AI has the power to scale innovation at breakneck speed—but without a steering wheel, it can scale risk just as fast. Enter ISO/IEC 42001:2023, the world’s first international standard for Artificial Intelligence Management Systems (AIMS). As organizations move from AI experimentation to full-scale production, this standard provides the essential framework for deploying AI that is not only powerful but also responsible, secure, and ethical.

In this episode, we simplify the complexities of AI governance. We explore how to manage unique AI risks like algorithmic bias, model drift, and opaque decision-making using the proven "Plan-Do-Check-Act" (PDCA) approach. Whether you are a business leader, a developer, or a compliance officer, learn how to turn high-level ethics into operational reality.

🤖 What You’ll Learn:

• The AI Governance Gap: Why high-level "ethics statements" aren't enough and how ISO 42001 converts vague principles into actionable controls.

• Managing AI-Specific Risks: A deep dive into identifying and mitigating hallucinations, bias, and data privacy threats within the AI lifecycle.

• The AIMS Framework: Understanding the 10 core clauses of ISO 42001 and how they integrate with existing standards like ISO 27001.

• The Role of the Lead Implementer: Meet the "Architect of Trust"—the professional responsible for designing, managing, and auditing the organization's AI strategy.

• Certification & Trust: How achieving ISO 42001 certification acts as a "Gold Standard" signal to regulators, customers, and investors.

• Operational Excellence: Using AI Impact Assessments (AIIA) to ensure your models align with societal values and legal requirements like the EU AI Act.

🎧 Tune in to discover how to build an AI strategy that scales with confidence and earns the trust of a global market.