Practical AI Governance

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A01=Shoshana Rosenberg
AI and data protection
AI and organizational accountability
AI assurance and accountability
AI assurance and auditing
AI assurance frameworks and models
AI decision-making frameworks
AI ethics and compliance
AI ethics for corporate leaders
AI governance
AI governance certification and best practice
AI governance for regulated industries
AI governance frameworks
AI governance in corporate strategy
AI governance maturity model
AI leadership and risk oversight
AI lifecycle management
AI oversight and control
AI policy and regulation
AI readiness for business leaders
AI regulation and international standards
AI regulations
AI risk frameworks for executives
AI risk management
AI safety
AI standards and certification
AI strategy for executives
algorithmic accountability and fairness
and compliance (GRC)
artificial intelligence
artificial intelligence governance playbook
artificial intelligence policy
Author_Shoshana Rosenberg
board-level AI strategy
business governance in the age of AI
C-suite AI leadership
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Category=KJG
Category=KJR
Category=UYQ
compliance
compliance and governance best practice
compliance leadership in AI
corporate AI governance
corporate ethics
corporate governance
corporate governance and AI strategy
Daniel Solove
data ethics and governance
digital ethics in enterprise AI
digital responsibility and accountability
enterprise AI compliance
enterprise AI leadership and accountability
enterprise risk and AI implementation
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eq_business-finance-law
eq_computing
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eq_nobargain
eq_non-fiction
ethical AI
ethical AI implementation
ethical innovation and digital transformation
ethical technology governance
governance
governance for data-driven organizations
governance for machine learning systems
governance of emerging technologies
human oversight in AI systems
Jules Polonetsky
Kogan Page
Kogan Page professional title
machine learning
managing AI risks
managing ethical AI transformation
operationalizing responsible AI
Practical AI Governance
privacy
regulatory compliance in AI
responsible AI
responsible AI adoption
responsible AI by design
responsible AI frameworks
responsible innovation management
responsible technology management
risk
senior executive AI guide
Shoshana Rosenburg
strategic governance for digital transformation
technology governance for senior leaders
transparency and explainability in AI
trust and transparency in AI
trustworthy and transparent AI systems

Product details

  • ISBN 9781398626201
  • Weight: 666g
  • Dimensions: 156 x 234mm
  • Publication Date: 03 May 2026
  • Publisher: Kogan Page Ltd
  • Publication City/Country: GB
  • Product Form: Paperback
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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

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.

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