Londa Schiebinger

Event Information

Date & Time
November 2, 2017 -
11:45am to 1:00pm
Clayman Institute
589 Capistrano Way
94305 Stanford , CA
California US

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Faculty Research Fellows Lunch with Londa Schiebinger


Londa Schiebinger: "Gender and Fairness in Machine Learning and Robotics"

Big data often contains unconscious human gender and other bias. Machine learn models trained on these datasets tend to amplify existing bias into the future. Technology, i.e., our devices, programs, and processes shape human attitudes, behaviors, and culture—and future data. In other words, past bias is perpetuated into the future, even when governments, universities, and companies themselves have implemented policies to foster equality. How can humans intervene in automated processes to enhance and not harm social equalities? Who should make these decisions? What are practical techniques to guarantee social fairness. This talk will also touch on gender and robotics, as time allows.

Londa Schiebinger is John L. Hinds Professor of the History of Science.

Stanford faculty are invited to join us for lunch and a discussion.  Please RSVP to Wendy Skidmore if you would like to attend.  



    • John L. Hinds Professor of History of Science, School of Humanities and Sciences
    • Director, EU/US Gendered Innovations in Science, Health & Medicine, and Engineering Project
    • The Barbara D. Finberg Director, 2004 - 2010
    • Faculty Research Fellow, 2012-13
    • Faculty Reaserch Fellow, 2017-18
    Londa Schiebinger is the John L. Hinds Professor of History of Science in the History Department at Stanford University, and joined Stanford's Clayman Institute for Gender Research in April of 2004 as the Barbara D. Finberg Director. She is a member of the American Academy of Arts and Sciences.   Professor Schiebinger's research has been featured in the New York Times, the New Yorker, Die Zeit, Frankfurter Allgemeine...