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AI Fail-Safe Design and Fallback Strategies Training
"AI Fail-Safe Design and Fallback Strategies Training" teaches how to design AI systems that can safely fail and revert to manual control when needed. Learn to anticipate edge cases and prevent system collapse under uncertainty. Cybersecurity considerations include maintaining system integrity during cyber-attacks that trigger fail-safes. Participants gain skills in developing fallback protocols that preserve control and safety in adversarial environments.
Course Overview
None
Learning Objectives
- Understand the principles of AI fail-safe design and fallback strategies.
- Analyze the potential failure modes of AI systems.
- Evaluate the strategies for developing robust and resilient AI systems.
- Identify the key considerations for designing AI fallback mechanisms.
- Discuss the operational and safety implications of AI 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.