Christine Lumen

Christine Lumen studies the gap between how AI systems are governed on paper and how accountability actually functions in practice. Her work combines NLP, sentiment analysis, and spatial methods to measure where governance frameworks succeed or fail in real-world, often high-stakes settings: humanitarian crises, multilingual populations, and public perception of AI.

Her research includes ForesightHub, a deployed early-warning pipeline for conflict and displacement signals, which she has presented at United Nations headquarters on two occasions. Other work includes a study of AI regulatory frameworks across the US, EU, and China, and research on consumer trust in autonomous vehicles. She has published in International Journal of Organizational Analysis (Emerald) and Journal of Advanced Artificial Intelligence, and will present her NLP and LLM research at an AI conference in Paris. She has also collaborated with Yale University on agricultural policy research.

She is currently pursuing an MS in Management of Technology at NYU Tandon School of Engineering, following degrees in data analytics (NYU), computer science (Miami Dade College), and international law and relations (Tallinn University of Technology).

Originally from Estonia, Christine has since lived in 12 countries, including Singapore, Australia, and Canada, and founded the nonprofit EducationX MTÜ, which raised over €100,000 to fund educational access and content in Ukraine.