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This course offers a deep dive into ISO/IEC 42001, the world’s first international standard designed specifically for AI Management Systems (AIMS). As organizations increasingly adopt AI technologies, the need for structured governance becomes crucial to ensure AI is managed in a responsible and ethical manner. Through this course, participants will learn the foundational principles of ISO/IEC 42001, equipping them with the tools needed to govern AI effectively in both business and regulatory contexts.
The course provides participants with a comprehensive overview, guiding them through the nuances of AI governance. Key topics include the establishment of governance structures, the importance of ethical principles, and the roles and responsibilities affiliated with AIMS. With a risk-based approach, learners will also cover essential aspects of AI risk management – from identification to evaluation and treatment – ensuring that they can safeguard their organizations against potential AI-related risks.
In addition, the course offers practical strategies on how to integrate ISO/IEC 42001 within existing management frameworks, aligning AI initiatives with organizational goals. Participants will also explore compliance with upcoming regulations such as the EU AI Act, learning to leverage real-world examples and tools that facilitate the implementation of effective AI governance. By the end of this course, learners will be prepared to design, implement, and continuously improve their own AI Management Systems, fostering responsible AI practices throughout their organizations.
What you will learn:
- Understand the principles and requirements of ISO/IEC 42001
- Implement AI governance frameworks within your organization
- Manage AI risks effectively and ensure compliance with regulations
Course Content:
- Sections: 5
- Lectures: 20
- Duration: 10 hours
Requirements:
- Business Basic Knowledge
- AI Tools Basic Knowledge
Who is it for?
- AI governance, compliance, risk, and ethics professionals
- Managers, team leaders, and decision-makers responsible for AI strategy
- Risk management, enterprise risk, internal audit, and compliance professionals
- IT, data, AI, and digital transformation professionals
- Quality, information security, and management system professionals
- Consultants and advisors supporting organizations in AI governance
- Legal, regulatory, and policy professionals working on AI compliance
- Executives and business owners who need a practical understanding of AI governance
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