Strengthening AI Governance for Sustainable Business Success
Artificial Intelligence is transforming industries — but innovation must be matched with responsibility. Organizations deploying AI systems face increasing expectations regarding transparency, accountability, and risk management.
This DQS Academy training provides a structured introduction to Trustworthy AI and ISO/IEC 42001, the international standard for AI Management Systems (AIMS). Learn how structured AI governance can strengthen compliance readiness, reduce risks, and enhance stakeholder trust.
Why Trustworthy AI Matters
AI governance is becoming a strategic priority. Organizations must ensure that AI systems are:
- Transparent and accountable
- Risk-aware and controlled
- Aligned with regulatory expectations
- Integrated into existing management systems
A structured approach to AI governance helps transform complexity into clarity — and compliance into competitive strength.
Who should attend
This webinar is designed for professionals involved in decision-making, governance, and communication around AI, including:
- Executives and senior decision-makers responsible for AI strategy or governance
- Risk, Legal, Compliance, and Ethics leaders
- Marketing and Communications professionals responsible for building trust in AI-enabled products and services
- ESG and Sustainability teams aligning AI use with corporate values
- Organizations using AI in regulated or high-trust environments (e.g. finance, healthcare, mobility)
- Public-facing organizations concerned about reputational and trust-related AI risks
What You Will Learn
This training provides insight into:
- The principles of Trustworthy AI
- Structure and key requirements of ISO 42001
- Risk-based approaches to AI management
- Governance roles and responsibilities
- Interaction between ISO 42001 and emerging regulations (e.g., EU AI Act)
- Preparing for AI management system assessments
Participants gain the knowledge needed to evaluate and structure AI governance within their organization.
Auditors
