The Data Literacy Guide to AI Governance

The Data Literacy Guide to AI Governance breaks down the policies, roles, and controls that keep AI systems aligned with business goals, organizational values, and the regulatory environment they operate in.

Responsible by Design: Understanding AI Governance

Think of AI governance like the rules and referees of a game: without them, there's no guarantee it's being played fairly, or that anyone will want to play again. The Data Literacy Guide to AI Governance breaks down the policies, roles, and controls that keep AI systems aligned with business goals, organizational values, and the regulatory environment they operate in. By the end, you'll understand why no single team owns AI risk, and why effective governance depends on legal, data, IT, and business functions sharing accountability.

Purpose

To build a working understanding of AI governance as a business priority, not a compliance checkbox.

Outcome

  • Understand what AI governance is, and why it protects the value of AI investments, not just limits their risk
  • Learn why AI governance requires cross-functional collaboration, with no single owner
  • Recognize your own role in keeping AI use across your organization responsible

This Course Includes

  • An interactive, self-paced e-learning module (5–10 minutes)
  • Real-world scenarios and hands-on interactions: accordions, flashcards, and stepped processes built around the topic
  • A quick knowledge check to reinforce what you've learned

Access

This course is included in the full Data Literacy Guide (DLG) collection: one purchase gets you all available DLG courses, including any new releases, for a full year, only $99.

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