Implementing the NIST AI RMF, AI Risk Management
What you will learn
How to practically and theoritically appy the NIST AI RMF.
How to use The NIST AI RMF Playbook for managing risks associated with AI Systems.
How to Frame Risk in association with AI systems.
A detail understanding of all the elements of the NIST AI RMF as presented by the NIST Publication.
Using Google SAIF to Conduct a Practical AI Risk Self Assessment
Why take this course?
π Management of AI Risk – Implementing the NIST AI RMF π€
In today’s rapidly evolving digital landscape, where AI systems are becoming integral to business operations and strategic planning, it’s crucial to have a solid grasp of how to effectively manage associated risks. Our online course, “Management of AI Risk-Implementing the NIST AI RMF,” is designed to provide you with an in-depth understanding of the National Institute of Standards and Technology (NIST) framework for managing AI risks.
Why Take This Course?
β Comprehensive Coverage: We take you through every aspect of the NIST AI RMF, from foundational concepts to practical application, ensuring you understand each component word for word as outlined in the NIST AI-100-1 publication.
β Expert Insights: Our course is structured around the key areas as recommended by NIST, including a detailed examination of the AI Risks and Trustworthiness and an exploration of the Core and Profiles of the framework.
β Real-World Application: Learn how to apply the NIST AI RMF through a step-by-step roadmap, implementation playbook, and case scenarios. The course also includes comprehensive walkthroughs of appendix documents and the list of tables from the publication, giving you all the tools needed for successful risk management in your AI endeavors.
Course Highlights:
π Part 1: Foundational Information
- Framing Risk: Dive into understanding risks, impacts, and harms associated with AI systems, and learn how to address them effectively.
- Audience: Tailor risk management practices according to the audience you’re addressing.
- AI Risks and Trustworthiness: Ensure that your AI systems are not just functional but also safe, secure, resilient, accountable, transparent, explainable, interpretable, privacy-enhanced, and fair with harmful biases managed.
π Part 2: Core and Profiles
- AI RMF Core: Master the Govern, Map, Measure, and Manage processes that are essential for implementing the AI RMF.
- AI RMF Profiles: Learn how to adapt the NIST AI RMF to fit the specific needs of your organization.
π Appendix Documents and Tables Walkthrough
- Gain clarity on the additional resources provided in the NIST publication, with a detailed explanation of each document and table.
π οΈ Implementation Guide
- Follow our implementation roadmap, playbook, and case scenarios to apply what you’ve learned effectively within your organization.
- Utilize crosswalk documents for guidance on developing the NIST AI RMF tailored to your needs.
By completing this course, you will be well-equipped with the knowledge of how to identify, assess, and mitigate the risks associated with AI systems, ensuring that your organization can leverage AI technology confidently and responsibly. Join us on this journey to harness the power of AI while safeguarding against its potential risks! π
Enroll now and take a proactive stance in managing AI risk within your organization by adhering to the NIST AI RMF guidelines. Your role in shaping the future of AI is critical, and this course is the perfect starting point. Let’s navigate the complexities of AI risk management together! ππ©βπ»π§