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

Artificial intelligence is no longer just a tool. It is a form of delegated decision-making power.

Across industries, AI systems now influence credit decisions, hiring outcomes, healthcare recommendations, market behavior, and national security analysis. Yet while AI capabilities have advanced rapidly, AI governance, risk management, and regulatory oversight have not kept pace. Organizations continue to deploy systems they cannot fully explain, audit, or defend.

Governing Intelligence addresses this gap.

Using the classical framework of Ethos, Pathos, and Logos, Richmond Perkins presents a structured approach to enterprise AI governance; one grounded in authority, human impact, and operational accountability.

This book explores:
• AI governance frameworks for enterprise and regulated industries
• AI risk management, model risk, and accountability structures
• Responsible AI, ethics, and regulatory alignment
• Auditability, transparency, and explainability in AI systems
• Board-level oversight and fiduciary responsibility for AI

Moving beyond abstract ethics and compliance checklists, this work provides a practical model for aligning AI innovation with governance, risk, and compliance (GRC) requirements.

As artificial intelligence becomes embedded in business, finance, healthcare, and public systems, the question is no longer whether organizations will use AI. The question is whether they can govern it responsibly.

Governing Intelligence is written for executives, board members, regulators, risk professionals, and anyone responsible for ensuring that AI systems are trustworthy, accountable, and aligned with institutional responsibility.