Rachel Kim

Contributing Editor

Rachel Kim is a contributing editor at Mast Dispatch and an AI program advisor to public-sector organizations. She writes about model governance, validation, transparency, and how agencies can evaluate AI tools without falling for vendor theater. Before advising agencies, Kim worked on machine learning oversight and risk frameworks for large-scale government technology programs. Her work focuses on practical oversight—how governments can test, audit, and deploy AI systems responsibly in high-consequence environments.