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deep1003/README.md

Youngsam Chun

Responsible AI Researcher, Frontier AI Lab, KT Corporation · Adjunct Professor in Business Analytics, UNIST

AI safety, governance, and value alignment: red-teaming and defence of retrieval-augmented generation systems, risk taxonomies for high-risk and Physical AI, and evaluation of large language model judges.

Full profile, publications, and CV: deep1003.github.io

Risk taxonomies

RAI-Risk-Taxonomy-2.0 · HTML Evidence-linked responsible AI risk taxonomy spanning general-purpose, agentic, and Physical AI. 1,726 global L4 risks across 50 L3 nodes, with the RAI-HOLD review queue and reproducible reliability validation. Site · Technical report · Semantic space

Physical-AI-Risk-Taxonomy · HTML Interactive L4 risk-card taxonomy for Physical AI: embodied AI, humanoids, robots, drones, autonomous vehicles, cyber-physical systems. 182 risk cards with bilingual definitions, evidence justifications, curation data, and audit logs. Site · Expert survey

Physical-AI-Risk-Survey-Responses Anonymous expert annotations collected for the Physical AI Risk Taxonomy.

Paper reproducibility

moral-orientation-calibration · Python Minimal reproducibility release for Moral Orientation and Calibration: Coupled in Human Annotators, Separable in Judge LLMs, ICML 2026 Pluralistic Alignment Workshop. Paper

silent-failure-moral-alignment Reproducibility release for Silent failure of moral alignment in large language-model evaluators, under review at Scientific Reports.

study-fbi-survey · HTML Public GitHub Pages frontend for the Study FBI human questionnaire on context-dependent aesthetic judgment. Anonymous server-side response collection. Questionnaire

Related paper, code hosted elsewhere: KidnapRAG — black-box attack hijacking reasoning in agentic RAG systems. Code

Data and analytics

patstat-online-ai-patent-collector · Jupyter Notebook Reproducible notebook workflow for year-specific AI patent source-data collection from PATSTAT Online under query-cost, query-length, and download-size constraints. Automates six relational query groups into a one-row-per-patent master file. Output dataset: PATSTAT AI Complete Master, 1950–2026 — 2,330,553 applications, 175 variables.

dci-patent-atlas · Python Data Center Interconnect patent atlas: science, technology, and supply-chain mapping.

AI_Topic_Space.github.io · HTML Interactive semantic map of AI topics across policy reports, academic papers, and patents. Four-level topic hierarchy with Korea activation and relative topic-gap analysis. Site · Dataset

Teaching

tim510-preclass-survey · HTML Pre-class survey for TIM510 Business Analytics, Graduate School of Technology and Innovation Management, UNIST.

Site

deep1003.github.io · HTML Source for my academic homepage.

deep1003 · Jupyter Notebook This profile repository, plus teaching and research notebooks on patent analytics, Sentence-BERT, and PatentSBERTa.

Contact

[email protected] · Homepage · Google Scholar · ORCID · LinkedIn

@deep1003's activity is private