Seoul Incheon Metropolitan Area
Institutions increasingly rely on AI-generated outputs to support consequential decisions. The critical governance question is not whether AI can generate answers, but when institutional reliance is justified. I work at the intersection of institutional decision governance, AI accountability, accreditation governance, and consequential decision-making. As a Commissioner with the Middle States Association (MSA-CESS), contributor to OECD/G7 Hiroshima AI Process implementation initiatives, Responsible AI Governor (South Korea), and Principal of an accredited international school system, I focus on how organizations determine when AI-generated outputs may inform decisions, require independent verification, or justify consequential action. My work examines the decision boundary where human accountability, institutional legitimacy, and operational responsibility intersect. Current areas of focus include: • Institutional Decision Governance • AI Accountability & Human Oversight • Consequential Decision Systems • Accreditation Governance & Institutional Accountability • Regulatory Oversight & Risk Governance • Reliance Authorization & Decision Governance Thresholds I welcome opportunities to collaborate with organizations seeking practical approaches to governing consequential decisions in an AI-enabled world.
Appointed Commissioner of a U.S. Department of Education–recognized accrediting body serving more than 3,000 institutions across 112 countries. Participate in accreditation governance, institutional accountability, and accreditation determinations affecting school authorization, accreditation status, compliance oversight, and organizational effectiveness. ACCREDITATION GOVERNANCE & ADJUDICATION • Participate in accreditation determinations involving reaffirmation, stipulations, probation, and related institutional actions. • Evaluate evidentiary records, accreditation reports, institutional responses, and compliance findings against established accreditation standards. • Assess proportionality, defensibility, and consistency of accreditation actions across diverse institutional contexts. • Contribute to accreditation determinations subject to formal appeal processes and organizational accountability requirements. INSTITUTIONAL ACCOUNTABILITY & RISK OVERSIGHT • Evaluate governance effectiveness, leadership capacity, safeguarding concerns, compliance performance, and institutional risk indicators. • Assess organizational responses to identified deficiencies and evidence of sustained institutional improvement. • Contribute to accountability determinations affecting institutional legitimacy, recognition, and public trust. GLOBAL ACCREDITATION & REGULATORY IMPACT • Support consistent application of accreditation standards across multiple jurisdictions and educational systems. • Participate in accreditation activities affecting institutions serving thousands of students across international and domestic contexts. • Governance reforms approved in 2026 will vest exclusive authority for accreditation determinations and accreditation policy governance in the Commissions effective July 1, 2027.
Represent institutional governance and AI decision-governance perspectives within the G7 Hiroshima AI Process (HAIP), contributing to international implementation efforts advancing safe, secure, and trustworthy AI through governance, accountability, and responsible institutional reliance on AI-assisted systems. • Advance decision-governance approaches defining when AI-assisted outputs may inform, support, or justify consequential organizational decisions • Contribute governance approaches addressing verification requirements, justified reliance, and accountable AI-assisted action • Contribute to ministerial-level policy roundtables convened by the Japanese Ministry of Internal Affairs and Communications • Delivered formal intervention at the Second HAIP In-Person Meeting (Tokyo, 2026), advancing governance controls for institutional AI reliance • Design and present interoperability approaches aligning governance controls with HAIP reporting structures for cross-jurisdictional comparability • Advance interoperability across OECD AI Principles, the Hiroshima AI Process, EU AI Act, NIST AI RMF, and ISO/IEC 42001 • Contributed to implementation activities supporting the G7 Hiroshima AI Process Friends Group Action Plan 2026, including interoperability work examining alignment between the HAIP Reporting Framework and institution-level governance systems
Contribute to the OECD/G7 Hiroshima AI Process (HAIP) Reporting Framework, supporting the evolution of the world's leading international transparency and accountability mechanism for organizations developing, deploying, and governing advanced AI systems. • Contribute deployer-side and institutional governance perspectives focused on accountability, verification, and consequential AI-assisted decision systems • Contributed to refinement of the HAIP Reporting Framework and development of the HAIP 2.0 reporting cycle, supporting broader participation across developers, deployers, and organizations throughout the AI value chain • Advanced implementation-oriented reporting approaches connecting governance principles with operational decision-making environments • Supported interoperability efforts spanning the OECD AI Principles, Hiroshima AI Process Code of Conduct, EU AI Act, NIST AI RMF, and ISO/IEC 42001 • Participated in international consultations examining transparency, reporting, deployer accountability, and emerging governance challenges associated with advanced and agentic AI systems • Recognized by the OECD Secretariat for an instrumental contribution to the revised HAIP 2.0 Reporting Framework presented during the 2026 OECD Ministerial Council Meeting
Lead institutional governance, consequential decision-making, accreditation oversight, and organizational accountability within an accredited international school system operating in a complex regulatory environment. • Led high school operations, accreditation alignment, governance, and stakeholder engagement during major regulatory and authorization challenges affecting the South Korean international school sector. • Exercised executive authority over academic operations, governance, compliance, accreditation, student affairs, safeguarding, and institutional risk management. • Designed and implemented institutional AI decision-governance controls defining when AI-generated outputs may inform decisions, require independent verification, or be authorized for operational use. • Led investigations, safeguarding reviews, disciplinary determinations, and administrative decisions requiring evidentiary evaluation, risk assessment, proportionality analysis, and executive judgment. • Directed accreditation, governance, compliance, and institutional effectiveness initiatives across multiple school divisions within an accredited international school system. • Oversaw institutional response and authorization planning during regulatory actions affecting international schools in South Korea. • Led implementation of the Responsible AI in Learning (RAIL) framework as a founding participating institution, advancing responsible AI adoption and governance practices in education.
Lead South Korean engagement in international Responsible AI governance initiatives while contributing to global efforts advancing governance implementation, standards development, certification frameworks, assurance practices, and trustworthy AI adoption. Governance, Standards & Certification • Serve on the Standards & Certification Committee, supporting the development of Responsible AI standards, governance controls, certification pathways, assurance mechanisms, and professional accountability frameworks • Contribute expertise in institutional governance, accreditation, consequential decision-making environments, and operational accountability to support practical and implementable Responsible AI standards Training & Education • Serve on the Training & Education Committee, supporting Responsible AI education, professional development, governance learning pathways, certifications, and workforce readiness initiatives aligned with the GRAICE™ framework Operational AI Governance & Accountability • Advance governance approaches addressing justified reliance, verification thresholds, human oversight, operational accountability, and AI-assisted decision-making • Promote implementation-focused governance practices that translate Responsible AI principles into measurable controls, governance processes, and accountable organizational action • Contribute perspectives on institutional trust, assurance readiness, decision governance, and accountable AI adoption in high-impact environments International Collaboration • Engage with policymakers, researchers, educators, standards organizations, and industry leaders to support Responsible AI implementation, governance harmonization, and capacity-building across jurisdictions and sectors.