In this bootcamp session, Prabh Nair breaks down ISO/IEC 42001 and the practical reality of AI governance inside organizations.
If you are trying to implement an AI Management System (AIMS), this session walks you through the governance principles, the clause structure, the documentation mindset, and how to run AI risk assessments and impact assessments in a way that stands up to audits. We move beyond the theory and look at how to define roles, whether you are an AI provider, producer, or customer; and how to build a Project Charter that scales.
Watch the full episode on YouTube: https://www.youtube.com/watch?v=jhQRtCO_5n0
🔍 What You’ll Learn:
Foundations of AI Governance: Why governance is non-negotiable in the age of bias, misinformation, and misuse.
The 5 Core Principles: A deep dive into Accountability, Transparency, Fairness, Safety, and Balanced Innovation.
ISO/IEC 42001 Structure: Navigating the mandatory clauses (4–10), the 38 Annex A controls, and the PDCA (Plan-Do-Check-Act) cycle.
The 4 Implementation Phases:
1. Gap Analysis: Identifying what you lack.
2. Planning: Setting objectives and scope.
3. Implementation: Putting controls into action.
4. Verification: Internal audits and readiness checks.
Defining Your AI Role: Are you an AI Provider, Producer, Customer, or Partner? Understanding your duties within the AI ecosystem.
Risk vs. Impact Assessments: * AI Risk Assessment: Focuses on internal business risks (likelihood/impact).
AI System Impact Assessment (AIIA): Focuses on external harm to individuals and society.
Audit Readiness: Creating a robust Statement of Applicability (SoA), managing version control, and ensuring team competence.
🎧 Governance isn't about stopping innovation; it's about building a 'trust engine'. ISO 42001 provides the blueprint to ensure your AI isn't just powerful but responsible and auditable.
