Catherine Aiken is a Survey Specialist at Georgetown’s Center for Security and Emerging Technology (CSET). Catherine was previously at the University of Maryland, where she taught political science courses and completed her doctoral research, which explored non-mainstream political organization and participation through surveys, interviews and experiments. She has conducted research for the International Crisis Behavior Project, Cross-Domain Deterrence Project, and Assessing Revolutionary and Insurgent Strategies Project and taught research methodology at the National Consortium for the Study of Terrorism and Responses to Terrorism. Catherine holds a B.A. from the University of Rochester and a Ph.D. in political science from the University of Maryland.
Research from a CSET survey reveals that AI professionals are more willing to work with the U.S. military than originally perceived.
Is there a rift between the U.S. tech sector and the Department of Defense? To better understand this relationship, CSET surveyed U.S. AI industry professionals about their views toward working on DOD-funded AI projects. The authors find that these professionals hold a broad range of opinions about working with DOD. Among the key findings: Most AI professionals are positive or neutral about working on DOD-funded AI projects, and willingness to work with DOD increases for projects with humanitarian applications.
Foretell is CSET's crowd forecasting pilot project focused on technology and security policy. It connects historical and forecast data on near-term events with the big-picture questions that are most relevant to policymakers.
Future IndicesOctober 2020
Foretell is CSET's crowd forecasting pilot project focused on technology and security policy. It connects historical and forecast data on near-term events with the big-picture questions that are most relevant to policymakers. This issue brief uses recent forecast data to illustrate Foretell’s methodology.
China AI-Brain ResearchSeptember 2020
Since 2016, China has engaged in a nationwide effort to "merge" AI and neuroscience research as a major part of its next-generation AI development program. This report explores China’s AI-brain program — identifying key players and organizations and recommending the creation of an open source S&T monitoring capability within the U.S. government.
Immigration Pathways and Plans of AI TalentSeptember 2020
To better understand immigration paths of the AI workforce, CSET surveyed recent PhD graduates from top-ranking AI programs at U.S. universities. This data brief offers takeaways — namely, that AI PhDs find the United States an appealing destination for study and work, and those working in the country plan to stay.
Are great powers engaged in an artificial intelligence arms race? This issue brief explores the rhetorical framing of AI by analyzing more than 4,000 English-language articles over a seven-year period. Among its findings: a growing number of articles frame AI development as a competition, but articles using the competition frame represent a declining proportion of articles about AI.
Career Preferences of AI TalentJune 2020
The United States faces increased international competition for top talent in artificial intelligence, a critical component of the American AI advantage. CSET surveyed recent AI PhDs from U.S. universities, offering insights into the academic and career preferences of the AI workforce.
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.