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Ethical Research Data: The Feminist Principle of Examining Power in the Context of Big Data and AI

Tuesday, February 13, 2024 1 PM to 2 PM

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About this Event

Virtual Event

Join us for the Love Data Week virtual keynote presentation by Lauren Klein, author of "Data Feminism" (MIT Press, 2020). 

In "Data Feminism", Klein and her coauthor Catherine D'Ignazio established a set of principles for doing more just and equitable data science. Informed by the past several decades of intersectional feminist activism and critical thought, the principles of data feminism modeled how to examine and challenge power, rethink binaries and hierarchies, elevate emotion and embodiment, consider context, embrace pluralism, and make labor visible. How can these principles be applied to the current conversation about AI, its present harms, and its future possibilities? This talk will briefly summarize the principles of data feminism before moving to a set of examples that show how these principles can be applied–and extended–to our current technological landscape.

This event is open to all. Please register to receive the Zoom link.

Event Details

Event Type

Lectures & Presentations

Topic

Science & Technology Humanities & Society Medicine & Health

Tags

love data week

Website

https://becker.wustl.edu/civicrm/even...

Department

Bernard Becker Medical Library, Institute for Informatics, Data Science and Biostatistics, University Libraries

Event Contact

Marcy Vana | vanam@wustl.edu

Speaker Information

Lauren Klein is Winship Distinguished Research Professor and Associate Professor in the departments of Quantitative Theory & Methods and English at Emory University, where she also directs the Digital Humanities Lab. Lauren works at the intersection of data science, AI, and the humanities, with an emphasis on questions of gender and race. She is co-author (with Catherine D’Ignazio) of the award-winning "Data Feminism" (MIT Press, 2020) and co-editor (with Matthew K. Gold) of "Debates in the Digital Humanities" (Univ. of Minnesota Press), among other publications. She is currently completing "Data by Design: An Interactive History of Data Visualization," forthcoming from the MIT Press, and envisioning the Atlanta Interdisciplinary AI Network, which will launch in Fall 2023.
 

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About this Event

Virtual Event

Join us for the Love Data Week virtual keynote presentation by Lauren Klein, author of "Data Feminism" (MIT Press, 2020). 

In "Data Feminism", Klein and her coauthor Catherine D'Ignazio established a set of principles for doing more just and equitable data science. Informed by the past several decades of intersectional feminist activism and critical thought, the principles of data feminism modeled how to examine and challenge power, rethink binaries and hierarchies, elevate emotion and embodiment, consider context, embrace pluralism, and make labor visible. How can these principles be applied to the current conversation about AI, its present harms, and its future possibilities? This talk will briefly summarize the principles of data feminism before moving to a set of examples that show how these principles can be applied–and extended–to our current technological landscape.

This event is open to all. Please register to receive the Zoom link.