Program Description
The Responsible Artificial Intelligence Graduate Certificate prepares professionals to design, deploy, and manage AI‑enabled systems responsibly by integrating technical foundations, systems engineering, and ethical governance.
Offered 100% online through the College of Engineering and Computing at George Mason University, this graduate certificate focuses on AI system architecture, safety and risk assessment, testing and evaluation, and ethical, legal, and regulatory considerations. Designed for engineers, technologists, and policy professionals, the program equips students to ensure reliable, accountable, and safe AI performance across high‑impact domains such as autonomous systems, healthcare, finance, education, and public policy.
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. Areas of application include safety-critical physical systems like self-driving cars, air taxis and health applications, as well as software-based systems like financial and banking systems, and those that support education and research.
Banner Code: EC-CERG-RSAI