Sara Al-Sayed

Sara Al-Sayed is a Kendall Fellow in the Global Security Program at the Union of Concerned Scientists. Her work focuses on the impact of the fusion of machine learning and artificial intelligence with satellite remote sensing data on nuclear stability; the impact of this fusion on arms control agreement verification; and how possible bias in machine learning/artificial intelligence training datasets might influence the interpretation of data collected on strategic systems and affect strategic stability.