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AI Risk Management Workshop
The "AI Risk Management Workshop" focuses on identifying, assessing, and mitigating the unique risks associated with AI deployment in sensitive and secure environments. Participants explore regulatory, ethical, and operational frameworks to ensure trustworthy AI systems. From a cybersecurity perspective, the course highlights how vulnerabilities in AI pipelines—such as data manipulation and algorithmic bias—can be exploited by malicious actors. It also discusses risk management strategies to secure AI applications in defense and critical infrastructure. This course is essential for professionals responsible for integrating AI while ensuring robust cyber protection.
Course Overview
None
Learning Objectives
- Understand the principles of AI risk management.
- Analyze the various risks associated with AI deployment.
- Evaluate frameworks and methodologies for AI risk assessment.
- Identify strategies for mitigating AI risks and ensuring ethical AI use.
- Apply practical skills in managing AI risks in real-world scenarios.
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.