AI & DATA GOVERNANCE

As AI and data technologies advance, organizations face complex risks, regulations, and ethical challenges. "Manage AI & Data Risk: Effective Strategies for Governing Information, Data & Artificial Intelligence" serves as a comprehensive guide for leaders, professionals, and policymakers to navigate AI's challenges while maintaining ethical and compliant data governance.

The book starts by explaining the fundamentals of AI, from machine learning to the evolving AI tech stack, offering readers insights into the development of AI and data science. It then explores the risks posed by AI systems and compares various global ethical frameworks for trustworthy AI use.

With a focus on regulatory landscapes like the EU's GDPR and the emerging EU AI Act, the guide provides an in-depth look at AI risk management frameworks to ensure compliance with current and future laws. It also breaks down the AI life cycle, offering practical insights on structuring, testing, and validating AI projects.

Actionable strategies are provided for responsible AI governance, including integrating AI risk management with operational risk strategies, establishing governance infrastructure, managing post-deployment systems, and addressing legal and auditing challenges.

"Manage AI & Data Risk" equips organizations to govern AI and data systems effectively, mitigate risks, ensure compliance, and build stakeholder trust—making it essential for business leaders, data scientists, risk managers, and policymakers.