"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.
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The materials within this course focus on the NICE Framework Task, Knowledge, and Skill statements identified within the indicated NICE Framework component(s):
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