Demystify AI decision-making with "Explainable AI and Trust in Machine Learning Essentials." Learn how to make AI models more transparent and trustworthy for stakeholders.
Learning Objectives
- Understand the importance of explainable AI.
- Learn techniques to enhance model transparency.
- Develop skills in interpreting machine learning outputs.
- Explore tools for building trust in AI systems.
- Create strategies to address biases in AI models.
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.