Developing AI Regulatory Legislation

• Fundamental Act on AI (인공지능 발전과 신뢰 기반 조성 등에 관한 기본법)

• Personal Information Protection Act (개인정보 보호법)

• Copyright Act (저작권법)

• National AI self-regulatory norms (e.g. National Guidelines, Industrial Code of Conducts, TTA Standards)

• International AI regulatory norms (e.g. NIST AI Risk Management Framework, EU AI Act and ISO/IEC Standards) 

Researching AI Technologies for AI Alignment (e.g. Fairness, Explainability and Privacy)

Collaborating with Diverse Organizations

• Center for Trustworthy AI (CTAI) at Seoul National University (https://ctai.snu.ac.kr/ko/) until Feb. 2029 (Funded by MSIT)

• KIST Consortium: Establishing Fair LMM until Dec. 2028 (Funded by IITP)

• University of Zurich: AI Policy Observatory (https://aipolicy.ius.uzh.ch/team)

Developing Legislation through Observational and Experimental Studies (Evidence-based Legislation)

Leveraging NLP Techniques to Analyze and Suggest Alternatives in Legal System (Legal NLP)

Collaborating with Diverse Organizations

• Language, Cognition, and Brain Laboratory at GIST