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While the debates continue over artificial intelligence’s possible impacts on privacy, economics, education, and job displacement, perhaps the largest question regards the ethics of AI. Bias, accountability, transparency, and governance of the powerful technology are aspects that have yet to be fully answered.
A new cross-disciplinary course at George Mason University is designed to prepare students to tackle the ethical, societal, and governance challenges presented by AI. The course, AI: Ethics, Policy, and Society, will draw expertise from the Schar School of Policy and Government, the College of Engineering and Computing (CEC), and the College of Humanities and Social Sciences (CHSS).
The master’s degree-level course begins in spring 2025 and will be taught by Jesse Kirkpatrick, a research associate professor in the CEC, the Department of Philosophy, and codirector of the Mason Autonomy and Robotics Center.
The course is important now, said Kirkpatrick, because “artificial intelligence is transforming industries, reshaping societal norms, and challenging long-standing ethical frameworks. This course provides critical insights into the ethical, societal, and policy implications of AI at a time when these technologies are increasingly deployed in areas like healthcare, criminal justice, and national defense.”
Debates about bias in AI systems, the governance of autonomous decision-making, and the risks of misinformation “underscore the urgency of equipping students and professionals with the tools to address the opportunities and challenges responsibly,” he added.
This course is designed for students and professionals from diverse fields, including policy, computer science, engineering, law, philosophy, and business.
The course is open to George Mason students and is a core component of the university’s new graduate certificate in Responsible AI, making it an essential step for those pursuing advanced study or leadership roles in ethical AI design and governance.
In addition to critical readings and written assignments, the course incorporates hands-on components such as workshops, interactive discussions, and practical tools includes algorithmic audits, ethical toolkits, and risk management frameworks.
“Students will also engage in scenario-building exercises and present collaborative projects that apply ethical AI principles to real-world challenges,” Kirkpatrick said. “The course also features distinguished guest speakers from academia, industry, and government, providing students with diverse perspectives on AI.”
As the codirector of the Mason Autonomy and Robotics Center, Kirkpatrick is engaged in “Responsible AI” initiatives.
“I bring a unique blend of academic expertise and practical experience,” he said. “My work spans creating ethical AI frameworks, consulting on AI policy, and teaching at the intersection of ethics, technology, and public policy.
“This course reflects my commitment to equipping students with the knowledge and tools to address the profound ethical challenges and opportunities posed by AI technologies in society.”