Intelligence Briefing
Founder of the Algorithmic Justice League and pioneering researcher on racial and gender bias in facial recognition systems. Rhodes Scholar. Author of the national bestseller "Unmasking AI." Her Gender Shades research led to major companies improving their facial analysis systems. Subject of the Netflix documentary "Coded Bias." Joined NAACP Legal Defense Fund board in 2025. Selected for the inaugural Oxford Accelerator Fellowship (2025). AJL's Freedom Flyers campaign challenges TSA facial recognition expansion to 250+ airports.
BS, Computer Science — Georgia Institute of Technology
MSc, Learning and Technology — University of Oxford
MS, Media Arts and Sciences — MIT Media Lab
PhD, Media Arts and Sciences — MIT Media Lab
Operational History
Joined NAACP Legal Defense Fund Board
Became a board member to advocate for civil rights in the context of AI.
careerOxford Accelerator Fellowship
Selected for the inaugural Oxford Accelerator Fellowship.
awardAlgorithmic Justice League
Founded the Algorithmic Justice League to combat algorithmic bias.
foundingGender Shades Project
Published research highlighting racial and gender bias in facial recognition technologies.
researchAGI Position Assessment
Unknown
Leading voice against algorithmic discrimination. Focuses on the real-world harms of biased AI systems, particularly on communities of color. Advocates for moratoriums on facial recognition technology and stronger AI accountability laws.
Leading voice against algorithmic discrimination. Focuses on the real-world harms of biased AI systems, particularly on communities of color. Advocates for moratoriums on facial recognition technology and stronger AI accountability laws.
Intercepted Communications
“We need to ensure that AI systems are designed to be equitable and just.”
“Algorithmic bias is a reflection of societal bias.”
“The future of AI must prioritize human rights.”
“We cannot afford to ignore the implications of biased AI.”
“Facial recognition technology poses significant risks to marginalized communities.”
Research Output
Unmasking AI
2023National bestseller discussing the implications of AI.
Facing the Coded Gaze
2020AI & Society
Explored the societal impacts of AI.
Actionable Auditing: Investigating the Impact of Publicly Naming Biased Performance Results
2019Proceedings of the 2019 Conference on Fairness, Accountability, and Transparency
Introduced auditing as a method for accountability.
Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification
2018Proceedings of the 2018 Conference on Fairness, Accountability, and Transparency
Pioneering research on bias in AI.
Known Associates
Organizational Affiliations
Current
Algorithmic Justice League
Executive Director
2021 - Present
Former
MIT Media Lab
Research Assistant
2015 - 2018
University of Oxford
Rhodes Scholar
2014 - 2015
Source Material
Dossier last updated: 2026-03-04