ELDR Institute Research Center

Center for AI Governance

Where AI governance becomes institutional capability.

Knowledge Hub
About the Center

Artificial intelligence systems are being deployed at a pace that governance frameworks are only beginning to match. The gap between AI capability and AI accountability is widening — and the consequences of that gap are institutional: failed audits, regulatory penalties, reputational exposure, and decision-making systems that cannot be explained to regulators, boards, or the public.

The Center for AI Governance exists to close that gap. It produces the research, frameworks, and implementation guidance that organizations need to govern AI systems responsibly — not in theory, but in practice, under audit conditions, and across the regulatory jurisdictions that matter: EU AI Act, NIST AI RMF, sector-specific AI requirements in financial services, healthcare, and federal government.

The Center works at the intersection of regulatory requirements, institutional accountability, and enterprise AI deployment — producing research that is traceable, defensible, and applicable to the environments practitioners actually operate in.

Mission Statement

Advance responsible artificial intelligence through governance frameworks, regulatory intelligence, risk management, institutional accountability, and practical implementation guidance for public and private sector organizations worldwide.

Focus Areas
NIST AI RMFEU AI ActModel Risk ManagementAI AssuranceResponsible AIAI AuditAI EthicsAlgorithmic Accountability
Research Themes

The Center's primary
research pillars.

EU AI Act · NIST AI RMF · FDA AI/ML
AI Regulatory Compliance

EU AI Act risk classification, NIST AI RMF implementation, OECD AI Principles application, and sector-specific AI regulatory requirements across financial services, healthcare, and government.

Model Risk · SR 11-7 · Validation
Model Governance & Risk Management

Model documentation standards, model risk management frameworks, SR 11-7 alignment, and model validation governance for enterprise AI systems.

Ethics · Fairness · Explainability
Responsible AI Implementation

AI ethics frameworks, bias assessment and mitigation, transparency and explainability documentation, and human oversight governance for deployed AI systems.

AI Audit · Evidence · Assessment
AI Audit & Evidence Architecture

AI-specific audit evidence frameworks, third-party AI assessment support, AI incident documentation, and AI system performance monitoring records.

Publications

Research publications
from this center.

White Papers

Original white papers from the Center's research program. Subscribe to receive new publications as they are released.

Publishing Q3 2026 →
Research Briefs

Concise research briefs synthesizing the Center's analysis on specific regulatory or governance developments.

Publishing Q3 2026 →
Frameworks & Standards

Implementation frameworks, reference architectures, and governance standards developed by the Center's research program.

Publishing Q4 2026 →

Browse current publications and templates in the ELDR Institute Knowledge Hub →

Fellows & Researchers

The Center for AI Governance Fellows
Directory.

The Center's Fellows Directory launches alongside the first research publications. Fellowship appointments — Director, Senior Fellows, Research Fellows, Practitioners, Visiting Scholars — are made by invitation based on domain expertise and accountability for published research.

Senior Fellows

Domain authorities with primary research responsibility.

Research Fellows

Active researchers contributing to Center publications.

Visiting Scholars

Practitioner scholars with specialized domain contribution.

Research Updates

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Center for AI Governance research.

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