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Trustworthy AI and Human-Centric Oversight Essentials
"Trustworthy AI and Human-Centric Oversight Essentials" centers on building AI systems that are ethical, transparent, and aligned with human values. Participants examine risk assessment, explainability, and governance frameworks for AI implementation. In cybersecurity, trustworthy AI reduces the risk of malicious manipulation, algorithmic bias, and unauthorized data use. Human-centric oversight enhances security by ensuring AI actions are auditable, resilient to tampering, and aligned with regulatory standards and ethical cybersecurity practices.
Course Overview
None
Learning Objectives
- Understand the principles of trustworthy AI and human-centric oversight.
- Analyze the ethical and societal implications of AI in manufacturing.
- Evaluate the methods for ensuring transparency and accountability in AI systems.
- Identify the strategies for human-AI collaboration and oversight.
- Discuss the regulatory and compliance aspects of trustworthy 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.