Official websites use .gov
A .gov website belongs to an official government organization in the United States.
Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.
Human Factors and Cognitive Load in AI Systems Training
"Human Factors and Cognitive Load in AI Systems Training" examines how AI can either support or overload human operators. Learn to evaluate system design through the lens of user cognition and task complexity. In cybersecurity, overburdened operators are more prone to errors that can be exploited by threat actors. This course highlights how poorly designed AI interfaces increase risk exposure, especially in high-stakes environments. Learn strategies to design systems that balance automation with human control to enhance cyber resilience and response efficacy.
Course Overview
None
Learning Objectives
- Understand the principles of human factors and cognitive load in AI systems.
- Analyze the impact of AI on human performance and decision-making.
- Evaluate the design considerations for minimizing cognitive load in AI interfaces.
- Identify the factors influencing human trust and interaction with AI.
- Discuss the importance of user-centered design in AI system development.
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.