Husanjot Chahal was a Research Analyst at Georgetown University’s Center for Security and Emerging Technology (CSET). Prior to CSET, she worked in the World Bank’s Corporate Security division, and at Prevalent, Inc., a cybersecurity risk management firm in Washington, D.C. She also worked in New Delhi-based research organizations including the Indian Ministry of Defence’s Institute for Defence Studies and Analyses (IDSA), and the Institute of Peace and Conflict Studies (IPCS), examining security issues in South Asia.

Husan holds a Bachelor’s degree in Political Science from Lady Shri Ram College at the University of Delhi, a Master’s degree in International Security and Terrorism from the University of Nottingham, and a Master’s degree in Security Studies from Georgetown University. While studying at Georgetown she was the Walsh School of Foreign Service’s Junior Centennial Fellow and a researcher at the Berkley Center for Religion, Peace, and World Affairs. She is a recipient of Georgetown University’s Global Citizen Award (2019) and the Director’s Citizenship Award (2018).

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한국 AI 생태계 분석

August 2023

This is a Korean translation of the August 2023 CSET Data Brief "Assessing South Korea's AI Ecosystem."… Read More

This data brief examines South Korea’s progress in its development of artificial intelligence. The authors find that the country excels in semiconductor manufacturing, is a global leader in the production of AI patents, and is… Read More

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Voices of Innovation

July 2023

This data brief identifies the most influential AI researchers in the United States between 2010 and 2021 via three metrics: number of AI publications, citations, and AI h-index. It examines their demographic profiles, career trajectories,… Read More

In a report for the Observer Research Foundation, Research Analyst Husan Chahal writes about the ethics of artificial intelligence and how the multitude of efforts across such a diverse group of stakeholders reflects the need… Read More

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Country Activity Tracker

August 2022

CSET’s CAT presents data related to countries' artificial intelligence ecosystems to give an overview of domestic capabilities, as well as insights on competitiveness and collaboration globally. It presents metrics on AI research, patents, and investment-related… Read More


Quad AI

May 2022

Through the Quad forum, the United States, Australia, Japan and India have committed to pursuing an open, accessible and secure technology ecosystem and offering a democratic alternative to China’s techno-authoritarian model. This report assesses artificial… Read More

CSET's Husanjot Chahal and Ngor Luong discuss potential opportunities for the Quadrilateral Security Dialogue. Read More

In their op-ed for Scientific American, Husanjot Chahal and Helen Toner argue how small data can assist AI breakthroughs. Read More


Small Data’s Big AI Potential

September 2021

Conventional wisdom suggests that cutting-edge artificial intelligence is dependent on large volumes of data. An overemphasis on “big data” ignores the existence—and underestimates the potential—of several AI approaches that do not require massive labeled datasets. Read More

In her latest opinion piece, CSET's Husanjot Chahal outlines a roadmap for the United States and India to collaborate on AI applications. Read More

CSET Research Analyst Husanjot Chahal sheds light on India's growing AI capabilities and how it can help grow the U.S.' AI initiatives in the India-U.S. relationship. Read More


The Path of Least Resistance

April 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… Read More

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Mapping India’s AI Potential

March 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… Read More

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. Read More


Trusted Partners

February 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… Read More

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… Read More

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… Read More

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… Read More

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… Read More

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. Read More


Agile Alliances

February 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. Read More