virtual collation of oracle-bone texts, reading Silla wooden tablets, computational analysis of undeciphered scripts, and multispectral archives, with verified references for each chapter.
Table of Contents
Artificial Intelligence for New Materials Design and Rocket Propulsion Engineering
Kim Kyung-jin, Attorney at Law
AI Potentials, Self-Driving Laboratories, and Physics-Informed Machine Learning (PIML)
Ten chapters on how artificial intelligence is changing new materials and rocket propulsion: atomic simulation, generative models, self-driving labs, high-temperature alloys, metal 3D printing, combustion, cooling design, and engine diagnosis and control. Written without equations, with verified sources in every chapter.
AI Library
The Age of Autonomous Scientific Discovery
Kim Kyung-jin, Attorney at Law
AI Scientists and Self-Driving Labs
This book follows how AI scientists and self-driving labs are changing the way science generates and verifies claims. It covers literature-based discovery, natural-language protocols translated into robot commands, multi-agent research systems, closed-loop laboratories, materials search, the verification gap, chains of evidence, research harnesses, journal ethics, and legal responsibility.
AI Library
A New Era of Life Sciences Opened by Artificial Intelligence
Structural Proteomics, Genomic Foundation Models, Autonomous Laboratories, and Global Governance
Kim Kyung-jin, Attorney at Law
This book is a research volume compiled with artificial intelligence. A human selected the materials and structured the work, while AI models drafted the sentences and cross-checked the facts.
AI Library
The Double Structure of Digital Sovereignty
Europe’s Departure from Palantir and the Chains of American Big Tech
Kim Kyung-jin, Attorney at Law
This is a record of 2026, when European intelligence agencies and defense ministries began removing analytics tools from America’s Palantir. It covers the replacement decisions made by France’s General Directorate for Internal Security (DGSI), Germany’s Federal Office for the Protection of the Constitution (BfV), and the Netherlands Ministry of Defense; the incident in which US export controls severed an ally’s ac…
New English Edition
Artificial Intelligence in Horticulture
Kim Kyung-jin, Attorney at Law
Across five chapters and ten sections, this book examines computer vision for crop diagnosis, harvesting robots and autonomous field systems, smart greenhouses and digital twins, precision irrigation and supply-chain quality control, high-throughput phenotyping, and predictive breeding.
New English Edition
Artificial Intelligence in Food Crop Agriculture
Kim Kyung-jin, Attorney at Law
Across six chapters and eighteen sections, the book examines digital agricultural infrastructure, remote sensing, crop diagnosis, yield forecasting, precision irrigation, genomics, molecular breeding, agricultural robotics, climate-smart agriculture, and global food security.
New English Edition
The Future of Forestry and Agroforestry
Kim Kyung-jin, Attorney at Law
Driven by Artificial Intelligence and Digital Innovation
Across five chapters and fifteen sections, the book follows satellites, drones, LiDAR, digital twins, forest-specific language models, wildfire and pest forecasting, forestry robotics, agroforestry, timber traceability, and forest carbon markets.
New English Edition
Smart Livestock Farming: AI Enters the Barn
Kim Kyung-jin, Attorney at Law
Sensors listen, cameras watch, and artificial intelligence helps farmers decide.
Across five chapters and fifteen sections, the book follows precision livestock farming from animal health and reproduction to robotic milking, virtual fencing, digital twins, methane reduction, welfare, and data ownership.
Table of Contents
Han Dong-hoon, Busan Buk-gu Gap: A Record of the 100 Days Before and After the Election (Mar. 26-Jul. 3, 2026)
Kim Kyung-jin
Table of Contents and 13 sections
From March 26 to July 3, 2026, this record follows the spring after expulsion, the Busan Buk-gu Gap by-election, victory as an independent, and the first bill submitted in the National Assembly.
Table of Contents
Artificial Intelligence and Medicine
Kim Kyung-jin, Attorney at Law
AI in clinical care, hospitals, education, and research
AI in medical imaging, risk prediction, treatment planning, hospital operations, education, and research, with patient safety, privacy, and accountability.
[AI Library] Chapter 40. The Future of Air Combat Written by Humans and AI Together
Chapter 40. The Future of Air Combat Written by Humans and AI Together
The future of air combat between humans and AI When you go above the cloud layer at night, the world is divided into two layers. Above are stars and moonlight, below are clouds like a black sea. Inside the cockpit, the dim glow of the instrument panel fills the air, my hands are on the stick and my feet are on the rudder pedals. This stance has not changed for decades. What has changed is “what I see and believe.” It used to be that my eyes and my radar were all I had on the battlefield. Now, the battlefield organized by artificial intelligence, the targets synthesized by AI, and the risk predictions calculated by AI become my reality.
In August 2020, something historic happened in the finals of DARPA's Alpha Dog Fight Trial. A veteran pilot from the F-16 Weapons School engaged in a simulated dogfight with Heron Systems' artificial intelligence. The result was 5 to 0. It was a complete victory for AI. Many people were shocked. Is the era of Top Gun over? But that day's defeat was not a dirge announcing the end of human pilots. It was a fanfare announcing the opening of a new era. This is an era where humans and machines team up. People ask. Will AI replace pilots? This question is wrong. In air combat, pilots are more than just flight technicians.
The pilot is the last link of responsibility. Who lives and who dies, at what moment you pull the trigger and at what moment you back off. War is a world of consequences, and with consequences comes responsibility. AI makes calculations quickly. However, we are not responsible. When unaccountable calculations dominate the battlefield, it is not a battle but a series of accidents. In July 2025, the U.S. Air Force conducted a historic flight. The Autonomous Cooperation Platform (ACP) flew with a manned fighter jet. Gen.
Ken Wilsbach, commander of Air Combat Command, said: “This test with ACP directly addresses the evolving requirements of modern warfare. We are learning quickly to improve our human-machine team.” An even more groundbreaking test took place in October of the same year. For the first time, American fighter pilots were instructed by AI air combat managers. Starsage, developed by Raft AI, shortens response time and increases accuracy, allowing pilots to make decisions in seconds instead of minutes. In October 2025, Anduril's YFQ-44A successfully made its first flight.
It took off at the touch of a button and performed the entire flight path autonomously. In January 2026, the U.S. Navy flew two BQM-177A unmanned aerial vehicles autonomously using Shield AI's HiveMind software. A virtual F/A-18 served as a squadron leader and instructed unmanned aerial vehicles to perform combat aerial patrol missions. Rear Admiral Rossi said: “Integrating AI-based autonomy into manned and unmanned platforms will be key to developing next-generation air fleet concepts.”
What AI really does in the cockpit isn't fancy conversation. Prioritize in situations where there are many targets. When sensors are telling different stories, it indicates which one is more trustworthy. In the electronic warfare environment, we find patterns that say, “This radar is trying to lure me, not catch me.” Humans are weak at this kind of work. We become weaker when we are tired, stressed, and subject to gravitational acceleration. AI is strong there. Tirelessness is a superpower on the battlefield. There is a system called VIPR developed by the Johns Hopkins Applied Physics Laboratory.
It is an abbreviation for Virtual Intelligent Peer-Reasoning Agent. Just think of R2-D2 from Star Wars. A droid that assists the pilot. VIPR serves three roles for the pilot: A situationally aware colleague, a high-performing wingman, and a cognitive support assistant. Computer scientist John Winder explained it this way: “VIPR looks outward to track and anticipate enemy threats. At the same time, it must look inward to understand the human pilot’s intentions, goals, and behavior second by second. When a pilot misses something in combat, VIPR notifies them in time to help them survive.” However, AI's strengths can also become risks.
Tireless calculations sometimes lead to overconfidence. If the answers provided by AI are too smooth, humans stop thinking for themselves. The moment you stop thinking on the battlefield, death is reserved for you. So, the core of air combat between humans and AI is trust design. Trust is not a feeling. It's a structure. Why did AI make that decision, what data was it based on, how reliable is it, and what are the alternatives? Pilots should know this at a glance. Otherwise, AI becomes just another noise in the cockpit. During combat, people don't read long descriptions.
A few switches, a few beeps, and a few colors can determine life or death. That’s why AI interfaces need to be simple. “Recommended Maneuver: Sharp right turn, Reason: SA- 20 estimate, Confidence 0.78, Alternative: Descent and cover terrain.” This is the limit. The human brain doesn't read papers in combat. This is why explainable AI (XAI) matters. The AI should say, “Enemy missile is approaching from 3 o’clock, take evasive maneuver.” The rationale should be, “This target has a 95% chance of being an enemy command center.” That way I can hit the accept button. The squadron of the future will look different from today.
The method of fighting with one human being flying one fighter plane is disappearing. A single human becomes the commander of a squadron with multiple drones. The U.S. Air Force's Cooperative Fighter (CCA) program illustrates this. In 2024, the U.S. Air Force awarded development contracts to five companies. Anduril, Boeing, General Atomics, Lockheed Martin, Northrop Grumman. Among these, Enduril and General Atomics were selected to produce testing machines for stage 1 production. The goal is to secure 1,000 CCAs. The calculation is to attach two unmanned wingmen to each of approximately 500 manned fighters. The U.S.
Air Force plans to spend more than $8.9 billion on the program from 2025 to 2029.
The drone scouts from the front, disrupts from the side, and replenishes armament from behind. The human role becomes decision-making, not maneuvering. Set tactical objectives, assign mission intent to the drone, and control the rules of engagement. AI can take the reins on behalf of humans, but more importantly, it will coordinate the actions of swarms of drones. For drones that move like a swarm of bees to fight properly, the swarm must trust each other, share each other's information, and correct each other's mistakes. It is impossible for humans to do this in real time. The AI becomes the squadron's nervous system.
The problem is that the enemies also use AI. The air battle between humans and AI ultimately becomes a battle of algorithm versus algorithm. Deception also becomes more sophisticated. Fake targets, fake propagation, fake link tracks. The enemy sprays data poison that feeds on the AI. Pilots of the future will have to be more skeptical than before. Don't just believe what you see on the screen. It is also dangerous to immediately follow what AI recommends. Paradoxically, pilots in the AI era must train more classic senses. Basic maneuvering, basic situational awareness, basic communications.
When Link dies and the AI becomes confused, what survives is ultimately humans' aviation skills and tactical instincts. As technology advances, fundamentals become more brutally important. How much control will we hand over to AI? There is a concept of meaningful human control. It is a mechanism that seeks to ensure ethical and safe use of autonomous systems. But research shows that there are significant barriers to achieving this in highly autonomous AI systems. Time constraints are the first. In hypersonic combat, AI makes decisions too quickly for humans to intervene.
By the time the human pilot assesses the situation, the battle may already be over. There are also cognitive limitations. Humans can't track and assess dozens of threats simultaneously, but AI can. It would be naive to think that the problem can be solved by pressing the “Human Approve” button. The battlefield is fast, and the accept button becomes a bottle neck. If a human has to press it every time, the drone will slow down. Slow drones are good targets. Conversely, if you leave it to AI, the problem of liability for misrecognition and misfire remains. The future is likely to be phased. Defensive autonomy expands first.
Avoidance maneuvers, threat avoidance, jamming countermeasures, and formation realignment. Aggressive autonomy is more tightly bound by rules and restrictions. This is a form in which AI takes over the fighting body and humans take over the will to fight. The trust between pilots and AI must be redefined. Human pilots must develop appropriately calibrated trust in autonomous systems. Do not over-rely on the system's capabilities and underestimate its potential, and do not use it fully. Mark Brinkley, Director of General Atomics, said: “Pilots need to be able to train like they fight. Simulation
Through training and training, we need to develop a mental model of how autonomous teams work to increase interoperability and effectiveness.” Dogfighting between humans and AI is not simply about increasing power. Speed up the war. There is something called an OODA loop. Observation, judgment, decision, action. In battle, the one who rotates this cycle faster than the enemy wins. AI reduces the time to observe and judge to almost zero. Humans focus on making decisions and taking action. Before the enemy even realizes the situation, we will already have our sights set on their neck.
Winning or losing is not determined by a single genius maneuver, but by a continuously updated system. Who learns faster, who adjusts tactics faster, and who blocks vulnerabilities faster. War is increasingly becoming like software. In a software war, the winner is always the same. One that updates quickly, one that is resilient, and one that is designed so that humans can make good decisions at the last moment. In the cockpit I still hold the stick. But there is an invisible pilot sitting next to me. The pilot has no fatigue, no fear, no pride. Instead, there are errors, deception, and overconfidence.
The aerial battle between humans and AI is an era in which we must fly together with our imperfect companions. The skies of the future will be smarter, but they will also likely be crueler. Who will be the ruler of heaven? The answer is clear. Neither AI nor human. We are humans who are perfectly integrated with AI. You don't have to be afraid of technology. However, we must be wary of losing control of the technology. In the hands of a cook, a knife makes a great meal, but in the hands of a robber, it becomes a weapon. AI also depends on how we use it and how we control it. This is also the path that Korea must take.
Beyond simply developing AI technology, we need to train wise warriors to operate that technology. Only when technology and people, ethics and efficiency are in harmony, will we be able to achieve truly independent national defense and peace. The Top Gun of the future will no longer be a lone wolf. He will become a battlefield commander connected to numerous AI wingmen and digital neural networks. And the sky still belongs to the courageous.
Kim Kyung-jin
Attorney · Former Member of the National Assembly · AI Policy Researcher
© 2026 Kim Kyung-jin. All rights reserved.