Intelligence Briefing
Founded DAIR Institute in 2021 after her high-profile departure from Google, where she co-led the Ethical AI team. Recipient of the 2025 NISO Miles Conrad lifetime achievement award. Currently writing "The View from Somewhere," a memoir and manifesto arguing for technology that serves communities rather than surveillance and centralized power.
BSc, Electrical Engineering — Stanford University
MSc, Electrical Engineering — Stanford University
PhD, Computer Vision — Stanford University
Operational History
NISO Miles Conrad Lifetime Achievement Award
Timnit Gebru received the NISO Miles Conrad lifetime achievement award for her contributions to AI ethics.
awardWriting 'The View from Somewhere'
Timnit Gebru began writing her memoir and manifesto, 'The View from Somewhere'.
researchFounded DAIR Institute
Timnit Gebru founded the Distributed AI Research Institute to focus on ethical AI research.
foundingDeparture from Google
Timnit Gebru left Google after a controversy regarding a research paper on AI ethics.
departurePublication of Gender Shades
Timnit Gebru published the influential paper 'Gender Shades' in collaboration with Joy Buolamwini.
researchCo-lead of Ethical AI Team at Google
Timnit Gebru co-led the Ethical AI team at Google, focusing on responsible AI practices.
careerPostdoctoral Researcher at Microsoft Research
Timnit Gebru worked as a postdoctoral researcher at Microsoft Research, contributing to AI ethics research.
careerResearch Scientist at Apple
Timnit Gebru served as a research scientist at Apple, focusing on computer vision.
careerAGI Position Assessment
Unknown
Focuses on present-day harms of AI: bias, surveillance, labor exploitation, and environmental costs. Critical of existential-risk framing as a distraction from real harms disproportionately affecting marginalized communities. Advocates for community-centered AI governance independent of corporate influence.
Focuses on present-day harms of AI: bias, surveillance, labor exploitation, and environmental costs. Critical of existential-risk framing as a distraction from real harms disproportionately affecting marginalized communities. Advocates for community-centered AI governance independent of corporate influence.
Intercepted Communications
“AI systems are not neutral; they reflect the biases of the data they are trained on.”
“We need to prioritize the voices of marginalized communities in AI development.”
“The dangers of AI are not just theoretical; they are present and affecting real people today.”
“Community-centered AI governance is essential to ensure technology serves the public good.”
“We must challenge the narrative that AI will solve all our problems; it can also exacerbate existing inequalities.”
Research Output
The View from Somewhere: A Memoir and Manifesto
2026Upcoming memoir discussing the intersection of technology and community.
AI and the Future of Work: A Critical Perspective
2023Analyzes the impact of AI on labor and employment.
The Role of AI in Society: Ethical Considerations
2022Explores ethical implications of AI in societal contexts.
On the Dangers of Stochastic Parrots
2021Proceedings of the ACM Conference on Fairness, Accountability, and Transparency
Critically examines the implications of large language models.
Algorithmic Bias Detectable in AI Systems
2021Discusses methods for identifying bias in AI algorithms.
Datasheets for Datasets: A Framework for Responsible AI
2020Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency
Proposes a framework for documenting datasets used in AI.
Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification
2018Proceedings of the 2018 Conference on Fairness, Accountability, and Transparency
Highlights bias in AI gender classification systems.
Using Deep Learning and Google Street View to Estimate Demographics
2016Proceedings of the National Academy of Sciences
Innovative approach to demographic estimation using AI.
Field Intelligence
AI Ethics and the Future of Technology
The Importance of Fairness in AI
Community-Centered AI Governance
AI and Social Justice
Navigating AI Ethics in Practice
Known Associates
Joy Buolamwini
collaboratorCo-author of the Gender Shades paper.
View Dossier →Margaret Mitchell
collaboratorCo-author of the Stochastic Parrots paper.
View Dossier →Fei-Fei Li
mentorInfluential figure in AI ethics and computer vision.
View Dossier →Daniel Kahneman
mentorNobel laureate and psychologist, influential in decision-making research.
View Dossier →Organizational Affiliations
Current
DAIR Institute
Founder
2021 - Present
Former
Researcher
2018 - 2020
Microsoft Research
Researcher
2017 - 2018
Apple
Researcher
2016 - 2017
Commendations
2025
NISO Miles Conrad Lifetime Achievement Award
NISO
Awarded for significant contributions to the field of information and technology.
Source Material
Dossier last updated: 2026-03-04