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Engineering
George Mason University, United States
The graduate certificate in Responsible AI provides students with the fundamentals of artificial intelligence (AI), how AI systems are architected, the principles of systems engineering as they relate to AI systems, theories of AI safety and risk, how to test and evaluate such systems to meet risk thresholds, and how to identify ethical, legal and regulatory issues that arise in such systems. Students will be prepared to develop and manage complex systems with embedded AI, including identifying unique requirements for systems with embedded AI, testing and certifying these systems, and defining and maintaining safe levels of performance for deployed AI. Graduates will also be able to develop acquisition plans for complex systems with embedded AI, and develop AI maintenance programs including auditing.
Faculty: College of Engineering and Computing | Department: Department of Mechanical Engineering | Duration: 14 credits | Study mode: full-time | Location: Fairfax, VA, United States
Total 14 credits. Curriculum courses listed include Learning From Data; AI Design and Deployment Risks; AI: Ethics, Policy, and Society; Emerging AI & Robotics Tech Seminar 1; Systems Engineering and Artificial Intelligence.
In addition to general admission requirements of the university, applicants must have earned a GPA of 3.00 or better on a 4.0 scale in the last 60 credits of their baccalaureate degree. Other application requirements are as follows: A one-page statement of educational and career goals Current resume Internationally-educated students must submit their English Proficiency scores
Duration: 14 credits
Engineering
George Mason University, United States
Engineering
George Mason University, United States
Engineering
George Mason University, United States
Engineering
George Mason University, United States
Engineering
George Mason University, United States
Engineering
George Mason University, United States
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