Practical AI Governance: Building a Program for Oversight and Strategy: Building a Program for Strategy and Oversight - Softcover
Inhaltsangabe
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.
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Über die Autorin bzw. den Autor
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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Paperback. Zustand: new. Paperback. 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. Manage the complexity of AI in any organization with this actionable guide to operationalizing AI governance, navigating regulatory challenges and future-proofing systems. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Bestandsnummer des Verkäufers 9781398626201
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Paperback. Zustand: New. 1st. Design a scalable AI governance program that protects innovation, manages risk, and builds long-term enterprise trust.Practical AI Governance 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.Written by Shoshana Rosenberg, 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 organization's goals, risk appetite, and operating conditions.You'll learn how to:- Design a program built on proactive engagement, centralized intelligence, and adaptive governance all driven by continuous monitoring - Build on to existing risk, security, and compliance frameworks - Establish continuous monitoring and accountability mechanisms- Adapt to evolving regulatory and stakeholder expectations- Direct investment toward what protects margins and strengthens competitive positions With clear implementation, Practical AI Governance provides the strategic framework and the diagnostic questions that expose what current compliance programs cannot see.Themes include: AI governance, responsible AI, AI risk management, regulatory compliance, AI strategy. Bestandsnummer des Verkäufers LU-9781398626201
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Practical AI Governance
Verlag:
Kogan Page Ltd, GB, 2026
ISBN 10: 1398626201
ISBN 13: 9781398626201
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Paperback. Zustand: New. 1st. Design a scalable AI governance program that protects innovation, manages risk, and builds long-term enterprise trust.Practical AI Governance 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.Written by Shoshana Rosenberg, 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 organization's goals, risk appetite, and operating conditions.You'll learn how to:- Design a program built on proactive engagement, centralized intelligence, and adaptive governance all driven by continuous monitoring - Build on to existing risk, security, and compliance frameworks - Establish continuous monitoring and accountability mechanisms- Adapt to evolving regulatory and stakeholder expectations- Direct investment toward what protects margins and strengthens competitive positions With clear implementation, Practical AI Governance provides the strategic framework and the diagnostic questions that expose what current compliance programs cannot see.Themes include: AI governance, responsible AI, AI risk management, regulatory compliance, AI strategy. Bestandsnummer des Verkäufers LU-9781398626201
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