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 15: Labor and Social Welfare
Global Case Studies in Introducing AI into Public Administration
Chapter 15: Labor and Social Welfare
Kim Kyung-jin
Chapter 15: Labor and Social Welfare
1. Optimizing Labor Market Matching and Vocational Training in Germany
The German Federal Employment Agency (Bundesagentur für Arbeit, BA) has long played a role in connecting job seekers with employment. Through a system called VerBIS, this agency records job seekers' careers, qualifications, and areas of interest, using this information to introduce suitable jobs. VerBIS is an internal system used by agency staff for consultations and serves as a foundation for collecting and analyzing vast amounts of job seeker data.
Recently, the Federal Employment Agency has been pilot testing an automatic job recommendation feature by introducing artificial intelligence (AI) technology into the VerBIS system. In this method, the AI learns from past consultation materials and job matching data to recommend occupations that are a good fit for job seekers. For example, by referencing which jobs people in similar conditions adapted well to, it can suggest those occupations to job seekers of a similar type. This allows for finding jobs in a faster and more scientific way, rather than relying solely on human intuition.
However, for such a system to function properly, it must be possible to use a lot of information freely. Currently, due to data protection laws, AI cannot easily utilize the data held by the Employment Agency. For instance, because sensitive information can legally be used only in situations where the purpose is defined, separate legal permission or systems are required to use it for AI training.
Along with this, the Federal Employment Agency is also operating another AI project called ADEST. This system automatically analyzes various forms of job advertisements received through emails or websites and organizes them into a standardized format. The AI reads sentences containing specific words or expressions, recognizes them as "fixed term jobs," and automatically categorizes them. This feature reduces the effort of the staff in charge and helps organize job information quickly and accurately.
The German Federal Employment Agency uses machine learning for Einstiegsgeld (starting grant) applications under SGB II through the www.jobcenter.digital portal. Content from online submitted Arbeitsverträge (employment contracts) is extracted, and document classification is performed. This allows Jobcenter staff to pre-select documents and reduces the need to review all submitted documents in detail. The German Federal Employment Agency uses AI (KI) to verify Studienbescheinigungen (certificates of study) for approximately 150,000 Kindergeldbewilligungen (child benefit approvals) each year and to detect fraud attempts. The German Federal Employment Agency is testing a Voice-Bot to reduce the workload of service center staff, and AI-based voice recognition can provide significant convenience to the agency's specialized services, such as the Ärztlichen Dienst (Medical Service) and the Berufspsychologischen Service (Vocational Psychological Service).
In addition, the Employment Agency is introducing features such as automatically determining the authenticity of certificates, having AI find necessary information within child benefit applications, and categorizing email content to forward it to the person in charge. However, conversational AI (chatbots) has not yet been introduced. Due to the risk of incorrect information being delivered, they are taking a cautious approach until the technology becomes more stable.
In summary, the German Federal Employment Agency is making efforts to better connect job seekers and employment using AI. By integrating AI features into the VerBIS system, they are enabling more sophisticated recommendations, and they are organizing complex job information with the ADEST system. These technologies are of great help in reducing human workload and providing more accurate job information to more people.
However, many challenges remain, such as data protection issues, legal constraints, and the investment required for technology development. If these issues are resolved well, AI will become a very important tool in the German labor market in the future. Society as a whole must prepare together so that AI can be well utilized in a way that assists people rather than replacing them.
2. Preventing Overlaps in Social Welfare in Australia
Case Studies of AI Utilization by Centrelink
Centrelink, Australia's welfare agency, uses AI to prevent welfare fraud and manage it efficiently. AI identifies cases with a high possibility of fraud when applying for welfare benefits. It can detect "identity theft," where money is received by secretly using someone else's identity, or cases of false applications for COVID-19 support funds. When AI finds such cases and alerts staff, they investigate them.
When using AI, Centrelink uses it only to assist staff judgment rather than having the AI make decisions directly. The Australian government is creating rules to maintain transparency and accountability when using AI. However, civic groups and experts argue that the AI decision making process must be transparently disclosed and that thorough management is needed to ensure there are no biased judgments or incorrect decisions.
The Robodebt System and Its Problems
In the past, the Australian government created an AI-based system called Robodebt to automatically find people who received too much in welfare benefits by comparing government welfare data and tax data. However, there were some errors. It did not match the reality of temporary or non-regular workers whose actual income was not consistent every week. Because of this flawed method, hundreds of thousands of people unfairly received incorrect debt notices. As a result of this incident, the Australian government lost a lawsuit and had to pay compensation to many victims. The court concluded that the Robodebt system was "unlawful and unethical."
The Robodebt case revealed that if AI uses incorrect data or is poorly designed, it can cause great harm to citizens. Serious problems can occur if AI makes decisions automatically without properly reflecting the reality of welfare recipients. To solve these problems, the Australian government has created rules to assess and manage risks when using AI. Additionally, to operate AI systems transparently, they are disclosing the purpose, method, and management style of AI use to citizens. The Australian government's failure shows that while AI technology has the advantage of helping efficient work processing, many citizens can suffer if it is not used ethically and responsibly. Therefore, it is important to use AI carefully and transparently and to manage it continuously.
3. Optimizing Elderly Welfare Services in Singapore
Led by the Ministry of Health (MOH), the Singaporean government is actively operating various AI-based elderly care solutions linked to the Healthier SG program. The Smart Elderly Alert System, which utilizes IoT sensors and AI prediction algorithms, is widely used as a system that can monitor the health status of the elderly in real time and respond quickly to emergencies.
The Singapore Housing and Development Board (HDB) is actively developing in-home fall detection and notification systems for the safety of the elderly. Since 2023, non-contact fall detection systems based on mmWave sensors have been installed in HDB rental apartments to effectively support elderly people living alone. This system detects falls with a high accuracy of 94%, and it has the great advantage of being able to safely monitor the activities of the elderly without invading privacy as it does not use cameras. When a fall is detected, an alert is immediately sent to designated family members or emergency services to provide prompt assistance.
Programs using AI chatbots to reduce social isolation among the elderly and support their mental health are being actively implemented in various community centers. These chatbots stimulate cognitive activity through natural conversations with the elderly and easily provide important health information. Through advanced voice recognition technology, they have significantly improved ease of use so that elderly people who are not familiar with using digital devices can also use them easily. Furthermore, these AI chatbots can analyze an elderly person's tone or conversation content to detect early signs such as depression or cognitive decline and encourage appropriate professional intervention.
A comprehensive mobile app for family caregivers has also been developed, allowing for remote real-time monitoring of an elderly person's condition, efficient coordination of complex care schedules, and immediate receipt of expert advice when needed. The AI system embedded in this app analyzes the caregiver's activity patterns and stress indicators to accurately identify their burden level and recommends personalized additional support services or respite options in a timely manner to effectively prevent caregiver burnout. This creates a sustainable care environment and improves the quality of family-based care.
The Smart Nation Sensor Platform comprehensively integrates and analyzes elderly activity data by region to efficiently provide customized services optimized for each region and individual. As of 2025, services that intelligently connect elderly people with similar interests or health conditions through advanced AI matching algorithms and systematically link them with local volunteers, various service providers, and nearby medical institutions are being expanded and operated nationwide. This platform plays an important role in strengthening social networks for the elderly and promoting community participation, thereby improving overall quality of life.
The Singaporean government officially announced its National AI Strategy (NAIS) in 2019 and strategically selected the healthcare sector as a key area for AI introduction. In 2020, it ranked 6th in the world in the Government AI Readiness Index and has been actively and continuously investing in AI introduction. As it is specifically expected that 25% of Singapore's population will be 65 or older by 2030, interest and investment in building elderly care systems using AI technology are projected to expand further. A notable fact is that, as of 2020, the AI budget for the healthcare sector has increased significantly by 240% since the establishment of NAIS. This clearly shows how much effort the Singaporean government is putting into introducing AI technology to respond to an aging society.
Through the Smart Senior City project, Singapore is creating an elderly-friendly environment in various aspects. Specifically, it is comprehensively promoting the expansion of IoT-based smart residential facilities, strengthening elderly-friendly public transportation systems that consider those with limited mobility, and expanding smart public facilities with high accessibility for the elderly. Additionally, it is systematically and preventively managing the health of the elderly through AI and IoT-based healthcare systems. It is also encouraging social participation in various ways, such as expanding customized digital education programs for the elderly to reduce digital exclusion, operating community centers that promote intergenerational exchange, and revitalizing the silver economy to support the economic independence of the elderly.
To actively and innovatively respond to a rapidly aging society, Singapore is continuously developing and introducing various smart solutions using cutting-edge AI technology. AI-based elderly care systems systematically linked with the Healthier SG program are actually operating successfully, and it is expected that efforts to promote the physical and mental health of the elderly and improve overall quality of life will continue through ongoing investment and technology development. Singapore's approach is becoming an important model for countries preparing for an aging population.
Kim Kyung-jin
Attorney · Former Member of the National Assembly · AI Policy Researcher
© 2026 Kim Kyung-jin. All rights reserved.