CIAGI advances AI governance, assurance, operational validation, and safe adoption for critical infrastructure through open frameworks, applied research, CPAG Lab validation, and international collaboration.
AI enabled decisions can directly influence physical systems. CIAGI focuses on interdisciplinary research that connects governance, assurance, operational practice, standards, and empirical validation.
AI governance remains distributed across disciplines, limiting unified approaches for critical infrastructure.
Governance models often remain disconnected from the operational realities of deployed AI systems.
Cyber physical AI governance requires evidence from realistic operational and laboratory environments.
Meaningful progress requires researchers, practitioners, standards experts, and operational stakeholders.
AAIGF-E is CIAGI’s flagship research contribution and an open platform for academic collaboration, empirical validation, pilot studies, and continuous improvement.
Control design, assurance evidence, accountability, and lifecycle governance.
Decision context, independent validation, reliance, and operational authority.
Cyber physical consequence pathways, adversarial AI, and operational resilience.
Cross standard alignment, sector governance, and policy relevant research.
CPAG Lab operationalizes governance frameworks by validating controls, assurance mechanisms, human oversight, and OT/ICS risk scenarios through experimentation and collaborative research.
Translate documented governance requirements into observable operational evidence.
Examine validation, escalation, and reliance decisions before operational deployment.
Develop modular laboratory environments for academic institutions and research partners.
Cybersecurity governance, risk, compliance, AI assurance, critical infrastructure, and OT/ICS security. Co-author of AAIGF-E v1.0.
Artificial intelligence, the Internet of Things, smart infrastructure, intelligent systems, and international academic collaboration.
Purdue University · Artificial intelligence · Multiagent systems · Robotics and Autonomous Systems.
Inha University · AI governance · Public policy · Smart cities.
Joint research, academic partnerships, research networks, workshops, publications, graduate collaboration, and applied validation.