Governing Intelligence: The Executive Standard for AI Governance: Volume I: Foundations of Governing Intelligence (The ValCoRE™ Series)

Volume I: Foundations of Governing Intelligence

Artificial intelligence is moving faster than most organisations are learning to govern it.

The challenge is no longer whether organisations will use AI. It is whether they can govern it with the clarity, accountability and confidence required to use it responsibly.

Governing Intelligence: The Executive Standard for AI Governance is a three-volume executive reference for understanding, establishing and strengthening the governance of artificial intelligence.

Written for executives, boards, governance professionals, risk leaders, auditors and those accountable for AI within their organisations, the series moves AI governance beyond technology teams and compliance checklists and places it where it belongs: as an enterprise leadership responsibility.

Volume I: Foundations of Governing Intelligence establishes the conceptual and organisational foundations for governing increasingly capable forms of artificial intelligence. It examines what AI is becoming, why traditional governance is no longer sufficient, how governance responsibilities must evolve, and where accountability must remain firmly human.

Drawing on contemporary governance thinking, real-world application and emerging AI practice, Volume I explores:

• The evolution from software to increasingly autonomous intelligence
• The rise of agentic AI and the governance implications of autonomy
• Why AI governance is fundamentally different from traditional technology governance
• The meaning, purpose and architecture of AI governance
• Executive and Board accountability for AI
• The history and evolution of governance itself
• Why existing governance models must adapt as intelligence becomes more capable
• The relationship between governance, strategy, risk, value and human judgement

At its centre is a critical proposition:

Good AI governance is not designed to stop innovation. It creates the conditions in which innovation can be trusted.

As AI systems become increasingly capable of acting, deciding and influencing outcomes, organisations must be able to answer fundamental questions: Who is accountable? What is the system permitted to do? What risks are acceptable? Where must humans remain involved? How is authority controlled? And what happens when capability evolves faster than existing controls?

Volume I establishes the foundations required to answer those questions.

The complete Governing Intelligence collection then builds progressively across three volumes:

Volume I - Foundations of Governing Intelligence
Parts I-II. Chapters 1-9
Establishes the foundations, principles, architecture and leadership responsibilities of AI governance.

Volume II - The Global Governance Landscape
Part III. Chapters 10-14
Examines the major international principles, standards and frameworks shaping AI governance, including the OECD AI Principles, ISO/IEC 42001, ISO/IEC 23894 and the NIST AI Risk Management Framework.

Volume III - Governing AI in Practice
Parts IV-V. Chapters 15–22
Moves from frameworks to implementation, assurance, AI risk management, AIMS, agentic AI, human oversight, non-human identities and the future of trust.

Together, the three volumes form the complete first edition of Governing Intelligence: The Executive Standard for AI Governance.

Because the organisations that succeed in the age of AI will not simply be those with the most advanced intelligence.

They will be those capable of governing it.

Better decisions. Stronger organisations. A safer, more human future.