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AI Limitations and Failures Fundamentals: When to Say No
"AI Limitations and Failures Fundamentals: When to Say No" teaches when and why AI should not be used in decision-making. Participants analyze case studies of AI failures and learn frameworks to evaluate suitability. In cybersecurity, this knowledge is vital to avoid reliance on AI tools in edge cases or adversarial conditions. The course enables professionals to apply discretion and ensure robust defenses by understanding where AI may falter or introduce vulnerabilities.
Course Overview
None
Learning Objectives
- Understand the limitations and failures of AI systems.
- Analyze the scenarios where AI systems can fail.
- Evaluate methods for identifying and mitigating AI limitations.
- Identify the critical decision points where human intervention is necessary.
- Discuss the ethical implications of AI limitations and failures.
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.