Governance in the Age of Generative AI: The 3 New Questions Your Board Should Ask

The rise of Generative Artificial Intelligence and Large Language Models (LLMs) has moved the discussion on governance from a theoretical realm to a practical urgency. A board's fiduciary responsibility is no longer simply to oversee AI strategy, but to actively govern the exponential risks and opportunities these new technologies bring. Yesterday's questions are no longer sufficient.

The current scenario, according to industry analysis, shows that while the adoption of generative AI is growing, the maturity of its governance is still in its infancy. This creates a dangerous gap. Below, we present three new questions that should be at the center of your board's discussions.

1. Data Sovereignty and Security: Where Do Our Most Strategic Insights Live?

When using third-party LLMs, the fundamental question is: what strategic data is being used to train or refine these models? Data sovereignty is a pillar of competitive advantage. The board needs to question the existence of a clear policy on the use of proprietary data on external platforms and evaluate the implementation of secure "sandboxes" or private LLMs to protect the intellectual "heart" of the corporation. For more information, see the article by MIT Sloan Management Review on Data Strategy for Generative AI is essential reading.

2. The Risk of “Hallucination” and Decision Validity: Do We Trust What AI Tells Us?

LLMs are known for "blindfolding"—generating factually incorrect information with extreme confidence. When a board report or market analysis is generated with the help of AI, what is our validation process? Effective governance requires the creation of a "human-in-the-loop" framework, where AI serves as a co-pilot, but the final validation and accountability for the information's veracity remain with human experts.

3. Increased Fiduciary Responsibility: Who is Responsible for the AI Decision?

If an autonomous agent makes a resource allocation decision that results in losses, who is responsible? Modern governance requires a clear accountability framework for AI-augmented decisions. It is the board's responsibility to ensure this framework exists. At DG5 Intelligence, our consultative methodology helps build this new governance model.