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AI GOVERNANCE & CYBER RISK LEADER · AUTHOR · FOUNDER · INVENTOR · RESPONSIBLE AI STRATEGIST

The future of AI will not be decided only by who builds the models.

It will be decided by who governs them.

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.

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Richmond Perkins Asante
Areas of Focus

Where Governance Meets Practice

AI Governance

AI Governance & Responsible AI

Designing practical governance structures for AI systems, institutional accountability, responsible deployment, and board-level oversight.

Cyber Risk

AI-Cyber Risk & Critical Infrastructure

Helping organizations assess AI-enabled cyber risk, operational resilience, third-party exposure, and critical infrastructure preparedness.

GRC & Audit

Cybersecurity, GRC & Audit Readiness

Aligning cybersecurity controls, enterprise risk, vendor risk, and audit evidence with institutional resilience.

Policy & Standards

AI Policy, Standards & Regulation

Translating AI policy, ISO standards, NIST AI RMF, and regulatory expectations into operational governance.

Research

Frameworks & Research Systems

Building structured frameworks for AI governance maturity, risk databases, public oversight, and decision intelligence.

Economics

AI Economics & Capital Markets

Analyzing the economic, institutional, and market implications of artificial intelligence.

Featured Work

Frameworks, Research & Institutions

Signature Framework

The Governing Intelligence Framework

Ethos · Pathos · Logos for Responsible AI — translating AI ethics into institutional accountability and governance controls.

Signature Framework

AI-Cyber Critical Infrastructure Readiness

A readiness framework for AI-enabled cyber risk, operational resilience, third-party exposure, and infrastructure preparedness.

Institution
AIRG Institute

AI Risk & Governance Institute

An independent institute advancing responsible AI adoption, enterprise accountability standards, and institutional governance practice.

Public Policy

U.S. AI Governance Index

A state-level framework assessing AI policy readiness, public-sector oversight, and accountability maturity across U.S. states.

Research Infrastructure

AI Risk Database

A structured taxonomy for documenting AI incidents, governance failures, risk patterns, and accountability evidence.

Decision Intelligence

F.I.R.S.T. Predictive Framework

A capital markets decision-support framework evaluating securities through Fundamental, Intermarket, Risk-Reward, Sentiment, and Technical lenses.

Book · 2026

Governing Intelligence

Ethos, Pathos, and Logos for Enterprise AI Risk & Accountability — a governance-focused work for organizations navigating responsible AI.

Book · 2026

AI Economics for Everyday People

A practical guide analyzing how AI is transforming labor, productivity, capital allocation, infrastructure, and economic opportunity.

AI governance is not only about compliance. It is about whether institutions can remain accountable when intelligent systems begin shaping decisions, markets, rights, and public trust.

— RICHMOND PERKINS ASANTE

Speaking, Advisory & Research Collaboration

For speaking engagements, board briefings, advisory conversations, research collaboration, or professional opportunities.

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Impact

Building governance systems for responsible AI, institutional trust, and emerging technology accountability.

Richmond's work focuses on translating complex AI, cybersecurity, and enterprise risk challenges into governance-ready systems. His portfolio spans institutional leadership, AI governance frameworks, standards alignment, public-interest research, and education initiatives.

Frontier AI Policy Brief
Policy Brief · June 2026

Frontier AI and Critical Infrastructure Cyber Risk

Governance recommendations prepared in connection with the House Homeland Security Subcommittee hearing on frontier AI, agentic AI, cybersecurity, and critical infrastructure resilience.

Institutional Leadership

Founder & Executive Director, AI Risk & Governance Institute

Richmond is the Founder & Executive Director of the AI Risk & Governance Institute, an independent institute advancing responsible AI adoption, enterprise accountability standards, AI governance research, and institutional governance practice.

Framework Development

Governance Framework Development

He develops frameworks that help organizations and public institutions assess AI maturity, document risks, map controls, evaluate accountability gaps, and strengthen AI governance readiness.

Standards Alignment

Standards-Based AI Governance

His work integrates ISO/IEC 42001, ISO/IEC 27001, NIST AI RMF, enterprise risk management, cybersecurity assurance, and audit-readiness principles into practical governance systems.

Research

Public-Interest AI Research

Richmond's research interests include frontier AI governance, AI safety and institutional risk, enterprise AI accountability, global AI/ML policy and regulation, blockchain governance, and AI economics.

Education & Thought Leadership

Education & Thought Leadership

Through books, articles, workshops, and institutional initiatives, Richmond works to make AI governance understandable, practical, and operational for professionals, organizations, and public-interest stakeholders.

Signature Governance Frameworks

From AI Awareness to AI Accountability

Richmond's work includes original frameworks designed to help institutions move from AI awareness to AI accountability.

Signature Framework

The Governing Intelligence Framework

This framework connects institutional authority, human impact, and operational assurance through the pillars of Ethos, Pathos, and Logos. It is designed to help organizations translate responsible AI principles into governance structures, controls, and evidence.

Applied Framework

AI-Cyber Critical Infrastructure Readiness Framework

This framework helps organizations evaluate their readiness for AI-enabled cyber risk, third-party exposure, operational disruption, and critical infrastructure impact. Designed for organizations where AI governance, cybersecurity, and resilience must be managed together.

Frameworks

Governance frameworks for responsible AI, cyber resilience, public accountability, and decision intelligence.

Richmond develops practical frameworks that translate complex AI governance, cybersecurity, institutional risk, market, and public-interest challenges into structured systems for assessment, implementation, oversight, and decision support.

Section 1 — Signature Frameworks
AI Governance · Responsible AI · Enterprise Accountability · Institutional Trust

The Governing Intelligence Framework

Ethos · Pathos · Logos for Responsible AI

GOVERNING INTELLIGENCE ETHOS Authority & Accountability PATHOS Human Impact & Trust LOGOS Controls & Assurance

The Three Pillars of Responsible AI Governance

A governance framework for translating AI ethics, institutional accountability, enterprise risk, and operational controls into practical responsible AI systems. The Governing Intelligence Framework helps organizations move beyond abstract AI ethics into accountable governance practice. Built around the relationship between institutional legitimacy, human impact, and operational controls, the framework supports responsible AI oversight, risk ownership, policy implementation, audit readiness, and board-level accountability.

This framework connects directly to Richmond's book, Governing Intelligence: Ethos, Pathos, and Logos for Enterprise AI Risk & Accountability, and represents one of his central intellectual contributions to AI governance.

Core Pillars

Ethos — Authority & Accountability

Does the institution have the legitimate authority, leadership structure, governance ownership, and accountability mechanisms required to deploy and oversee AI systems responsibly? Who owns AI risk? Is leadership informed and accountable before deployment?

Pathos — Human Impact & Institutional Trust

Focuses on people, communities, customers, and stakeholders affected by AI systems. Evaluates fairness, harm, transparency, explainability, contestability, and institutional trust. Can decisions be challenged or reviewed?

Logos — Controls, Evidence & Assurance

Translates AI governance into operational controls, evidence, monitoring, audit readiness, and continuous assurance. What controls prove the system is governed? How are risks monitored? Can the institution demonstrate compliance and accountability?

Use Cases

Enterprise AI governance programs Board & executive AI oversight Responsible AI strategy AI policy implementation ISO/IEC 42001 readiness AI governance workshops Institutional accountability reviews AI governance maturity assessments Policy-to-control translation
AI-Cyber Risk · Critical Infrastructure · Operational Resilience · Governance Readiness

AI-Cyber Critical Infrastructure Readiness Framework

AI Risk · Cyber Resilience · Critical Infrastructure Preparedness

GOVERNANCE READINESS AI SYSTEM INVENTORY CYBER CONTROLS 3RD PARTY RISK CRITICAL INFRASTRUCTURE INCIDENT RESPONSE ASSURANCE & EVIDENCE 1 2 3 4 5 6 7

Seven Assessment Pillars for AI-Cyber Readiness

A readiness framework for assessing AI-related cyber risk, governance maturity, operational resilience, third-party exposure, and critical infrastructure preparedness. Designed for institutions operating in high-impact or regulated environments where AI adoption, cybersecurity assurance, and operational resilience must be governed together.

Seven Assessment Pillars

1. Governance Readiness

Assesses leadership accountability, board visibility, risk ownership, AI policies, cybersecurity governance, escalation paths, and decision authority.

2. AI System Inventory & Use-Case Risk

Identifies AI systems, business use cases, data dependencies, operational reliance, model criticality, and potential impact. Addresses shadow AI risks.

3. Cybersecurity Control Alignment

Maps AI-related risks to cybersecurity controls, access governance, data protection, secure integration, vulnerability management, and ISO/IEC 27001 alignment.

4. Third-Party & Supply Chain Risk

Evaluates AI vendors, cloud providers, model providers, outsourced systems, contractual safeguards, concentration risk, and exit planning.

5. Critical Infrastructure Impact

Assesses whether AI-enabled systems affect essential services, public safety, financial stability, healthcare, utilities, transportation, or government operations.

6. Incident Response & Resilience

Reviews preparedness for AI-related incidents, cyber incidents, model failures, business continuity, disaster recovery, and crisis communications.

7. Assurance, Evidence & Continuous Monitoring

Assesses audit evidence, control testing, metrics, monitoring indicators, regulatory documentation, and governance improvement cycles.

Use Cases

Public agencies Financial institutions Healthcare organizations Utilities & infrastructure operators AI-enabled vendors Boards & executive teams Chamber of commerce workshops Policy briefings Grant-funded readiness assessments Critical infrastructure preparedness reviews
Section 2 — Public-Interest Governance Frameworks
AI Governance · Public Policy · State Maturity

U.S. AI Governance Index

A state-level governance maturity framework designed to assess AI policy readiness, institutional accountability, public-sector oversight, risk controls, transparency, and responsible AI implementation across U.S. states.

State AI Policy Maturity Public Oversight Accountability
AI Risk · Incident Tracking · Taxonomy

AI Risk Database Taxonomy

A structured taxonomy for documenting AI incidents, governance failures, model risks, harm categories, control gaps, institutional accountability issues, and emerging AI risk patterns.

Incident Categories Harm Types Governance Evidence
Research Infrastructure · Policy Monitoring

AI Governance Observatory

A research and monitoring system for tracking AI policy developments, governance maturity, emerging risks, standards adoption, and institutional readiness across sectors and jurisdictions.

Policy Intelligence Standards Adoption Risk Monitoring
Section 3 — Decision Intelligence & Market Frameworks
Capital Markets · Predictive Analytics · Decision Support

F.I.R.S.T. Predictive Stock Grading Framework

A proprietary capital markets decision-support framework that evaluates securities using Fundamental, Intermarket, Risk-Reward, Sentiment, and Technical indicators to produce structured investment and trading signals.

Note: This framework is described as a decision-support methodology and does not constitute investment advice.

AI Economics · Market Structure · Infrastructure

AI Economics Pyramid

A framework explaining the economic structure of artificial intelligence through layers such as energy, chips, data centers, models, software infrastructure, applications, and end users — mapping the full value chain of AI.

Organizations & Initiatives

Building institutions and initiatives for responsible AI, governance research, and market education.

Richmond's work includes founding and developing organizations and initiatives focused on responsible AI governance, public-interest technology, market intelligence, and professional education.

Founder & Executive Director

AI Risk & Governance Institute

An independent institute advancing responsible AI adoption, enterprise accountability standards, AI governance research, public education, and institutional governance practice.

AI Governance Research Responsible AI Frameworks Public-Sector AI Oversight Enterprise Responsible AI Council U.S. AI Governance Observatory Standards & Assurance
Founder / Convening Architect

Enterprise Responsible AI Council

A cross-sector initiative forming around AI accountability standards, responsible AI practice, enterprise governance alignment, and shared institutional learning. Brings together professionals, researchers, policymakers, auditors, technologists, and enterprise leaders to strengthen responsible AI implementation and governance standards.

Professional Memberships
Professional Member
AAAI

AAAI

Association for the Advancement of Artificial Intelligence — a premier nonprofit scientific society devoted to advancing the understanding of AI mechanisms and responsible use, founded in 1979.

Professional Member
IAPP

IAPP

International Association of Privacy Professionals — a policy-neutral nonprofit defining and improving the professions of privacy, AI governance, and digital responsibility globally.

Professional Member
ISACA

ISACA

An international professional association focused on information technology governance, auditing, risk management, and cybersecurity.

Member
UIA

United Inventors Association

A 501(c)(3) nonprofit organization dedicated to providing educational resources and creating opportunities for the independent inventing community.

Publications

Books, research, and thought leadership on AI governance, AI economics, accountability, and markets.

Richmond's publications examine artificial intelligence, enterprise accountability, institutional risk, AI economics, market education, and the governance systems required for responsible innovation.

Books
Governing Intelligence
AI Governance · Enterprise Risk · Responsible AI

Governing Intelligence: Ethos, Pathos, and Logos for Enterprise AI Risk & Accountability

AIRG Publications, 2026

A governance-focused work examining enterprise AI accountability, organizational risk, and responsible AI implementation through an ethics-meets-controls lens aligned with emerging regulatory expectations.

AI Governance Enterprise Risk Responsible AI ISO/IEC 42001
AI Economics for Everyday People
AI Economics · Technology Strategy · Markets

AI Economics for Everyday People

AIRG Publications, 2026

A practical guide analyzing how artificial intelligence is transforming labor, productivity, capital allocation, infrastructure, institutional power, and everyday economic opportunity.

AI Economics Technology Strategy Labor & Productivity
Investing Intelligence
Capital Markets · Trading Education · Financial Literacy

Investing Intelligence

A professional guide to developing intelligent, disciplined investment strategies — combining market understanding, risk management, and structured decision-making for serious investors.

Capital Markets Trading Education Financial Literacy
Research Manuscript
AI Governance · Blockchain Governance · Policy Compliance

Algorithmic Constitutionalism: A Blockchain-Based Framework for Verifiable & Automated AI Policy Compliance

A research manuscript proposing constitutional governance principles for AI, including transparency, auditability, and enforcement logic implemented through decentralized verification mechanisms for automated policy compliance.

AI Governance Blockchain Governance Policy Compliance Decentralized Verification
Intellectual Property

Patent-pending work in AI-assisted market intelligence and decision-support systems.

Richmond's intellectual property includes original work focused on predictive analytics, structured decision-making, AI-assisted market intelligence, and capital markets decision-support systems.

Patent Pending

AI-Assisted Market Intelligence & Decision-Support Framework

A patent-pending AI-assisted market intelligence and decision-support framework designed to support structured capital markets analysis, risk-aware signal evaluation, and disciplined decision-making.

The framework integrates multiple analytical dimensions into a composite decision-support model, helping users evaluate market opportunities through repeatable criteria rather than purely discretionary judgment.

Important Disclaimer: This work is intended for research, education, and decision-support purposes only and should not be presented as financial advice or a guarantee of investment performance.

Speaking & Workshops

Practical AI governance, cyber risk, and responsible innovation for boards, executives, institutions, and professionals.

Richmond is available for speaking, workshops, panels, board briefings, and educational sessions focused on AI governance, enterprise accountability, cybersecurity assurance, and responsible AI implementation.

Speaking Topics

The Governing Intelligence Framework

A practical session on moving from AI ethics to AI accountability using the Ethos, Pathos, and Logos model for responsible AI governance.

AI-Cyber Critical Infrastructure Readiness

A workshop for organizations, public agencies, and business communities on assessing AI-enabled cyber risk, operational resilience, third-party exposure, and critical infrastructure preparedness.

AI Governance for Critical Infrastructure & Regulated Sectors

A board and executive briefing on how AI risk, cybersecurity risk, and operational resilience intersect in high-impact environments.

AI Governance for Boards and Executives

How boards and senior leaders can understand AI risk, accountability, oversight, and institutional responsibility.

Responsible AI and ISO/IEC 42001 Readiness

How organizations can prepare for AI management system expectations and operationalize responsible AI governance.

AI Risk Management and Cybersecurity

How AI changes enterprise risk, third-party risk, cybersecurity controls, data protection, and audit readiness.

Public-Sector AI Governance

How governments and public institutions can design responsible AI policies, oversight systems, and accountability mechanisms.

AI Economics and the Future of Work

How artificial intelligence is reshaping labor, productivity, markets, infrastructure, and institutional power.

AI Governance for Small Businesses & Community Institutions

A practical introduction to AI risks, opportunities, policies, and responsible adoption for small businesses, chambers of commerce, nonprofits, and community leaders.

Workshop & Engagement Formats

Keynote Presentation

Executive Briefing

Board Education Session

Half-Day Workshop

Full-Day Workshop

Panel Moderation

Fireside Chat

Custom Organizational Training

Past Speaking Engagements
Richmond Perkins Asante speaking at African Union Mission Washington DC
Keynote Speaker February 23, 2023

Black History Festival 2023

A Celebration of US-Africa Ties and Exchange — BHF-USA, Columbus, Ohio

African Union Representative Mission to the United States

1640 Wisconsin Ave NW, Washington, DC 20007

Richmond delivered a keynote address at the African Union Representative Mission to the United States, speaking on AI governance, technology accountability, and the intersection of emerging technology policy and US-Africa economic ties.

Invite Richmond to Speak

For speaking, workshops, board briefings, or institutional training, please reach out below.

Invite Richmond to Speak
Credentials

Governance, audit, cybersecurity, AI, and financial markets credentials.

Certifications
Certified Information Systems Auditor (CISA)
ISACA
Audit & Governance
AI Governance Professional (AIGP)
IAPP — International Association of Privacy Professionals
AI Governance
ISO/IEC 42001 Lead Auditor
AI Management Systems & Responsible AI
AI Standards
ISO/IEC 27001 Lead Auditor
Information Security Management Systems
Cybersecurity
Microsoft AI Product Manager Certificate
Microsoft
AI & Product
CAA Fraud Detection Certificate
Certified Anti-Money Laundering Association
Risk & Fraud
Securities Industry Essentials (SIE)
FINRA — Financial Industry Regulatory Authority
Capital Markets
Standards & Frameworks

Richmond's work is informed by:

ISO/IEC 42001 ISO/IEC 27001 NIST AI RMF COSO ERM COBIT GDPR HIPAA Responsible AI Lifecycle Blockchain Governance
Competency Areas

AI Governance & Risk

  • AI Governance & Risk Management
  • Responsible AI
  • ISO 42001 Alignment
  • AI Risk Management
  • AI Safety & Assurance
  • AI Policy & Regulatory Analysis

Cybersecurity & Enterprise GRC

  • Cyber Governance
  • Audit Readiness
  • Third-Party & Vendor Risk
  • Enterprise Controls
  • Compliance Evidence Management

Strategy & Leadership

  • Governance Framework Design
  • Executive Communication
  • Cross-Functional Stakeholder Leadership
  • Strategic Research & Policy Analysis
Bio

Richmond Perkins Asante

AI Governance · Cyber Risk · Enterprise Accountability

Richmond Perkins Asante is an AI governance, cybersecurity, and enterprise risk professional focused on responsible AI systems, audit-ready governance, and emerging technology accountability. He is the Founder & Executive Director of the AI Risk & Governance Institute, where he leads work on responsible AI adoption, enterprise accountability standards, research, and institutional governance practice.

Richmond Perkins Asante works at the intersection of AI governance, cybersecurity assurance, enterprise risk, and responsible innovation. He is the Founder & Executive Director of the AI Risk & Governance Institute, an author, ISO/IEC 42001 and ISO/IEC 27001 Lead Auditor, and patent-pending inventor focused on AI-assisted decision-support systems.

His work integrates AI governance, cybersecurity controls, ISO standards, NIST AI RMF, enterprise risk management, policy analysis, and institutional accountability. Richmond's professional background includes experience across cybersecurity assurance, GRC, regulatory alignment, third-party risk, and emerging technology governance in financial services.

He is the author of works on AI governance, AI economics, and capital markets education, and his research interests include frontier AI governance, AI safety, enterprise AI accountability, global AI/ML policy, blockchain governance, and AI economics.

Richmond Perkins Asante is an AI governance, cybersecurity, and enterprise risk professional focused on responsible AI systems, audit-ready governance, and emerging technology accountability. He is the Founder & Executive Director of the AI Risk & Governance Institute, an independent institute advancing responsible AI adoption, enterprise accountability standards, AI governance research, and institutional governance practice.

Richmond's work sits at the intersection of artificial intelligence, cybersecurity assurance, enterprise risk management, public policy, and responsible innovation. He develops frameworks and research systems that help organizations and public institutions translate complex AI risks into practical governance structures, control expectations, evidence requirements, and accountability mechanisms.

His professional background includes nearly a decade of experience across cybersecurity assurance, enterprise risk, regulatory oversight, and governance in financial services. He has worked on GRC initiatives, control evaluations, risk assessments, compliance validation, third-party risk, and emerging technology governance in regulated environments.

Richmond is certified as a CISA, AI Governance Professional, ISO/IEC 42001 Lead Auditor, and ISO/IEC 27001 Lead Auditor. He is also the author of works on AI governance, AI economics, and capital markets education, and holds patent-pending intellectual property related to AI-assisted market intelligence and decision-support systems.

His research and governance interests include frontier AI governance, AI safety and institutional risk, enterprise AI accountability, global AI/ML policy and regulation, blockchain governance and policy, AI economics, and labor transformation.

Insights

Essays, research notes, and commentary on AI governance, cyber risk, policy, and markets.

Frontier AI and Critical Infrastructure Cyber Risk
Policy Brief · AIRG Institute · June 2026

Frontier AI and Critical Infrastructure Cyber Risk

Governance Recommendations from AIRG Institute — prepared in connection with the House Homeland Security Subcommittee hearing on frontier AI, agentic AI, cybersecurity, and critical infrastructure resilience.

AI Governance

Why AI Governance Is an Institutional Trust Problem

Governance failures in AI are rarely technical. They are institutional — about authority, accountability, and the systems organizations build to remain trustworthy.

AI Policy

From AI Policy to AI Controls: The Missing Middle

Policies without controls are aspirations. The gap between AI policy intent and operational governance is where most organizations get stuck.

Responsible AI

What ISO/IEC 42001 Means for Enterprise AI Accountability

ISO/IEC 42001 is not just a certification. It is a signal that organizations are serious about governing AI as a management system, not a technical experiment.

AI Policy

Why Public-Sector AI Needs Governance Maturity Models

Government agencies adopting AI face unique accountability demands. Maturity models offer a path from ad hoc adoption to governed, auditable AI systems.

AI Economics

The Economics of AI Infrastructure

Understanding the layered economics of AI — from energy and chips to models and applications — is essential for boards, investors, and policymakers.

AI Governance

AI Risk Registers Are Not Enough

Risk registers document risk. Governance systems address it. The difference matters when AI systems begin affecting real decisions, people, and institutions.

AI Governance

How Boards Should Think About AI Oversight

Board oversight of AI is not a technology question. It is a governance, accountability, and institutional legitimacy question.

AI Policy

The Case for a U.S. AI Governance Index

States are becoming the first real testing ground for AI governance in America. A governance index gives policymakers and institutions a way to measure and improve.

Cyber Risk

When Cybersecurity and AI Risk Become the Same Problem

AI adoption is not separate from cybersecurity risk. As organizations depend more on AI systems, the attack surface, the accountability gap, and the governance stakes grow together.

Research Collaboration & Media Inquiries

For research collaboration, media inquiries, or commentary requests, please reach out.

Get in Touch
Inquire

For speaking, advisory, research collaboration, media, or professional opportunities.

For speaking invitations, advisory conversations, research collaboration, media inquiries, workshops, or professional opportunities, please use the form below.

Contact

Email

Perkins@richmondpasante.com

Phone

(202) 705-1215

Location

Columbus, Ohio

Available For

Speaking & Keynotes Executive & Board Briefings Workshops & Training Advisory Engagements Research Collaboration Media & Commentary Professional Opportunities