Practical AI Governance

Manage the complexity of AI in any organization with this actionable guide to operationalizing AI governance, navigating regulatory challenges and future-proofing systems.

Shoshana Rosenberg is an attorney, technologist, and C-level executive who has spent more than two decades working at the intersection of technology risk, regulatory exposure, and strategic uncertainty, building and advising on the legal, technology, and governance programs that complex global organizations, regional firms, and business line leadership require to remain oriented as conditions change. A former US Navy engineer with a background in international development, she is co-founder of Women in AI Governance, founder of SafePorter, advisor to the Institute of Operational Privacy Design, and Strategic Programs Advisor to Logical AI Governance, where she built leadership and practitioner training and certification programs. She is based in New York, NY.

- - Chapter - 0: Foreword by Jules Polonetsky- Chapter - 00: Introduction;- Section - ONE: Foundations of holistic AI governance;- - Chapter - 01: Redefining AI governance;- Chapter - 02: The structural conditions;- Chapter - 03: The architecture of governance;- Chapter - 04: The condition for governance;- Chapter - 05: Strategy and oversight;- Chapter - 06: What only AI governance can see;- Chapter - 07: Proactive engagement - ensuring AI governance reflects operational reality;- Chapter - 08: Business intelligence as the key to adaptive governance- Section - TWO: PRISM: Grounding the practice of AI governance;- - Chapter - 09: Principles;- Chapter - 10: Responsibility - four domains;- Chapter - 11: Operationalizing responsibility;- Chapter - 12: Intelligence;- Chapter - 13: Security;- Chapter - 14: Monitoring;- Chapter - 15: Conclusion: Governance in motion