Building Smarter, Safer, and More Responsible AI Programs

Building Smarter, Safer, and More Responsible AI Programs

As artificial intelligence becomes increasingly important across modern organizations, businesses need effective ways to encourage innovation while managing risk, accountability, regulatory requirements, and stakeholder expectations.

A Practical Approach to AI Governance

Practical AI Governance provides senior AI, technology, risk, and business leaders with a structured framework for establishing responsible AI oversight across complex organizations. The approach focuses on creating governance programs that can support innovation while strengthening accountability, resilience, and long-term enterprise trust.

The framework is designed to be adaptable, allowing organizations to right-size their governance approach according to their objectives, risk appetite, operating environment, and evolving business requirements.

What You Will Learn

Designed for Strategic Decision-Makers

Written by Shoshana Rosenberg, co-founder of Women in AI Governance, the book draws on practitioner expertise at the intersection of artificial intelligence, privacy, and enterprise risk.

The practical approach helps leaders assess their current governance capabilities, identify gaps, and develop strategies that are aligned with organizational priorities and risk conditions.

From Compliance to Continuous Governance

Rather than treating AI governance as a static compliance exercise, this guide emphasizes continuous oversight, practical implementation, and strategic decision-making.

With implementation guidance and diagnostic questions, readers can examine what existing compliance programs may overlook and develop a more informed approach to managing AI-related opportunities and risks.

Key Themes