Artificial Intelligence

Student projects focused on artificial intelligence

Daniel Stock

Ph.D. student, Heinz College

“My research measures the impact of AI-related innovation on the employment, productivity, and wages of AI-inventing firms. To accomplish this goal, I use patents identified by machine learning and natural language processing techniques as ‘AI-related’ as a measure of AI-related innovation. Our text parsing techniques indicate that AI-related invention is far more pervasive than previous analyses have suggested. In addition, we find that AI-related innovations are positively associated with firm growth as firms with AI-related innovations have 25% faster employment growth and 40% faster revenue growth than a comparative set of firms. We also find evidence that AI-related innovations appear to raise output per worker and increase within-firm wage inequality.”

Maria Ryskina

Ph.D. Student, School of Computer Science

“My research seeks to build real-time situational awareness of AI activities in the economy. To build awareness of AI-innovation, I am using machine learning and natural language processing techniques to parse the text of patent documents and determine which patents describe AI-related inventions. To document human capital in AI, I am also applying machine learning techniques to publication data and other data in order to track the movement of individuals who received Ph.D.s in AI-related fields across geographic and organizational boundaries.”