NIST AI Risk Management Framework (RMF) Masterclass

Overview

The NIST AI Risk Management Framework (RMF) Masterclass is an essential course for professionals navigating the complex landscape of AI risk management. With the rapid integration of artificial intelligence into various business sectors, understanding and managing the unique risks associated with these technologies is crucial.

This course offers an in-depth exploration of the National Institute of Standards and Technology's AI Risk Management Framework (AI RMF), providing practical insights for its application in corporate environments.

Syllabus

• Introduction to AI Risk Management
Overview of AI in Business Contexts
Importance of Risk Management in AI
• Overview of the NIST AI RMF
Historical Context and Development
Core Objectives and Principles
• Understanding AI Risks
Types of AI Risks
Identifying and Assessing Risks in AI Systems
• NIST AI Risk Management Framework Components
Governing the AI Risks
Mapping Risks in AI Processes
Measuring and Analyzing AI Risks
Managing AI Risks
• Applying the AI RMF in Corporate Environments
Case Studies and Practical Applications
Developing an AI Risk Management Strategy
• Tools and Techniques for AI RMF Implementation
Frameworks and Methodologies
Technology Solutions and Tools
• Best Practices for AI RMF
Effective Communication of AI Risks
Continuous Improvement and Adaptation
• Ethical and Legal Considerations in AI Risk Management
Balancing Innovation and Regulation
Ensuring Compliance and Ethical Standards
• Final Project
Develop and Present an AI Risk Management Plan
• Conclusion and Future Trends
Emerging Trends in AI Risk Management
Preparing for Future Challenges in AI Technologies

Taught by

Taimur Ijlal | Award winning cybersecurity leader and instructor

Subjects

Business