In This SeriesPart 1 — Data as National InfrastructurePart 2 — How Data Becomes an Industrial Asset: Yang Jae-soo’s Framework for VerificationPart 3 — DataStreams Takes Trusted, AI-Ready Data Ecosystems GlobalPart 4 — FLock.io CEO Jiahao Sun on Keeping Data Local While AI LearnsPart 5 — Causal Dynam

Series OverviewEpisode 1 | Why the World Took Notice of Korea's SeowonEpisode 2 | An Hyang and Sosu Seowon — The Beginning of Korean EducationEpisode 3 | Yi Hwang and Dosan Seowon — How Learning Shapes CharacterEpisode 4 | Ryu Seong-ryong and Byeongsan Seowon — Leadership That Protected a NationEpisode 5 | Yi Eon-jeok and Oksan Seowon — Philosophy Perfected in NatureEpisode 6 | Kim Goeng-pil and Dodong Seowon — The Roots of Moral ScholarshipEpisode 7 | Jeong Yeo-chang and Namgye Seowon — The

Series OrderPart 1 | When a Company Fails to Pay for a TransactionPart 2 | Continued Use of a Business Name and the Transferee’s LiabilityPart 3 | A Company Director’s Liability for DamagesPart 4 | The Person Hiding Behind a CompanyPart 5 | What to Consider After Being AssaultedPart 6 | What Is an A

Series OverviewPart 1 | Why Does AI Get Things Wrong So Convincingly?Part 2 | Why the OXMV Loop and Evidence Ledger Are NecessaryPart 3 | Mapping Knowledge for AI with Ontology By Manripungchwi Jung Yeon-taeMore Knowledge Does Not Necessarily Mean Better UnderstandingImagine a library containing mil

Series OrderPart 1 | What Should Humans Do When AI Expands the Limits of Thought? By Im Byung-min (IBM), ColumnistHaving worked in information technology for nearly 50 years, I have watched successive waves of technology expand what people can do. Two years before ChatGPT emerged, I began explaining the difference between human and artificial intelligence through the analogy of travel speed. If human thought and information processing move at 15 kilometers per hour, AI can be compared to an airc

Series Overview September 4 | Medical Imaging AI Enters National Infrastructure as HIRA Launches AI-Assisted Claims Review September 11 | The Medical Imaging AI Platform Race September 18 | Lung Cancer Screening AI and National Follow-Up Care September 25 | Breast AI Cuts Interval Cancers and Speeds

In This SeriesPart 1 — Data as National InfrastructurePart 2 — How Data Becomes an Industrial Asset: Yang Jae-soo’s Framework for VerificationPart 3 — DataStreams Takes Trusted, AI-Ready Data Ecosystems GlobalPart 4 — FLock.io CEO Jiahao Sun on Keeping Data Local While AI LearnsPart 5 — Causal Dynam

In This SeriesPart 1 — Data as National InfrastructurePart 2 — How Data Becomes an Industrial Asset: Yang Jae-soo’s Framework for VerificationPart 3 — DataStreams Takes Trusted, AI-Ready Data Ecosystems GlobalPart 4 — FLock.io CEO Jiahao Sun on Keeping Data Local While AI LearnsPart 5 — Hasibul Haqu

Launching the SeriesGovernments and companies worldwide are investing heavily in graphics processing units, data centers and large language models. Yet advanced computing infrastructure cannot deliver industrial results when corporate and public-sector data remains fragmented, its quality cannot be

Financial markets reacted sharply after the leaders of companies at the forefront of artificial intelligence began openly calling for a slower pace of development. Anthropic CEO Dario Amodei urged AI companies to slow advances in frontier model capabilities, while OpenAI CEO Sam Altman and xAI chief

Series OrderPart 1 | When a Company Fails to Pay for a TransactionPart 2 | Continued Use of a Business Name and the Transferee’s LiabilityPart 3 | A Company Director’s Liability for DamagesPart 4 | The Person Hiding Behind a CompanyPart 5 | What to Consider After Being AssaultedPart 6 | What Is an A

Series OverviewEpisode 1 | Why the World Took Notice of Korea's SeowonEpisode 2 | An Hyang and Sosu Seowon — The Beginning of Korean EducationEpisode 3 | Yi Hwang and Dosan Seowon — How Learning Shapes CharacterEpisode 4 | Ryu Seong-ryong and Byeongsan Seowon — Leadership That Protected a Nation

Series OverviewPart 1. Why the Future Belongs to the Healing IndustryPart 2. The Rise of the Healing Economy and the Fifth Industrial ParadigmPart 3. AI Can Treat Diseases, but Only Humans Can HealPart 4. The Healing Industry as the Next Blue OceanPart 5. The Most Promising AI Industries for the 100

Series OverviewSeptember 4 | HIRA Takes Its First Step in AI Claims Review as Medical Imaging AI Enters National InfrastructureSeptember 11 | The Competition to Build Integrated Medical Imaging AI PlatformsSeptember 18 | Lung Cancer Screening AI and Post-Screening Patient ManagementSeptember 25 | Ho

Series OverviewPart 1 | Why Does AI Get Things Wrong So Convincingly?Part 2 | Why the OXMV Loop and Evidence Ledger Are Necessary By Manripungchwi Jung Yeon-taeThe OXMV Loop: A Structure for Re-examining an AnswerWhile developing professional knowledge GPTs, my deepest concern was not simply how to

Selena Singleton, U.S. Head of Business Development and Partnerships at Singapore-headquartered online brokerage Longbridge, says investment platforms must help Gen Z investors understand their portfolios as a whole. As younger investors move across stocks, exchange-traded funds, options and digital

Series OrderPart 1 | Unpaid Corporate Transactions: Liability Behind the Veil Part 2 | Trade Name Continuity and the Liability of a SuccessorPart 3 | Directors’ Liability for DamagesPart 4 | The Person Behind the Company NamePart 5 | The Limits of Self-Defense in Assault Cases Part 6 | Criminal Sett

Series OverviewPart 1 | Why Does AI Get Things Wrong So Convincingly? By Manripungchwi Jung Yeon-taeStarting the SeriesAs generative AI moves deeper into professional knowledge and human decision-making, accuracy and verifiability have become central challenges in its use. This series examines the v

Launching the SeriesMedical imaging artificial intelligence is evolving from a diagnostic aid that detects abnormalities into an operational foundation connecting hospital workflows, national screening programs, health insurance and medical data systems. Its clinical value depends on reliable integr

Tokenization has exposed a structural mismatch in global finance: blockchain markets operate around the clock, while most equities and bonds remain tied to conventional trading hours. The Algorand Foundation and Flow Traders are addressing this gap by providing continuous institutional liquidity for