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AI Trust, Transparency, and Ethical Decision-Making Essentials
"AI Trust, Transparency, and Ethical Decision-Making Essentials" provides a foundation in responsible AI system design, focusing on interpretability, transparency, and fairness. Learners will understand how to build systems that support ethical decisions, with clear communication of AI rationale. In cybersecurity, transparent AI enhances explainability in intrusion detection, fraud monitoring, and threat prioritization, allowing security professionals to trust and verify system outputs. The course helps mitigate AI bias while enabling security analysts to maintain control over complex automated environments.
Provider Information
Tonex, Inc.
6275 W. Plano Parkway, Suite 500
Plano, TX 75093
Course Overview
None
Learning Objectives
- Understand the concepts of AI trust, transparency, and ethical decision-making.
- Analyze ethical frameworks for AI development and deployment.
- Evaluate methods for ensuring AI transparency and explainability.
- Identify strategies for building trustworthy AI systems.
- Discuss the impact of ethical considerations on AI adoption.
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.