Get Trained as a Generative AI (GAI) Risk Management Professional
What is GAI?
“Class of AI models that emulate the structure and characteristics of input data in order to generate derived synthetic content. This can include images, videos, audio, text, and other digital content.” “An AI model that is trained on broad data; generally uses self-supervision; contains at least tens of billions of parameters; is applicable across a wide range of contexts.” EO 14110
Gain expertise in applying the AI RMF Generative AI Profile (NIST AI 600-1), a guidance to help your organization identify unique risks posed by generative AI and actions for generative AI risk management that best align with your organization’s goals and priorities. AI is the new GOLD!
Learning Objectives
1. Demonstrate knowledge of the lifecycle and key dimensions of an AI System.
2. Identify risks that are novel to, unique to, or exacerbated by the development and use of GAI and
be able to discuss and/or explain how AI risks differ from traditional software risks.
3. Demonstrate understanding of enhanced processes for governing, mapping, measuring, and
managing GAI risks and be able to discuss and/or explain these processes to users and
stakeholders.
4. Create and/or maintain GAI risk management documentation and track outcomes.
5. Improve your resume. Become a more marketability Risk Management Professional.
Framework Connections
The materials within this course focus on the NICE Framework Task, Knowledge, and Skill statements identified within the indicated NICE Framework component(s):
Competency Areas
Feedback
If you would like to provide feedback on this course, please e-mail the NICCS team at NICCS@mail.cisa.dhs.gov. Please keep in mind that NICCS does not own this course or accept payment for course entry. If you have questions related to the details of this course, such as cost, prerequisites, how to register, etc., please contact the course training provider directly. You can find course training provider contact information by following the link that says “Visit course page for more information...” on this page.