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Timnit GebruTimnit Gebru

Timnit Gebru

Founder & Executive Director / Distributed AI Research Institute (DAIR)

Dr. Timnit Gebru is a prominent Eritrean Ethiopian-born computer scientist and activist known for her work on algorithmic bias and the ethics of artificial intelligence. She is the founder and executive director of the Distributed AI Research Institute (DAIR) and co-founded the non-profit Black in AI. Gebru gained widespread attention after her controversial firing from Google, where she co-led the Ethical AI research team, following a dispute over a paper warning about the dangers of large language models. She has been recognized as one of TIME 100's most influential people in the world.

PhD, Stanford University
United States
TwitterTwitter163.4K
LinkedInLinkedIn89.7K
Artificial IntelligenceEthicsComputer ScienceActivism
163.4K
Twitter Followers
20+ years
Years of Experience
2 (DAIR, Black in AI)
Companies Founded
2021
TIME 100 Recognition
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Work Experience

The Distributed AI Research Institute (DAIR)The Distributed AI Research Institute (DAIR)
The Distributed AI Research Institute (DAIR)

Founder & Executive Director

Aug 2021 - Present
Position
Founder & Executive Director
Black in AIBlack in AI
Black in AI

Co-founder & President of Black in AI

May 2017 - May 2021
Position
Co-founder & President of Black in AI
Google AIGoogle AI
Google AI

Co-lead of Ethical AI Research Team

Sep 2018 - Dec 2020
Position
Co-lead of Ethical AI Research Team
Microsoft Research NYCMicrosoft Research NYC
Microsoft Research NYC

Postdoctoral Researcher

Jun 2017 - Jul 2018
Position
Postdoctoral Researcher
Stanford UniversityStanford University
Stanford University

PHD Candidate

Mar 2013 - Sep 2017
Position
PHD Candidate
Recurse CenterRecurse Center
Recurse Center

Student

Jun 2012 - Aug 2012
Responsibilities
Worked on a variety of open source projects in Objective C, python, C++, Ruby on Rails and Javascript in order to become a better programmer. Projects include iOS applications and contributions to OpenCV (open source computer vision library) and Requests (open source python based HTTP library)
MotionThinkMotionThink
MotionThink

Co-Founder

Sep 2011 - Apr 2012
Responsibilities
Use the design thinking framework under the structure of Innovation Endeavors' Runway Program to identify needs in the small business space and develop solutions.
AppleApple
Apple

Part Time Audio Engineer

Jun 2007 - Aug 2011
Responsibilities
Worked on a variety of audio related projects mainly involving digital signal processing. An example is the design, simulation and implementation of a 4th order delta sigma modulator and various noise shaped clock generation circuits for iPads and iPhones Part Time Audio Engineer
AppleApple
Apple

Audio Systems Engineer

Jul 2005 - Sep 2007
Responsibilities
Designed the audio circuitry of Apple TV, iMacs, MacBooks and MacBook Pros as well as other Apple products such as the iPad. Helped vendors develop chips such as CODECs and created specifications for audio hardware. Researched new technologies that could potentially improve the audio quality of Apple’s next generation products. Audio Systems Engineer
Stanford UniversityStanford University
Stanford University

Graduate Research Assistant

Sep 2010 - Jun 2011
Responsibilities
Worked on a thermal light OCT system for Fourier domain optical coherence tomography with a thermal light source. The goal is to have a fast and cheap OCT system the can be integrated with fluorescence microscopy to analyze various layers of human tissue.
AppleApple
Apple

Audio Hardware Intern

Jun 2004 - Sep 2004
Responsibilities
Worked on projects that were related to the audio quality of Apple’s computers. Examples of such projects were noise cancellation techniques to improve the quality of speech recognition and limit fan noise heard by the internal microphone of the computer. Other tasks included debugging problems related to the audio hardware circuitry of Apple’s computers.

Education

Stanford UniversityStanford University
Stanford University

PhD

2017
Field of Study
PhD - Electrical Engineering
Stanford UniversityStanford University
Stanford University

Masters

2010
Field of Study
Masters - Electrical Engineering
Stanford UniversityStanford University
Stanford University

BS

2008
Field of Study
BS - Electrical Engineering

Key Highlights

AI & Ethics Expert

Eritrean Ethiopian-born computer scientist focusing on AI, algorithmic bias, and data mining.

Black in AI Co-founder

Co-founder of Black in AI, a non-profit dedicated to increasing the presence and inclusion of Black people in the field of AI.

DAIR Institute Founder

Founder and Executive Director of The Distributed Artificial Intelligence Research (DAIR) Institute.

Algorithmic Bias Research

Known for her groundbreaking research on algorithmic bias, particularly in facial recognition technology.

Professional Domains

Dr. Gebru's expertise spans the technical foundations of computer science and the critical social implications of artificial intelligence, with a focus on fairness and accountability.

Core Expertise
Artificial IntelligenceAlgorithmic BiasData MiningComputer VisionMachine Learning
Research Focus
Ethical AIFacial Recognition InaccuraciesLarge Language Model RisksInstitutional Discrimination

Platform Stats & Expertise

Twitter Followers

163.4K

Primary Focus

AI Ethics

Key Topic

Algorithmic Bias

Expertise

Computer Vision

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