Practical AI Governance
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€41.99
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
Category=KJD
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
eq_bestseller
eq_business-finance-law
eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_new_release
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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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 programs that encourage innovation and minimize 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.
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.
