Still Unsure What ISO/IEC 42001 Covers? (This Guide Explains It Clearly)

🔴 Still Unsure What ISO/IEC 42001 Covers? (This Guide Explains It Clearly)
📅 December 9 · 5 PM IST – Set Reminder ▶️

AI adoption is accelerating — but so are concerns around bias, fairness, explainability, and trust. ISO/IEC 42001 is emerging as the global framework that helps organizations build responsible, transparent, and accountable AI systems. This session breaks down the core ideas behind trustworthy AI by helping you understand bias, explainability, and fairness in a practical, easy-to-apply way.

In this 1.5-hour session, you’ll explore the foundational concepts that ISO/IEC 42001 focuses on: identifying bias in the AI lifecycle, understanding how Explainable AI works, integrating fairness principles, and ultimately creating AI systems leaders and users can trust.

Led by Shruti Chhabra, this session is perfect for AI practitioners, business leaders, data teams, and anyone preparing to align their AI initiatives with ISO/IEC 42001.

🔍 What you’ll learn:

Exposing Bias in the AI Pipeline
Where bias originates (data, models, assumptions, human decisions) and how to surface it early.

Demystifying Explainable AI (XAI)
Simple explanations of how XAI works, why transparency matters, and how ISO 42001 emphasizes interpretability.

Building Fairness into AI Systems
Techniques, governance guidelines, and practical workflows to reduce unfair outcomes and maintain ethical integrity.

From Bias Busting to Trustworthy AI
How organizations move from awareness to action: policies, controls, audits, and leadership responsibilities aligned with ISO/IEC 42001.

Perfect for anyone who wants to understand the real purpose of ISO/IEC 42001 and build AI systems that are safe, fair, and trustworthy — not just compliant.

Speaker:
Shruti Chhabra
Corporate Trainer | Koenig Solutions Pvt. Ltd.

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🤖 If you want clarity on responsible AI — and how ISO/IEC 42001 helps you build it — this session is your definitive starting point.
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