8 papers
Beyond headcount and human capital: The Effective Cognitive Population as a decomposable capacity unit for AI-era planning
Kwan Soo Shin
National planning counts population, human capital, and artificial-intelligence preparedness in separate ledgers. Demographic accounting has advanced from headcount to skills-adjus…
The inattentional gap in task conditioned AI models that omit otherwise reportable safety critical signals
Kwan Soo Shin
AI in radiology and other safety-critical workflows is evaluated on the hazards it is told to find, yet harm arises disproportionately from hazards no one specified. We show that c…
What Capital After Labor? Forecasting the Talent ROI Transition in the Human-AI Era
Kwan Soo Shin
AI augmentation breaks the accounting link between labor time and productive contribution, yet firms continue to evaluate talent through time-based overhead bundles. This paper dev…
Arithmetic and its remedies select the evidence on learned geometry
Kwan Soo Shin, In Seok Kang, Munho Lee
Intelligence that must act before outside correction arrives must carry the structure of its expert knowledge, and hyperbolic geometry represents hierarchy with a fidelity no Eucli…
Forecasting AI-Era Productivity: The Intellectually Converged Human Framework and a Missing Cognitive Mediator in Production Function Theory
Kwan Soo Shin, In Seok Kang
Why does massive AI investment fail to generate commensurate productivity gains? We argue the paradox is theoretically generated: prevailing production function frameworks encounte…
The Reasoning Trap: An Information-Theoretic Bound on Closed-System Multi-Step LLM Reasoning
Kwan Soo Shin
When copies of the same language model are prompted to debate, they produce diverse phrasings of one perspective rather than diverse perspectives. Multi-agent debate (MAD), and mor…
The Compliance Gap: Why AI Systems Promise to Follow Process Instructions but Don't
Kwan Soo Shin
An auditor instructs an AI assistant: "open each file individually using the Read tool -- no scripts, no agents." The AI replies "Yes" -- then issues a single batched call summariz…
JORLDY: a fully customizable open source framework for reinforcement learning
Kyushik Min, Hyunho Lee, Kwansu Shin +4
Recently, Reinforcement Learning (RL) has been actively researched in both academic and industrial fields. However, there exist only a few RL frameworks which are developed for res…