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Human-in-the-Loop (HITL) and Trust-Centered AI Course Portfolio
"Human-in-the-Loop (HITL) and Trust-Centered AI Course Portfolio" offers a deep dive into system design strategies that preserve human authority in AI deployments. Explore how HITL frameworks enhance cybersecurity through active monitoring and intervention capabilities. The course presents case studies where HITL prevented AI system failures caused by adversarial attacks. By reinforcing trust and traceability, HITL ensures that critical decisions remain secure and auditable, especially in domains vulnerable to cyber-physical threats like defense and autonomous transportation.
Course Overview
None
Learning Objectives
- Understand the principles of Human-in-the-Loop (HITL) and trust-centered AI.
- Analyze the key components of a comprehensive HITL AI course portfolio.
- Evaluate the design and implementation of HITL systems for critical applications.
- Identify the challenges and opportunities in building trust in AI systems.
- Discuss the future trends and advancements in HITL AI.
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.