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Human Judgment in AI-Augmented Decision Making Training
Explore how human reasoning can complement AI decisions in "Human Judgment in AI-Augmented Decision Making Training." Understand the cognitive models that govern human oversight in autonomous and semi-autonomous systems. Cybersecurity benefits when human-in-the-loop designs help catch anomalies or data manipulations that AI might miss. This course underscores the role of human judgment in flagging suspicious patterns, validating outcomes, and ensuring trustworthy AI behavior across sectors like defense, finance, and healthcare where cybersecurity breaches can be catastrophic.
Course Overview
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Learning Objectives
- Understand the role of human judgment in AI-augmented decision-making.
- Analyze the challenges and opportunities of integrating human judgment with AI.
- Evaluate the impact of AI on human decision-making processes.
- Identify the factors influencing human trust and acceptance of AI recommendations.
- Discuss the ethical considerations in AI-augmented decision support systems.
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.