Silvana Badaloni: Gender Fairness of Machine Learning Techniques [ACM womENcourage 2020]
CrossMind.ai logo

Silvana Badaloni: Gender Fairness of Machine Learning Techniques [ACM womENcourage 2020]

Jan 25, 2021
|
22 views
Details
In this talk Dr. Silvana Badaloni will discuss how learning algorithms can lead to a strong reinforcement of existing social and gender bias. The problem arises mainly since little attention is paid to how data are collected, processed and organized. Transparency and explainability are two central keywords for developing a trustworthy AI. Silvana is Associate Professor of Artificial Intelligence at the Department of Information Engineering, University of Padova, Italy and Studiosa Senior of Studium Patavinum. She is a Board Member of Elena Cornaro Center on Gender Studies at University of Padova. The 7th ACM Celebration of Women in Computing, womENcourage 2020, took place virtually in Baku, Azerbaijan on 24-27 September 2020. Welcoming 200+ participants registered from about 40 countries and 5 continents, the 4-day event included the Conference segment on Day 1 and 2 with keynote speeches and panel discussions, workshops and tutorials, as well as poster presentations from student researchers, and Expo segment on Day 3 and 4 with Career Fair, where supporting companies arranged promotion and hiring sessions, and Hackathon competition among participating teams.

Comments
loading...