Rewriting Conventional Societal Narratives with Data and AI
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.
All are welcome to attend the featured speaker presentations. Faculty members who are interested in developing new research ideas or collaboration are strongly encouraged to also attend the research roundtable. Sign-up is strongly encouraged for both activities.