Analysis

Mina Narayanan

Research Analyst Print Bio

Mina Narayanan is a Research Analyst at Georgetown University’s Center for Security and Emerging Technology (CSET), where she works on AI governance and safety. Her work focuses on U.S. AI governance, spanning AI standards, risk management practices, and evaluations. Prior to joining CSET, she worked at the U.S. Department of State in the Bureau of Consular Affairs where she monitored developments and prepared correspondence for international child abduction cases. Previously, she leveraged topic modeling to analyze research portfolios at the National Institute of Nursing Research. Mina holds a Bachelor of Software Engineering with a Minor in Political Science from Auburn University and a Master of Science in Public Policy and Management from Carnegie Mellon University.

Related Content

In their op-ed in the Bulletin of the Atomic Scientists, Mia Hoffmann, Mina Narayanan, and Owen J. Daniels discuss the upcoming French Artificial Intelligence Action Summit in Paris, which aims to establish a shared and… Read More

CSET submitted the following comment in response to a Request for Information (RFI) from the Department of Commerce regarding 89 FR 27411. Read More

In a recent episode of the Corner Alliance's "AI, Government, and the Future" podcast that explores the challenges of assessing AI systems and managing their risk, Mina Narayanan, a Research Analyst at CSET, provides her… Read More

On February 2, 2024, CSET's Assessment and CyberAI teams submitted a response to NIST's Request for Information related to the Executive Order Concerning Artificial Intelligence (88 FR 88368). In the submission, CSET compiles recommendations from… Read More

Standards enable good governance practices by establishing consistent measurement and norms for interoperability, but creating standards for AI is a challenging task. The Center for Security and Emerging Technology and the Center for a New… Read More

CSET's AI Assessment team provides a template that helps organizations create profiles to guide the management and deployment of AI systems in line with NIST's AI Risk Management Framework. Read More

Process frameworks provide a blueprint for organizations implementing responsible artificial intelligence (AI), but the sheer number of frameworks, along with their loosely specified audiences, can make it difficult for organizations to select ones that meet… Read More

CSET submitted the following comment in response to the National Institute for Standards and Technology's second draft of its AI Risk Management Framework. Read More