From Responsible AI and Board Oversight to Enterprise GenAI, RAG, Agentic AI, Risk Management, and Regulatory Compliance
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Part 1: AI Governance Foundations
1. What is AI governance, and why is it important?
Answer:
AI governance is the organizational framework of policies, roles, processes, technical controls, and accountability mechanisms that ensures AI systems are developed, procured, deployed, monitored, and retired responsibly.
It aligns AI capabilities with business strategy, risk appetite, legal obligations, ethical values, and stakeholder expectations.
An effective AI governance framework covers five dimensions:
Strategic governance: Ensuring AI investments deliver measurable business value.
Risk governance: Identifying and mitigating operational, technical, security, and ethical risks.
Regulatory governance: Demonstrating compliance with applicable laws and standards.
Technical governance: Validating model quality, reliability, security, and performance.
