Team
AIRG Institute is governed and guided by independent leaders committed to rigorous, credible AI governance research — with no commercial interests in the AI systems we study.
Executive Leadership
Richmond Perkins Asante
Founder & Executive Director, AIRG Institute · Columbus, Ohio
Richmond Perkins Asante works at the intersection of AI governance, cybersecurity assurance, enterprise risk, and responsible innovation. He helps organizations, boards, and public-interest institutions translate AI risk, policy, cybersecurity, and accountability principles into practical governance systems that hold up under scrutiny.
He is the Founder and Executive Director of the AI Risk & Governance Institute, a credentialed ISO/IEC 42001 Lead Auditor and ISO/IEC 27001 Lead Auditor, an author, and a patent-pending inventor. His frameworks — including the Governing Intelligence Framework and the AI-Cyber Critical Infrastructure Readiness Framework — are designed for boards, executives, auditors, compliance leaders, and organizations deploying AI in high-impact environments.
He founded AIRG Institute on the conviction that the future of AI will not be decided only by who builds the models — it will be decided by who governs them. Responsible AI governance demands rigorous, independent, standards-anchored institutional capacity at a scale that the field currently lacks. AIRG Institute exists to provide it.
As Executive Director, Richmond leads the Institute's research agenda, oversees the Enterprise Responsible AI Council (ERAC), and directs AIRG Institute's frameworks, advisory programs, and workshop series. He is the author of the Institute's foundational white papers on enterprise AI governance and EU AI Act compliance.
Board of Directors
AIRG Institute's Board of Directors provides independent governance oversight, strategic guidance, and fiduciary accountability for the Institute's mission and operations.
Inaugural Board Formation Underway
AIRG Institute is currently establishing its inaugural Board of Directors. We are seeking independent leaders whose expertise, professional standing, and commitment to responsible AI governance will strengthen the Institute's credibility, governance quality, and public accountability.
Board members serve in an independent, non-commercial capacity. No board member holds a commercial relationship with AI vendors, technology platforms, or consulting firms whose products or services AIRG Institute may evaluate or recommend. This independence is a foundational requirement, not a preference.
Inquire About Board ServiceAreas of Expertise We Are Seeking
AIRG Institute's Board of Directors will bring together independent expertise across the following domains:
Advisory Board
AIRG Institute's Advisory Board brings together independent subject-matter experts to inform our research agenda, validate governance frameworks, and strengthen the Institute's engagement with the global AI governance community.
Advisory Board Recruitment Open
We are actively recruiting advisors with practitioner expertise in enterprise AI governance, regulatory compliance, standards development, and applied AI risk management. Advisors contribute to research review, framework validation, and ERAC governance activities on a flexible, time-bound basis.
Advisory Board service at AIRG Institute is independent and non-commercial. Advisors are selected for the depth and relevance of their expertise, their commitment to responsible AI governance, and their ability to represent perspectives beyond those of large commercial enterprises.
Express Interest in Advisory ServiceAdvisor Profiles We Are Seeking
AIRG Institute seeks advisors who bring current, practitioner-level expertise in one or more of the following areas:
AI Standards Practitioner
Standards & Frameworks Advisory
Experience with ISO/IEC 42001, NIST AI RMF, or related AI governance standards in enterprise or standards-body contexts.
AI Law & Regulation Expert
Legal & Regulatory Advisory
Expertise in AI regulation, including EU AI Act compliance, data protection law, and algorithmic accountability frameworks.
AI Risk Researcher
Research & Academic Advisory
Published research in AI safety, AI ethics, algorithmic fairness, or AI risk management in applied or academic contexts.
Enterprise Governance Leader
Enterprise Practice Advisory
Senior practitioner experience building AI governance programs, risk frameworks, or compliance functions within large enterprises.
Civil Society Representative
Stakeholder & Rights Advisory
Experience in digital rights, algorithmic accountability advocacy, or AI policy engagement from a civil society perspective.
Sector Specialist
Sector-Specific Advisory
Deep expertise in AI governance within high-risk sectors: healthcare, financial services, energy, or public administration.