Intersectional perspectives in digitalisation of science and society

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About this video

Prof Schiebinger explains the efforts to remove and prevent gender and other types of bias in research and innovation by closing gaps in understanding how sex and gender influence results and differentiate outcomes of studies for women and men, often with worse impact for women. She focuses her talk on the Gendered Innovation project, which shows through evidence how methods of sex/gender analysis improve quality and impact of research. The focus of the talk is AI, including face recognition, robotics, and health technology with specific examples of gender, race, and stereotype biases embedded in the design of and the outputs from relevant applications.

About the presenter

Londa Schiebinger, PhD

John L. Hinds Professor of History of Science at Stanford University, and Director of EU/US Gendered Innovations in Science, Health & Medicine, Engineering, and Environment.

Londa Schiebinger is the John L. Hinds Professor of History of Science at Stanford University, and Director of EU/US Gendered Innovations in Science, Health & Medicine, Engineering, and Environment. She is a leading international expert on gender in science and technology and has addressed the United Nations on the topic of “Gender, Science, and Technology.” She is an elected member of the American Academy of Arts and Sciences and the recipient of numerous prizes and awards, including the prestigious Alexander von Humboldt Research Prize and Guggenheim Fellowship. Her global project, Gendered Innovations, harnesses the creative power of sex, gender, and intersectional analysis to enhance excellence and reproducibility in science and technology. See AI can be Sexist and Racist—It’s Time to Make it Fair by Schiebinger & James Zou, Nature, 559.7714 (2018), 324-326; (2019). Sex and Gender Analysis Improves Science and Engineering by Tannenbaum, C., Ellis, R. P., Eyssel, F., Zou, J., & Schiebinger, L., Nature, 575(7781), 137-146. For late-breaking news on Gendered Innovations, sign up here: https://mailman.stanford.edu/mailman/listinfo/genderedinnovations or follow us on Twitter @GenderInnovate.