����AV

Thema Monroe-White joins ����AV this fall as an associate professor in both the Schar School and the College of Engineering and Computing. She is an artificial intelligence (AI) and policy justice scholar and the recipient of a prestigious $1 million CAREER grant, awarded by the National Science Foundation (NSF) to early-career faculty who are trailblazers within their field.  

Monroe-White focuses on the , working to combat bias within data science and AI by building a diverse scientific workforce. Her CAREER grant, entitled “Investigating Undergraduate Student Persistence Intentions for a Diverse Data Science Community,” is a huge step toward her goal of developing social inclusion in the scientific community. Monroe-White will investigate which interventions are most effective in encouraging underrepresented students to choose STEM majors, graduate, and subsequently stay in STEM careers. “I want to develop concrete, practical approaches for broadening participation in data science and related fields,” says Monroe-White. “Why do students persist in STEM, and how can we codify those conditions to encourage even more underrepresented students to pursue STEM careers?”  

The CAREER grant builds on another NSF-funded project Monroe White brings to Mason, which examines how scientists’ background and experience influence the research topics they choose to pursue. Monroe-White's team has illustrated that a homogeneous workforce in STEM fields results in a less comprehensive exploration of scientific topics. Just as medical research focused on white male subjects until more women and researchers of color achieved authority in the field, Monroe-White's research exposes similar patterns in other fields. Preliminary research focused on scientists in the United States, and the team will now refine their algorithm and apply it to an international dataset.  

Monroe-White brings her expertise in AI to George Mason at time when the university is investing in AI research and innovation. The Schar School recently secured two other seven-figure AI-related grants, one from the Department of Defense and another to create the nation’s first Center for AI Innovation for Economic Competitiveness (�䴡��������).����

“Thema Monroe-White’s research understands the computational, social, and policy issues that underline artificial intelligence,” said J.P. Singh, Schar School Distinguished University Professor and principal investigator for CAIIEC. “She will greatly help us bridge disciplinary divides and train the next generation of student scholars to address the cutting-edge issues of our times.”  

Monroe-White's research and teaching agenda focus both on revealing algorithmic bias and realizing AI’s capacity for positive social transformation. This will be the center of her contributions to George Mason’s new undergraduate program in technology policy, an innovative split between computer science and policy studies. In her fall course, AI: Ethics, Policy, & Society, Monroe-White asks, “Must AI tools reflect reality?” Algorithms learn from the data they are given and reflect the biases embedded in that data.  

“We’ve talked about the data harms. I want to get at the solutions,” she said when asked about her goals at George Mason. “How do we round that corner and, instead of stereotyping subordination and omission, how do we get at empowerment and uplift?” AI is a powerful tool – one that has caused harm but also has enormous potential to reverse previous harms. As part of the Schar School, Monroe-White will train the next generation of computer scientists and policy practitioners to build that future.