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Ethical AI Frameworks (IEEE 7000, EU AI Act, DoD 3000.09) Fundamentals
Understand the ethical frameworks shaping responsible AI with "Ethical AI Frameworks (IEEE 7000, EU AI Act, DoD 3000.09) Fundamentals." This course explores major policy guidelines and legal structures ensuring AI technologies are used safely and ethically. Emphasis is placed on how these frameworks influence cybersecurity practices, especially in protecting data integrity, preventing unauthorized manipulation, and maintaining trust in automated systems. Ethical AI and cybersecurity are closely linked, and participants will learn how poor AI governance can lead to exploitable vulnerabilities and privacy breaches in mission-critical sectors.
Course Overview
None
Learning Objectives
- Understand the fundamental principles of ethical AI frameworks.
- Analyze the key components of IEEE 7000, EU AI Act, and DoD 3000.09.
- Evaluate the ethical considerations in designing and implementing AI systems.
- Identify potential biases and ethical dilemmas in AI applications.
- Discuss the importance of transparency and accountability in AI development.
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.