[Colloquium] [CDAC] Feb 22: Timnit Gebru, Ethical AI Researcher

[Rob Mitchum]

*Timnit Gebru*
*Ethical AI Researcher*

*Monday, February 22nd*
*3:00 p.m. - 4:00 p.m.*
*Zoom (RSVP for login
<https://www.eventbrite.com/e/cdac-distinguished-speaker-series-timnit-gebru-tickets-129949591727>)
or YouTube <https://youtu.be/nccvwSoFDRM> (no registration required)*

*Bio*: Timnit Gebru is a computer scientist whose work explores algorithmic
bias and the ethical implications of data mining projects.

Timnit is an advocate for diversity in technology and is the cofounder of
Black in AI, a community of black researchers working in artificial
intelligence. She seeks both to increase diversity in the field of AI and
to reduce the negative impacts of racial bias in training data used for
human-centric machine learning models.

Timnit previously worked with the Ethical AI team at Google AI and
conducted postdoctoral research in the Fairness Accountability Transparency
and Ethics (FATE) group at Microsoft Research. She has also worked at
Apple, where she helped develop signal-processing algorithms for the first
iPad.

Timnit was born in Ethiopia and immigrated to the United States when she
was 15. She studied at Stanford University, where she earned her B.S. and
M.S. in electrical engineering, as well as a PhD from the Stanford
Artificial Intelligence Laboratory, where she studied computer vision under
Fei-Fei Li.


*Part of the CDAC Winter 2021 Distinguished Speaker Series:*

*Bias Correction: Solutions for Socially Responsible Data Science*
Security, privacy and bias in the context of machine learning are often
treated as binary issues, where an algorithm is either biased or fair,
ethical or unjust. In reality, there is a tradeoff between using technology
and opening up new privacy and security risks. Researchers are developing
innovative tools that navigate these tradeoffs by applying advances in
machine learning to societal issues without exacerbating bias or
endangering privacy and security. The CDAC Winter 2021 Distinguished
Speaker Series will host interdisciplinary researchers and thinkers
exploring methods and applications that protect user privacy, prevent
malicious use, and avoid deepening societal inequities — while diving into
the human values and decisions that underpin these approaches.

-- 
*Rob Mitchum*

*Associate Director of Communications for Data Science and Computing*
*University of Chicago*
*rmitchum at uchicago.edu <rmitchum at ci.uchicago.edu>*
*773-484-9890*
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