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AI Trust Calibration Workshop
The "AI Trust Calibration Workshop" explores how humans develop, calibrate, and maintain appropriate levels of trust in AI systems. Participants will learn strategies to balance under-trust and over-reliance, which are critical in high-stakes environments like defense and cybersecurity. By mastering trust calibration, organizations can better manage AI decision-making under uncertainty, reducing risks of blind compliance or operator disengagement. This training equips cybersecurity teams to better evaluate AI-generated alerts, ensuring optimal human-machine collaboration and reducing false positives and missed threats in security operations.
Course Overview
None
Learning Objectives
- Understand the principles of AI trust calibration.
- Analyze the factors influencing AI trust in different applications.
- Evaluate methods for calibrating AI trust based on context and user needs.
- Identify techniques for measuring and monitoring AI trust levels.
- Apply practical strategies for improving AI trust calibration.
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.