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 16. Manned-Unmanned Teaming (MUM-T): Human Leaders and AI Partners
Chapter 16. Manned-Unmanned Teaming (MUM-T): Human Leaders and AI Partners
Manned and Unmanned Complex System (MUM-T): Experienced hundreds of sorties from the cockpit of the F-16 Viper with human leader and AI partner. On Wild Weasel missions charging at enemy SAM sites, my radar warning receiver was always beeping like crazy. As the smoke from the infrared missile passed by the canopy, the 9G force of gravity on my body crushed my lungs and narrowed my vision. At that moment I was completely alone. Even if I had a wingman, he was too busy protecting his own life, and in the end, all decisions were in my hands and eyes. But now the war in the sky is taking on a completely different look.
This concept, called MUM-T (Manned-Unmanned Teaming) in the military, is not simply about attaching a drone next to a manned aircraft. This is a revolution that will change the nature of combat. A single manned fighter teams up with multiple AI drones to surround and pressure the enemy like a pack of wolves chasing down their prey. Human pilots are no longer gladiators who fight alone. He becomes a commander in the sky. He is the one who plans tactics, gives orders, and judges whether or not to pull the trigger at critical moments. When the U.S. Army first began developing this concept, many were skeptical.
“How can a robot follow a fighter pilot?” But they were missing the point. The point of MUM-T is not for robots to fight like humans. The idea is to have robots take over jobs that humans don't want to do, or rather, jobs that humans shouldn't do. During the Wild Weasel mission, in order to find the enemy's air defense radar, I had to be caught by the enemy's radar first. The enemy's location was revealed only when he aimed at me, and then I was able to fire the HARM, an anti-radiation missile. To put it simply, I was the bait.
It was crazy rushing into enemy territory shouting “Shoot me!” and I felt like I had to update my will with every sortie. But in the MUM-T environment, there is no need for me to be the bait. The drone instead enters enemy territory, turns on its radar, and draws the enemy's attention. The moment the enemy turns on the shooting radar towards the drone, I detect its location from a safe distance and launch a missile. This is the Force Multiplier effect.
In November 2023, Lockheed Martin's Skunkworks tested this concept in practice. A pilot aboard a jet trainer, the L-39 Albatross, designated targets for two L-29 Delphins converted to unmanned aerial vehicles and gave an attack order. The drones performed their mission as ordered. In May of the same year, Boeing conducted aerial refueling tests with FA-18 Super Hornet and MQ-25 Stingray drones. The manned fighter pilot gave the unmanned aircraft a refueling command, and the drone matched its speed with the manned aircraft and delivered fuel stably. Something even more surprising will happen in 2025. In tests at the U.S.
Air Force Research Laboratory, F-16C and F-15E pilots each controlled two XQ-58A Valkyrie unmanned aerial vehicles simultaneously to conduct dogfight training. The scene where one human pilot commands four drones is a scene that could only be seen in science fiction movies in the past. But now it's a reality. There are several core technologies of MUM-T. AI-based swarm flight technology allows drones to fly in formation on their own. With mission assignment technology, the optimal role is automatically assigned to each drone.
There is command decision support technology that supports pilot decision-making, and there is automatic target identification technology that distinguishes friends from enemies. And data link technology that connects all of this in real time is essential. But there's more to it than technology. It's trust. I have always believed that a wingman who can have my back should be a comrade in arms with whom I have shared a drink and exchanged glances. What if the machine develops a bug and suddenly turns towards me? What if you zone out when you have to shoot an enemy? These concerns are voiced by all air forces considering MUM-T adoption.
Many pilots were shocked when an AI beat a veteran pilot 5-0 in DARPA's Alpha Dogfight competition in 2020. AI did not hesitate even in head-on confrontation situations that humans would instinctively avoid. Because machines are not afraid of death. That’s why explainable AI, or XAI (Explainable AI) technology, is important. AI must be able to explain to humans why it made that judgment, so that humans can trust and follow that judgment. If I don't understand why my wingman is going there, I can't have his back. Looking at the situation in Korea, MUM-T is becoming a necessity rather than an option.
A decline in military strength due to low birth rates is an unavoidable reality. It takes billions of won and over a decade to train one skilled pilot. But you can just clone the AI pilot. KF-21 being developed by KAI
The linkage between Boramae and unmanned aerial vehicles is heading down this path. The day the KF-21 teams up with an unmanned aerial vehicle, the skies over the Korean Peninsula will be much more tightly guarded. In the past, medieval knights fought alone. Honor and courage were everything. However, with the advent of the musket, the era of knights came to an end. Now another turning point is approaching. Pilots are no longer the ones holding on to the stick and playing tail with the bandit. He becomes the commander of dozens of drones using a tablet and voice commands.
The romance may be reduced, but your chances of returning home alive will increase. I think that's more important.
Kim Kyung-jin
Attorney · Former Member of the National Assembly · AI Policy Researcher
© 2026 Kim Kyung-jin. All rights reserved.