Practical AI Governance

<p><b>Design a scalable AI governance program that protects innovation, manages risk, and builds long-term enterprise trust.</b><br><b><br><i>Practical AI Governance</i></b> equips senior AI, technology, risk, and business leaders with a structured framework for embedding responsible AI oversight across complex organizations. As AI investment accelerates and regulatory scrutiny intensifies, this book outlines a proactive governance model designed to align innovation with accountability, resilience, and measurable business value.<br><br>Written by <b>Shoshana Rosenberg</b>, co-founder of Women in AI Governance, the book draws on deep practitioner expertise at the intersection of AI, privacy, and enterprise risk. This book gives practitioners the flexibility to right-size governance to the organizations goals, risk appetite, and operating conditions.<br><br>Youll learn how to:<br>- Design a program built on proactive engagement, centralized intelligence, and adaptive governance all driven by continuous monitoring <br>- Build on to existing risk, security, and compliance frameworks <br>- Establish continuous monitoring and accountability mechanisms<br>- Adapt to evolving regulatory and stakeholder expectations<br>- Direct investment toward what protects margins and strengthens competitive positions <br><br> With clear implementation, <b><i>Practical AI Governance</i></b> provides the strategic framework and the diagnostic questions that expose what current compliance programs cannot see.<br><br><b><i>Themes include:</i></b><i> AI governance, responsible AI, AI risk management, regulatory compliance, AI strategy</i></p>