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🔴 Designing Governance Frameworks Aligned with ISO/IEC 42001 Standards
(A Practical Guide to Building Responsible, Compliant AI Governance)
📅 February 5 · 11 PM IST – Set Reminder ▶️

As organizations adopt AI at scale, the need for structured governance, accountability, and compliance has never been greater. ISO/IEC 42001—the world’s first international standard for AI management systems—provides a clear framework for building trustworthy, ethical, and well-governed AI practices across the enterprise.

This session offers a practical, step-by-step introduction to ISO/IEC 42001, helping leaders, practitioners, and governance teams understand how to implement AI governance that meets global standards.

Led by Vivek Menon, Corporate Trainer, the session focuses on real-world clarity, actionable guidance, and organizational readiness.

🔍 What you’ll learn:

1. Overview of ISO/IEC 42001 & Why It Matters
What ISO/IEC 42001 is and how it establishes an AI Management System (AIMS).
Why organizations need formal governance for AI—beyond technical controls.
Global trends pushing enterprises toward responsible AI, risk reduction, and transparency.
How the standard supports trust, accountability, and compliance.

2. AI Governance Framework & Compliance Requirements
Key governance components under ISO/IEC 42001:
• Leadership & accountability
• AI system lifecycle management
• Transparency & documentation controls
• Risk and impact assessments
• Data governance & model oversight
• Monitoring, auditability & continuous improvement
Understanding mandatory vs. recommended controls and processes.

3. Steps to Implement ISO/IEC 42001 in an Organization
A clear roadmap for building an AI governance system:
Step 1 → Define scope, objectives, and governance roles
Step 2 → Establish policies for ethical, safe, and compliant AI use
Step 3 → Conduct AI risk assessments and impact analysis
Step 4 → Implement lifecycle controls—design, data, deployment, monitoring
Step 5 → Build documentation, logging, and audit structures
Step 6 → Train teams and ensure organization-wide adoption
Step 7 → Perform internal assessments and prepare for certification
How to integrate governance with existing frameworks (ISO 27001, 9001, GDPR, etc.)

4. Real-World Scenarios
AI in HR decision-making
Customer service AI assistants
Predictive analytics and automated decision systems
How ISO/IEC 42001 reduces risks like bias, misuse, non-compliance, or safety failures.

5. Common Challenges & How to Overcome Them
Lack of clarity on AI ownership
Insufficient documentation
Shadow AI usage
Gaps in monitoring and retraining processes
Practical recommendations for sustainable governance.

6. Live Q&A and Applied Guidance
Ask questions about governance controls, compliance steps, audit readiness, and practical implementation challenges.

🎯 Who should attend?
AI governance & compliance teams
Cybersecurity and risk professionals
Data science & AI development teams
Leaders deploying AI systems in business operations
Anyone preparing their organization for ISO/IEC 42001 compliance

Speaker:
Vivek Menon
Corporate Trainer | Koenig Solutions Pvt. Ltd.

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🧠 If your organization wants to adopt AI responsibly—and meet emerging global standards—this session will give you the roadmap to build strong, compliant AI governance.
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