Directors and leaders

AI Governance for Directors and Business Leaders

Directors and senior leaders do not need to be AI engineers. They do need enough AI literacy to oversee risk, strategy, accountability and human impact.

Leadership oversight

Leaders need visibility, reporting and risk appetite.

AI governance should form part of ordinary oversight of risk, privacy, cyber security, data governance, culture, compliance and performance.

Business dashboard data representing reporting for AI governance oversight.
What leaders should oversee

Key AI governance questions for leadership.

Current AI use

Where is AI being used, including third-party tools and embedded AI features?

Business value

How does AI support strategy, service quality, productivity or innovation?

Risk appetite

Which uses are acceptable, restricted or not permitted?

High-impact use

Which AI systems affect people, services, employment, safety, rights or reputation?

Controls

Are privacy, data, cyber security, procurement and human review controls working?

Reporting

Do leaders see AI performance, incidents, benefits, issues and emerging risks?

Board-level call to action

AI should be governed as both opportunity and risk.

Ask for an AI inventory, clear accountability, high-risk use reporting, incident reporting and evidence that employees and affected stakeholders have been considered.