Intelligence Briefing
Chief Ethics Scientist at Hugging Face. Co-created the concept of Model Cards for transparent model reporting. Former Google AI Ethics co-lead, where she founded and co-led the Ethical AI group before being fired in 2021. Cited by over 33,000 scholars. Spoke at AI Everything MEA Egypt 2026 on human-centric AI and bias in the Global South. Co-authored Bluesky's 2025 Transparency Report.
BA, Linguistics — Reed College
MS, Computational Linguistics — University of Washington
PhD, Computer Science — University of Aberdeen
Operational History
Co-authored Bluesky's Transparency Report
Contributed to the transparency report focusing on ethical AI practices.
researchFired from Google
Margaret Mitchell was fired from Google after leading the Ethical AI group.
departureAGI Position Assessment
Unknown
Strong advocate for AI accountability and transparency. Focuses on bias mitigation, fairness, and the disproportionate impact of AI on marginalized communities. Pushes for open, auditable AI systems.
Strong advocate for AI accountability and transparency. Focuses on bias mitigation, fairness, and the disproportionate impact of AI on marginalized communities. Pushes for open, auditable AI systems.
Intercepted Communications
“AI should be accountable and transparent, especially when it impacts marginalized communities.”
“Model Cards are essential for understanding the capabilities and limitations of AI models.”
“We must address bias in AI to ensure fairness and equity.”
“The impact of AI on society is profound and requires our utmost attention.”
“Transparency in AI is not just a goal; it's a necessity.”
Research Output
On the Dangers of Stochastic Parrots: Can Language Models Be Too Big?
2021Proceedings of the 2021 Conference on Fairness, Accountability, and Transparency
Critiqued large language models and their societal implications.
Vision-to-Language Generation: A Review
2020Journal of Artificial Intelligence Research
Reviewed advancements in vision-to-language generation.
Model Cards: A Framework for Transparent Model Reporting
2019Proceedings of the 2019 Conference on Fairness, Accountability, and Transparency
Introduced the concept of Model Cards.
Gender Shades: Intersectional Accuracy Disparities in AI
2018Proceedings of the 2018 Conference on Fairness, Accountability, and Transparency
Highlighted bias in facial recognition systems.
Field Intelligence
AI Ethics: A Human-Centric Approach
The Role of Transparency in AI
Addressing Bias in AI
Known Associates
Joy Buolamwini
collaboratorCo-authored the Gender Shades paper.
View Dossier →Timnit Gebru
collaboratorCo-authored the Stochastic Parrots paper.
View Dossier →Emily Bender
collaboratorCo-authored the Stochastic Parrots paper.
View Dossier →Unknown Person
mentorMentored Margaret during her early career.
View Dossier →Organizational Affiliations
Current
Hugging Face
Chief Ethics Scientist
2021-Present
Former
Staff Research Scientist
2017-2021
Microsoft Research
Researcher
2015-2017
Source Material
Dossier last updated: 2026-03-04