When:
October 17, 2024 @ 3:00 pm – 5:00 pm
2024-10-17T15:00:00-07:00
2024-10-17T17:00:00-07:00
Where:
Digital Humanities Center, King Library, San Jose State University (or via Zoom)
Cost:
Free
Contact:
Dear Friends,
Please join us in person (in San Jose, California) or virtually for this invigorating talk by Dr. Lauren Klein on “Data Feminism for AI.” We’ll have plenty of time for Q&A (from both in-person and virtual) audience members.
Date: Oct 17, 3-5pm PST
Location: Digital Humanities Center, King Library, San Jose State University (or via Zoom)
Please join us for a conversation with Dr. Lauren Klein in the new SJSU Digital Humanities Center. The development and use of artificial intelligence has become a hot button topic all over the world. How we use and collect data becomes the foundation for data storytelling. But, is this all okay? What is data? How is it being collected? What can we do about this? Are there innovative and ethical ways to use our data within the development of artificial intelligence?
In Data Feminism (MIT Press, 2020), 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 real-world examples that show how these principles can be applied – and extended – in our current technological landscape.
In Data Feminism (MIT Press, 2020), 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 real-world examples that show how these principles can be applied – and extended – in our current technological landscape.
This event is appropriate for those new to Data Science and data storytelling, especially students, as well as those more advanced in their knowledge and research. If you are looking for assignments or extra teaching materials to support your curriculum, you might take a look at the archived Reading Group for Data Feminism. It’s a chapter-by-chapter gathering that was hosted online by Dr. Klein and her co-author, Dr. D’Ignazio. Data Feminism is also freely available to read online!
We’ll be raffling off copies of Data Feminism to in-person attendees, thanks to the generous sponsorship of the Department of Humanities, SJSU.
The Zoom link will be distributed prior to the event.
We invite robust and ongoing conversation in the Zoom chat! The chat will be staffed with students from the Mozilla Responsible Computing Club.
Please submit questions in advance for Dr. Klein via the registration form.
Please submit questions in advance for Dr. Klein via the registration form.
We will distribute the recording after the event to those who have registered. Hope to see you there.
See you soon!
Kathy
