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🔴 ISO/IEC 42001 Basics: Build Responsible and Compliant AI Systems
📅 November 16, 2025 · 6 PM IST – Set Reminder ▶️

AI is advancing faster than ever — and organizations can no longer rely on experimentation alone. Responsible, auditable, and compliant AI systems are now a global requirement.
Join this comprehensive session to understand how ISO/IEC 42001, the world’s first AI Management System (AIMS) standard, helps organizations build trustworthy AI aligned with transparency, fairness, accountability, and societal wellbeing.

Led by expert trainer Vivek Menon, this session provides a strategic and practical walkthrough of AI governance, regulatory demands, core principles, implementation requirements, and real-world examples of what responsible AI truly looks like in 2025 and beyond.

🔍 What you’ll learn:
– Why AI governance matters now more than ever
– Global drivers: EU AI Act, OECD principles, NIST AI RMF, sector-specific regulations
– Why organizations must shift from experimentation to responsible AI operations

ISO/IEC 42001 Deep Dive:
– What ISO/IEC 42001 is and how it functions as an AI Management System
– Scope, objectives, and alignment with Annex SL
– Relationship with ISO 27001, 27701, 9001, and 23894

Core Principles of AI Governance:
– Fairness, non-discrimination, transparency, and explainability
– Data quality, model robustness, privacy, and security
– Human oversight, accountability, and societal impact

Key Requirements of ISO/IEC 42001:
– Organizational context and AI impact analysis
– Leadership responsibilities and AI governance roles
– AI-specific risk management and lifecycle controls
– Operational controls: data governance, documentation, monitoring, testing
– Incident handling: model drift, misuse, failures

AI Risk Management Essentials:
– AI risk vs traditional IT risk
– Bias, drift, hallucination, adversarial attacks
– Importance of continuous validation, monitoring, and explainability

Implementation Roadmap:
– Readiness assessment and gap analysis
– Policies, governance registers, and defined roles
– Documentation, KPIs, and internal audit cycles
– Certification pathway and expectations

Case Studies & Practical Insights:
– AI governance failures and what they teach us
– Industry best practices for trustworthy AI
– How organizations govern generative AI and LLM-powered systems

Perfect for AI teams, compliance professionals, data leaders, ML engineers, and organizations seeking to build safe, transparent, and regulation-ready AI systems.

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

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📅 Don’t miss this deep dive into ISO/IEC 42001 — and learn how to build AI systems that are responsible, compliant, and future-proof.
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