Lead AI Risk Manager

Audience
The course is suitable for employees, managers and decision makers in companies that adopt, develop or manage artificial intelligence systems. It is relevant for IT and security officers, data engineers, AI developers, compliance and risk management officers, legal/ethical advisors as well as consultants and managers to ensure that AI use is in line with laws, ethics and internal governance.

Learning objectives
Participants will gain in-depth insight into the principles and frameworks of risk management related to AI. They will learn how to identify, analyze and assess AI risks such as bias, security and vulnerability threats, transparency and transparency issues, as well as ethical and regulatory challenges. They should be able to use frameworks such as the NIST AI Risk Management Framework and the EU AI Act to establish management and risk programs, develop and implement risk mitigation measures, preparedness and incident management, and plan for continuous monitoring and improvement.

After completing the course you will be able to

• Understand and explain basic principles of AI risk management and relevant frameworks
• Identify and assess risks associated with AI systems, including bias, security, transparency and ethics
• Develop and implement strategies and measures to reduce and manage AI risks
• Establish and lead the management and risk management program for AI in the organization
• Ensure that AI use and AI projects comply with regulations, ethics and internal governance
• Communicate AI risks and necessary actions to management and stakeholders