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Decision Fatigue in Humans vs. AI’s Overconfidence Fundamentals

"Decision Fatigue in Humans vs. AI’s Overconfidence Fundamentals" contrasts human decision fatigue with AI’s tendency to make overconfident predictions. Participants learn to build systems that compensate for each side’s weaknesses. In cybersecurity, understanding these cognitive biases is key to improving alert triage and automated defense systems. The course helps teams avoid over-reliance on AI and supports balanced judgment in the face of complex security threats.

Provider Information

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Contact Information

Tonex, Inc.
6275 W. Plano Parkway, Suite 500
Plano, TX 75093

Course Overview

Overall Proficiency Level
2 - Intermediate
Course Catalog Number
T101
Course Prerequisites

None

Training Purpose
Functional Development
Management Development
Specific Audience
All
Delivery Method
Online, Instructor-Led
  • Online, Instructor-Led

Learning Objectives

  • Understand the concepts of decision fatigue in humans and overconfidence in AI.
  • Analyze the cognitive differences between human and AI decision-making.
  • Evaluate the risks associated with AI overconfidence.
  • Identify strategies for mitigating decision fatigue and AI overconfidence.
  • Discuss the implications of these factors on human-AI collaboration.

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):

Feedback

If you would like to provide feedback on this course, please e-mail the NICCS team at NICCS@mail.cisa.dhs.gov(link sends email). 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.

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