Data Science

Autumn Toney

Data Research Analyst Print Bio

Autumn Toney is a Data Research Analyst at Georgetown’s Center for Security and Emerging Technology (CSET). Previously, she worked at the Naval Research Laboratory in computer security, focusing on anomaly detection. She is currently completing her Ph.D. in Computer Science at the George Washington University, where her research focuses on bias in machine learning. She earned a B.A. in Mathematics with a minor in history from the University of Florida and a Master of Science in Data Science from the George Washington University.

China’s surge in artificial intelligence development has been fueled, in large part, by advances in computer vision, the AI subdomain that makes powerful facial recognition technologies possible. This data brief compares U.S. and Chinese computer vision patent data to illustrate the different approaches each country takes to AI development.

Future U.S. competitiveness in artificial intelligence will require a robust AI workforce. This data brief analyzes market demand for AI-related jobs to determine the skills necessary in the field. It concerns jobs considered both “core AI” and “AI-adjacent.”

The U.S. government and industry both see artificial intelligence as a pivotal technology for future growth and competitiveness. What skills will be needed to create, integrate, and deploy AI applications? This data brief analyzes market demand for AI-related jobs to determine their educational requirements, dominant sectors, and geographic distribution.