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 16: Culture, Tourism, and Sports
Global Case Studies in Introducing AI into Public Administration
Chapter 16: Culture, Tourism, and Sports
Kim Kyung-jin
Chapter 16: Culture, Tourism, and Sports
1. AI-Based Cultural Heritage Conservation and Digital Archives in France
France is a country with a long history and cultural heritage, and it is actively utilizing artificial intelligence technology to preserve and manage it. Since 2019, the French Ministry of Culture has begun introducing AI technology to cultural heritage conservation through the "Digital Heritage Initiative (Initiative Patrimoine Numérique)."
AI technology is also providing significant assistance in cultural heritage restoration work. During the restoration process of Notre Dame Cathedral, which suffered severe damage in a 2019 fire, AI was used to establish an accurate restoration plan by analyzing thousands of past photographs and 3D scan data. AI algorithms estimated the original appearance of damaged parts and increased historical accuracy by suggesting necessary materials and construction methods.
The "Digital Louvre" project uses AI to enable people to experience French cultural heritage from anywhere. Through ultra-high-resolution digital images and AI-based virtual tours, even those who find it difficult to visit in person can vividly appreciate France's cultural heritage. During the COVID-19 pandemic, usage of this service increased by more than 500%, and it has been widely used in school education.
France's cultural heritage conservation AI project is also actively cooperating with other European countries. Through the "Europeana AI" initiative, it is sharing technology and data with Italy, Spain, Germany, and others, creating common standards for the preservation of cultural heritage across Europe. This international cooperation is further accelerating the development of cultural heritage conservation AI technology.
2. Intelligent Tourism Information in Spain
As a world-class tourism powerhouse, Spain is visited by more than 80 million tourists every year. In 2019, before COVID-19, the tourism industry served as an important pillar of the national economy, accounting for 12.4% of GDP. To maintain and develop the competitiveness of this tourism industry, the Spanish government has been actively promoting the "Smart Tourism Destination Strategy" since 2018.
As part of the "Barcelona Smart City" project, Barcelona introduced "Barcelona's AI-Based Tourism Management System." This system analyzes tourist flows by collecting real-time data from hundreds of sensors, mobile data, and SNS data within the city. Through this, it predicts congestion levels at specific tourist sites and recommends optimized visiting times for each area to tourists. For example, if Gaudi's Sagrada Familia is predicted to be crowded, it automatically recommends visiting at a different time or suggests alternative tourist destinations.
The "Spain Travel Assistant" app acts as an AI-based personalized travel planner. This app suggests an optimal travel itinerary considering the tourist's preferences, duration of visit, budget, and means of transportation. It subdivides courses according to individual interests such as food, art, history, and nature, and increases travel satisfaction by reflecting weather forecasts and local festival schedules. As of 2022, this app supports 15 languages and has exceeded 5 million downloads.
The "Spanish Cuisine AI" introduces regional traditional food to foreign tourists and recommends customized restaurants. This service finds suitable restaurants considering the tourist's dietary restrictions (vegetarianism, allergies, etc.), budget, and preferred tastes. In addition, it helps tourists enjoy Spanish food without language barriers by providing functions such as menu translation, explanations of local food culture, and recommendations for popular dishes.
Seville introduced the "Seville's Tourism Flow Management" system to encourage the distribution of tourists within the city. This system predicts the congestion levels of popular tourist sites such as the Alhambra Palace and Plaza de España through real-time data analysis and adjusts visitor allocations by region. During peak seasons, it finely controls the number of visitors by time slot to prevent excessive congestion and damage to cultural heritage. After the introduction of this system, visitor satisfaction at major tourist attractions rose by 23%.
The "Spanish Culture Interpreter" is an AI-based augmented reality (AR) guide service. When a tourist points a smartphone camera at a building or artwork, AI recognizes the object in real time and provides relevant history and cultural context. Beyond simply providing information, it also has functions to reenact historical events that occurred at that location using AR or to visualize and show the past appearance of buildings. This service currently supports 8 languages.
Valencia's "AI Tourism Safety System" analyzes CCTV and sensor data installed throughout the city for tourist safety. This system detects potential dangerous situations (crimes, accidents, etc.) and immediately notifies the police or emergency services if necessary. It also informs tourists of the safety status of specific areas in real time and recommends safer routes when moving at night. Since the introduction of this system, tourism-related crimes have decreased by 28%.
The "Spanish Sustainable Tourism AI" recommends travel methods that minimize environmental impact. This AI calculates the visitor's carbon footprint and suggests ways to reduce the environmental burden through the use of public transportation, consumption of locally produced food, and selection of eco-friendly hotels. It also prioritizes recommendations for small family-run businesses and local cultural events that can provide more benefits to the local economy. The European Union has recognized this project as a model case for sustainable tourism.
The Spanish Tourism Board uses an "AI Tourism Prediction System" to analyze tourism trends by country and region and optimize marketing strategies. This system predicts future tourism patterns by integrating flight booking data, search engine queries, social media analysis, and economic indicators. Since COVID-19, it has also included health-related data to establish strategies for the safe resumption of tourism. The accuracy of this prediction model is approximately 85%, which is of great help in efficient budget allocation and marketing targeting.
Kim Kyung-jin
Attorney · Former Member of the National Assembly · AI Policy Researcher
© 2026 Kim Kyung-jin. All rights reserved.