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Presented By: Michigan Institute for Data Science

Rewriting Conventional Societal Narratives with Data and AI

MIDAS, Digital Studies Institute, Institute for Research on Women & Gender, and Women of Color Code mini-symposium

AI Generated image of a tree filled with lights growing out from a book AI Generated image of a tree filled with lights growing out from a book
AI Generated image of a tree filled with lights growing out from a book
The ubiquity of data and the emergence of Artificial Intelligence (AI) are rapidly reshaping every aspect of human society. However, as with any emerging technology, data and AI are deeply entwined with our social matrix. Many scholars have been directing our attention to how data and AI can amplify the existing structural and cultural injustice. At the U-M Data Science and AI Summit 2020, Catherine D’ignazio and Lauren Klein, authors of the now classic “Data Feminism”, advocated for data scientists to adopt principles of feminism to challenge authority and convention, which sparked enthusiastic calls for actions on campus. In this mini-symposium, we will hear presentations from leading researchers who have done just that: using data and AI to challenge and rewrite the conventional narrative about a variety of social issues. We will also organize faculty research roundtable discussions to stimulate new research ideas under the same theme.

Registration: https://umich.zoom.us/webinar/register/WN_fFkP_nPEQjKw5aRZJotm-A

For more details, please visit our event page: https://midas.umich.edu/rewriting-conventional-narratives/
AI Generated image of a tree filled with lights growing out from a book AI Generated image of a tree filled with lights growing out from a book
AI Generated image of a tree filled with lights growing out from a book

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