An Introduction to the NIST AI Risk Maturity Framework

Participants attending this training on the NIST AI Risk Maturity Framework learn several key aspects of managing AI risks effectively:

1. Governance Framework for AI: They will understand how to establish clear policies and procedures for managing AI risks, assign roles and responsibilities, and ensure compliance with legal and regulatory requirements1.
2. Risk Management: They will learn how to operationalize policies, procedures, and controls to manage AI risks, including regular risk assessments, risk mitigation strategies, and monitoring of risk indicators2.
3. Mapping and Measuring AI Risks: Participants will gain insights into identifying and assessing AI risks, ensuring that controls are in place to manage those risks effectively, and tracking relevant metrics for continuous improvement3
4. Ethical and Transparent AI Deployment: They will explore the importance of transparency, explainability, and ethical considerations in AI systems, including addressing issues related to bias, privacy, and fairness4.
5. Stakeholder Engagement: The training will emphasize the need for engaging with stakeholders to collect feedback regarding the societal impacts of AI risks and prioritize actions accordingly5.

By the end of the training, participants will be equipped with the knowledge and tools to enhance their organization’s AI governance and ensure responsible, ethical, and transparent AI deployment.

Course Key Concepts. AI Risk, AI RMF, AI Security, AI Compliance.