Husanjot Chahal is a Research Analyst at Georgetown’s Center for Security and Emerging Technology (CSET). Prior to CSET, she has worked in the World Bank’s Corporate Security division and in New Delhi-based research organizations looking at security issues in South Asia. Husan finished her graduate degree in Security Studies from Georgetown University, where she was the School of Foreign Service’s Junior Centennial Fellow. She holds a Master’s in International Security and Terrorism from the University of Nottingham and a Bachelor’s degree in Political Science from Lady Shri Ram College, University of Delhi.
The Path of Least ResistanceApril 2021
As multinational collaboration on emerging technologies takes center stage, U.S. allies and partners must overcome the technological, bureaucratic, and political barriers to working together. This report assesses the challenges to multinational collaboration and explains how joint projects centered on artificial intelligence applications for military logistics and sustainment offer a viable path forward.
Mapping India’s AI PotentialMarch 2021
With its massive information technology workforce, thriving research community and a growing technology ecosystem, India has a significant stake in the development of artificial intelligence globally. Drawing from a variety of original CSET datasets, the authors evaluate India’s potential for AI by examining its progress across five categories of indicators pertinent to AI development: talent, research, patents, companies and investments, and compute.
Building trust in human-machine teamsFebruary 2021
CSET Research Fellow Margarita Konaev and Research Analyst Husanjot Chahal discuss research gaps on trust in human-machine teaming and how to build trustworthy AI systems for military systems and missions.
Trusted PartnersFebruary 2021
As the U.S. military integrates artificial intelligence into its systems and missions, there are outstanding questions about the role of trust in human-machine teams. This report examines the drivers and effects of such trust, assesses the risks from too much or too little trust in intelligent technologies, reviews efforts to build trustworthy AI systems, and offers future directions for research on trust relevant to the U.S. military.
National security leaders view AI as a priority technology for defending the United States. This two-part analysis is intended to help policymakers better understand the scope and implications of U.S. military investment in autonomy and AI. It focuses on the range of autonomous and AI-enabled technologies the Pentagon is developing, the military capabilities these applications promise to deliver, and the impact that such advances could have on key strategic issues.
This brief examines how the Pentagon’s investments in autonomy and AI may affect its military capabilities and strategic interests. It proposes that DOD invest in improving its understanding of trust in human-machine teams and leverage existing AI technologies to enhance military readiness and endurance. In the long term, investments in reliable, trustworthy, and resilient AI systems are critical for ensuring sustained military, technological, and strategic advantages.
The Pentagon has a wide range of research and development programs using autonomy and AI in unmanned vehicles and systems, information processing, decision support, targeting functions, and other areas. This policy brief delves into the details of DOD’s science and technology program to assess trends in funding, key areas of focus, and gaps in investment that could stymie the development and fielding of AI systems in operational settings.
Today’s research and development investments will set the course for artificial intelligence in national security in the coming years. This Executive Summary presents key findings and recommendations from CSET’s two-part analysis of U.S. military investments in autonomy and AI, including our assessment of DOD’s research priorities, trends and gaps, as well as ways to ensure U.S. military leadership in AI in the short and the long term.
Both China and the United States seek to develop military applications enabled by artificial intelligence. This issue brief reviews the obstacles to assessing data competitiveness and provides metrics for measuring data advantage.
Agile AlliancesFebruary 2020
The United States must collaborate with its allies and partners to shape the trajectory of artificial intelligence, promoting liberal democratic values and protecting against efforts to wield AI for authoritarian ends.