- Shows senior tech, AI and business leaders how to build a tailored AI governance program that works for their organization and balances innovation and risk
- Explains how proactive engagement, centralized intelligence, adaptive governance and continuous monitoring form the building blocks of AI governance
- Demonstrates how to align AI strategies with stakeholder needs, technology trends and risk and innovation appetite
- Offers tools and frameworks such as PRISM that can be adapted to any organization
- Includes real-world examples of organizations across multiple industries that are getting AI governance right
Practical AI Governance
Building a Program for Oversight and Strategy
Manage the complexity of AI in any organization with this actionable guide to operationalizing AI governance, navigating regulatory challenges and future-proofing systems.
Key features at a glance
EAN: 9781398626201
Edition: 1
Published:
Format: 234x156
296 pages
About the book
Organizations of all sizes are increasing their investment in AI products, tools and developments. However, these transformative technologies come with significant risks and challenges. This actionable guide builds scalable and practical AI governance program that encourages innovation and minimizes risks.
Practical AI Governance will show senior AI, tech and businesses leaders how to design an AI governance program built on proactive engagement, centralized intelligence and adaptive governance, all driven by continuous monitoring. Providing a strategic oversight structure to evaluate and implement AI governance, the book covers the building blocks to creating an AI governance program, the necessary structures and tools for oversight and how to future proof an organization's efforts.
Suitable for any business, this book will demonstrate how to align AI strategies with the needs of multiple stakeholders, the changing regulatory environment, technological trends and an organization's innovation and risk appetite. It explains how to embed AI governance in existing cybersecurity and risk management frameworks and scale AI governance across an organization. Going beyond traditional compliance checklists, it instead offers a logical and holistic approach to governance.
About the authors
Shoshana Rosenberg is an experienced AI governance thought leader and practitioner. She is the Chief AI Governance and Privacy Officer at WSP. She is the co-founder of the organization Women in AI Governance which works to advance equity in AI policy and leadership and is the founder of SafePorter, an award-winning SaaS data minimization solution. Shoshana Rosenberg is an advisor to the Institute of Operational Privacy by Design and is based in New York, NY.
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