NIST AI Risk Management Framework: Managing AI Risks

As artificial intelligence becomes central to modern business, managing its unique risks is no longer optional—it is a core requirement for responsible innovation. This text-based course introduces you to the NIST AI Risk Management Framework, providing a structured approach to identifying, measuring, and mitigating AI-related risks. By reading this course, you will understand how to cultivate trust, ensure safety, and align your organization’s AI initiatives with industry-standard risk management practices. You will transition from worrying about AI vulnerabilities to systematically managing them. What you'll learn: - Understand the core principles of the NIST AI Risk Management Framework and why trustworthy AI matters. - Identify and classify different types of AI risks, including bias, security vulnerabilities, and transparency issues. - Map, measure, manage, and govern AI risks effectively across your organization's lifecycle. - Apply the framework to modern generative AI applications and large language model deployments. - Establish a culture of risk awareness and responsible AI governance within your team. The course begins with essential definitions of AI risk and the foundational structure of the framework, before guiding you through the core functions: Govern, Map, Measure, and Manage. You will read practical scenarios and learn actionable strategies to implement these concepts in your daily workflows. This course is designed for beginners, including business leaders, project managers, and compliance professionals who want to understand AI risk management. No prior technical background or experience in AI development is required. Start reading today to build safer, more trustworthy AI systems for your organization.