The NIST AI Risk Management Framework (AI RMF)

The “NIST AI Danger Administration Framework (AI RMF)” course is designed to equip professionals with the information and instruments wanted to navigate the complexities of AI threat administration successfully. This course delves into the NIST AI RMF, offering an intensive understanding of its ideas, capabilities, and sensible functions. College students will discover the MAP, MEASURE, and MANAGE capabilities, studying how one can determine, assess, and mitigate AI dangers all through the AI lifecycle.

Contributors will achieve insights into the significance of trustworthiness in AI methods, overlaying key traits reminiscent of validity, reliability, security, safety, resilience, accountability, transparency, explainability, interpretability, privateness enhancement, and equity. The course emphasizes the necessity for a holistic method to AI threat administration, integrating these traits to develop strong and reliable AI options.

By real-world examples and case research, together with HealthAI, college students will see the sensible software of the AI RMF in varied contexts. The course additionally covers the significance of continuous monitoring and enchancment, making certain that AI methods stay aligned with organizational targets and societal values as they evolve.

This course is right for AI practitioners, threat managers, knowledge scientists, and organizational leaders who’re concerned within the growth, deployment, or oversight of AI methods. No prior expertise with the NIST AI RMF is required, making it accessible to learners and beneficial to seasoned professionals alike. Be a part of us to grasp the artwork of AI threat administration and make sure the growth of protected, dependable, and moral AI methods.