Lauren Kahn
Papers
1
Total Citations
5
H-Index
1
About
Lauren Kahn is a leading scholar at the intersection of artificial intelligence, public policy, and national security. Her research investigates how emerging autonomous technologies reshape societal trust, governance, and strategic stability. Kahn’s most cited work, “COVID-19 and public support for autonomous technologies—Did the pandemic catalyze a world of robots?” (2022, 5 citations), explores whether the pandemic’s disruption of human interaction fundamentally shifted public attitudes toward AI-driven systems. By analyzing survey data and policy responses, she challenges assumptions about technological acceptance during crises, offering nuanced insights into the social and ethical dimensions of automation. Beyond this study, Kahn has contributed to debates on military AI, algorithmic accountability, and the global governance of emerging tech. Her work is widely cited in policy circles and academic journals, reflecting her impact on both theory and practice. Kahn’s ability to bridge technical complexity with accessible analysis makes her a vital voice for students and researchers navigating the future of human-machine interaction.
Research Focus
Key Achievements
Top Papers
- 1