Thema Monroe-White
Associate Professor of Artificial Intelligence and Innovation Policy
Thema (Tay-mah) Monroe-White, PhD is an Associate Professor of Artificial Intelligence and Innovation Policy at George Mason University, with joint appointments in the Schar School of Policy and Government and the School of Computing. Her work focuses on how artificial intelligence and policy systems intersect to shape education, labor, and innovation opportunities for historically minoritized and marginalized groups. Her research advances emancipatory data practices, leveraging critical quantitative and computational approaches to 1) interrogate racialized algorithmic harms, 2) trace the persistence of racist ideologies in contemporary scientific and policy discourse, and 3) reimagine how knowledge about these systems can be used to empower rather than oppress. Drawing on a range of interdisciplinary methods, her research seeks to foster more equitable systems across K–20 STEM educational and workforce development pathways. Dr. White regularly contributes to national and international conversations on AI education and governance through engagements with philanthropic organizations, policy forums, and scholarly convenings. She has published more than 30 peer-reviewed journal articles and conference papers, including work appearing in Proceedings of the National Academy of Sciences (PNAS), Nature Communications, PLOS ONE, Journal of the Association for Information Science and Technology (JASIST), and leading AAAI, AIES, and ACM conference proceedings.
Recently Elsewhere
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e‐Government Adoption in Ghana: Structural Conditions and Employee Affective Orientation
Public Administration Review · 2026
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Intersectional biases in narratives produced by open-ended prompting of generative language models
Nature Communications · 2026
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Echoes of Eugenics: Tracing the Ideological Persistence of Scientific Racism in Scholarly Discourse
2025
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Language Models Generate Widespread Intersectional Biases in Narratives of Learning, Labor, and Love
2025
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Teaching Parrots to See Red: Self-Audits of Generative Language Models Overlook Sociotechnical Harms
Proceedings of the AAAI Symposium Series · 2025
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A Few Good Connections: Exploring the Social Networks of Underrepresented Racially Minoritized (URM) Entrepreneurs in Tech Fields
2025
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Blackwomen in STEM entrepreneurship: networking toward an equitable future
International Journal of Gender and Entrepreneurship · 2025
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Psychosocial Resistance to Racism
Oxford Intersections: Racism by Context · 2025
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Dismantling the logics of eugenics via emancipatory data science education
Proceedings of the IASE 2024 Roundtable Conference - Connecting data and people for inclusive statistics and data science education · 2025
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Towards Holistic AI Governance in Africa
2025
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Speaking evidence to power? An interdisciplinary conversation
South African Journal of Science · 2024
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Black Founders’ Racialized Experiences and Ventures: A Multilevel Analysis
2024
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The Psychosocial Impacts of Generative AI Harms
Proceedings of the AAAI Symposium Series · 2024
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Intersectional inequalities of representation and research topics in science
SCT Proceedings in Interdisciplinary Insights and Innovations · 2024
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Toward a Race-Conscious Entrepreneurship Education
Entrepreneurship Education and Pedagogy · 2024
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Laissez-Faire Harms: Algorithmic Biases in Generative Language Models
2024
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Establishing a Data Science for Good Ecosystem: The Case of ATLytiCS
Journal of the Southern Association for Information Systems · 2023
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The Wells-Du Bois Protocol for Machine Learning Bias: Building Critical Quantitative Foundations for Third Sector Scholarship
Voluntas: International Journal of Voluntary and Nonprofit Organizations · 2023
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Emancipating data science for Black and Indigenous students via liberatory datasets and curricula
IASSIST Quarterly · 2022
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Intersectional Inequalities in Science
TheScienceBreaker · 2022
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Avoiding bias when inferring race using name-based approaches
PLOS ONE · 2022
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Intersectional inequalities in science
Proceedings of the National Academy of Sciences · 2022
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Emancipatory Data Science
Proceedings of the 2021 on Computers and People Research Conference · 2021
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Social Exclusion in Data Science: A Critical Exploration of Disparate Representation in Higher Education
AMCIS 2022 Proceedings · 2021
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K–12 DREAMS to Teach Program at Morehouse College: Challenges and Opportunities Creating the Next Generation of African American Male STEM Teachers
Journal of College Science Teaching · 2020
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Integrating Entrepreneurship into Capstone Design: An Exploration of Faculty Perceptions and Practices
2015 ASEE Annual Conference and Exposition Proceedings
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Stimulating and Supporting Change in Entrepreneurship Education: Lessons from Institutions on the Front Lines
2015 ASEE Annual Conference and Exposition Proceedings