Class 1: Tuesday, January 28, 2025 from 9:00 AM to 4:00 PM

Class 2: Tuesday, February 25, 2025 from 9:00 AM to 4:00 PM

All classes will be held from 9:00 AM to 4:00 PM
Breakfast and registration will take place half an hour before the start. 

The location for all classes is Hotel D'Angleterre (Kongens Nytorv 34, 1050 København)

Target Audience:

This Master Class is designed for senior professionals who will be responsible for overseeing and managing AI risk within their organizations. This could include Chief Risk Officers (CROs), Chief Technology Officers (CTOs), Chief Data Officers (CDOs), or AI program leaders.

Prerequisites:

• Completion of all six core classes (Classes 1-6) offered by the AI Risk Management Academy is required. These core classes provide foundational knowledge in key AI risk management areas, including:
• The AI regulatory landscape
• AI governance and risk management readiness
• Fairness, explainability, security, safety, and privacy risks in AI
• Reliability, performance, and robustness of AI systems
• Conformity assessments and audit readiness for AI systems

Master Class Description:

This Master Class delves into the critical role of the Chief AI Risk Officer (CAIRO) within an organization.  Attendees will gain a comprehensive understanding of the CAIRO’s responsibilities, including:

• Developing and implementing an enterprise-wide AI risk management strategy.
• Overseeing the identification, assessment, and mitigation of AI risks.
• Establishing a robust AI governance framework.
• Ensuring compliance with relevant AI regulations.
• Collaborating with key stakeholders across the organization to promote responsible AI development and deployment.

The Master Class will also explore the day-to-day activities of a CAIRO, including real-life interaction scenarios  to  illustrate  the CAIRO’s  role  in  practice.  Attendees will gain insights into how to effectively communicate AI risks to senior management and how to position the CAIRO function as a value driver within the organization.

Value for Attendees:

• Gain a comprehensive understanding of the CAIRO role and its critical importance in managing AI risk.
• Learn how to develop and implement an effective AI risk management strategy.
• Develop the skills necessary to communicate AI risks effectively to senior management.
• Benchmark against best practices in AI risk management and governance.

Target Audience:

This Master Class is designed for professionals who will be involved in conducting AI risk assessments within their organizations. This could include risk managers, data scientists, AI developers, and IT security professionals.

Prerequisites:

• Completion of all six core classes (Classes 1-6) offered by the AI Risk Management Academy is required.
• These core classes provide foundational knowledge in key AI risk management areas, as specified in the prerequisites for Master Class 1.

Master Class Description:

This Master Class provides practical guidance on conducting effective AI risk assessments. Attendees will learn about the different types of AI risk assessments and how to select the appropriate methodology for their specific needs.  The class will cover  key considerations for  identifying, assessing, and prioritizing AI risks  in a group setting.

The Master Class will also explore real-world use cases for applying risk assessments to different types of AI models,  including high-risk models  and Large Language Models (LLMs).  Attendees will gain hands-on experience  using a risk register  to  document  identified  AI risks  and  develop  risk treatment plans.

Value for Attendees:

• Gain practical skills to conduct effective AI risk assessments.
• Learn how to select the appropriate AI risk assessment methodology.
• Develop the ability to identify, assess, and prioritize AI risks in a group setting.
• Receive a time-limited access to Grace, a risk management tool, to facilitate collaboration in sharing risk assessment information across teams.

After completing this course, you will automatically receive a digital course certificate directly in your inbox.

Learn more about Dansk Erhverv's digital course certificates here. 

Participants understand and agree that refunds will not be issued for missed classes, including those missed due to illness or other personal reasons. It is understood that missed classes cannot be rescheduled.