AI Governance and Ethics

If AI is to be powerful, it must be governed. 

If AI is to be trusted, those who build it must be accountable. 

If AI is to be global, it must be fair. 

And if AI is to serve the future, it must not consume the future.

— António Guterres, [1]

Summary

Using an AI Governance and Ethics framework helps organizations manage the unpredictability of generative AI and its widespread use. AI Governance and Ethics focuses on four key areas: tracking AI spending, promoting responsible practices to keep AI systems trustworthy, monitoring independent AI actions through automated checks and human review, and managing AI risks while seeking opportunities for innovation. As a foundation for governance,  emphasizing key ethical principles such as accountability, fairness, and trust ensures that AI systems reflect human values and legal standards.

Increased AI usage and the inherently unpredictable nature of generative AI introduce additional risks that traditional organizational controls were not designed to manage. Leaders must set clear guardrails, model responsible use, and monitor outcomes, or risk legal exposure, financial waste, and loss of trust.

Portfolio Leadership, alongside the PMO or VMO (Value Management Office), is accountable for ensuring that AI-Native ARTs and Teams have the confidence to move at ‘AI speed’ while staying within legal, financial, and ethical boundaries. 

This guidance article introduces an AI Governance and Ethics framework, shown in Figure 1. This framework establishes four ‘AI governance pillars’ and is built on a foundation of AI ethics. This article explains each part of this framework in more detail. The content that follows each pillar has the same structure: what it means, why it matters, the controls to apply, and where AI can support execution.

Figure 1. AI Governance and Ethics framework

Controlling AI Spend

What is controlling AI spend?

In this article

Controlling AI Spend
Enforcing Responsible AI
Monitoring Agentic Behavior
Managing and Exploiting AI Risk
AI Ethics
Governing at the Speed of AI

Key Takeaways

  • An AI Governance and Ethics framework helps Portfolio Leadership guide decision-making and govern AI unpredictability across their portfolio.
  • Proactively manage usage-based AI costs through growth tracking, clear visibility, and responsible consumption attribution.
  • Maintain trust and regulatory compliance by ensuring AI remains transparent, explainable, and human-centric.
  • Monitor autonomous AI agents using a hierarchy of deterministic rules, automated detection, and human oversight.
  • Automated governance can be built to keep pace with AI’s speed, enabling Teams and ARTs as they deliver outcomes.

Last Update: 11 August 2026