02 Giu ISO/IEC 42001:2023

Course Name

ISO 42001 Lead Auditor – Governance and Artificial Intelligence Management (AIMS)

Course Description

The HRV.SWISS ISO 42001 Lead Auditor course, accredited by Swiss Approval, focuses on the first international standard dedicated to AI Management Systems. In a fast-paced technological landscape, the challenge for companies is not just to adopt AI, but to do so ethically, securely, and responsibly.

The program guides you through the AIMS requirements, providing tools to audit technical compliance, algorithm transparency, and bias management. Prepare to become a pioneer in AI governance, bridging international best practices with business needs while ensuring stakeholder trust and alignment with new regulatory frameworks (such as the EU AI Act).

Course Objectives

By the end of the course, you will be able to:

  • Master ISO 42001 requirements to implement and audit an AI management system.
  • Evaluate AI-specific risks, including fairness, explainability, and data security.
  • Conduct third-party audits to verify that the organization’s AI systems are trustworthy and compliant.
  • Integrate AI governance into existing management systems, promoting responsible innovation.

Course Format & Exam Score

  • Methodology: Hybrid E-Learning (Live interactive sessions with AI experts and Lead Auditors + asynchronous deep-dives).
  • Exam: Final examination managed by HRV.SWISS Sagl with methods and logistics to be agreed upon based on the learners’ needs (under license from Swiss Approval International Inspection & Certification Body).
  • Certification: Internationally recognized “ISO 42001 Lead Auditor” certificate, the new frontier for tech compliance professionals.
  • Quality & Method: Course delivered under ISO 21001 and ISO 21002 standards for an excellent educational experience.

Target Audience

AI Managers, Chief Technology Officers (CTO), Data Protection Officers (DPO), IT consultants, compliance professionals, and auditors wishing to specialize in the decade’s most promising technological sector.

Course Duration

40 hours (intensive training focusing on real-world AI implementation scenarios).

Tasks

Risk analysis of algorithms from an ethical perspective, audit simulations on machine learning case studies, drafting AI risk mitigation plans, and technical/regulatory knowledge verification tests.

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