The GenAI/LLM Fairness Workshop is centered on fairness, bias, and ethical considerations in Generative AI and Large Language Models (LLMs).
Learning Objectives
- Understand fairness principles in Generative AI and LLMs.
- Identify bias risks and mitigation strategies in AI systems.
- Implement fairness measures in AI model development.
- Evaluate the impact of fairness practices on AI outcomes.
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.