Data Night 11: Data Feminism

It's time for Data Night #11.

19:20 Welcome and Intro
⚠️ We start 10 minutes earlier - at 19:20 sharp - so we can do the introduction before our speaker joins us.

19:30 Data Feminism (talk)
Doing AI Differently: Lessons from Intersectional Feminism
Speaker: Lauren Klein - Associate Professor at Emory University, co-author Data Feminism

In Data Feminism (MIT Press, 2020), Lauren 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–in our current technological landscape.

Lauren will join us (virtually) form the US to give a talk about data feminism.

20:30 Discussion / open stage
After the session, we have room for discussion about topics discussed during the talk.