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Affinity Workshop
Queer in AI Workshop
Arjun Subramonian · Sharvani Jha · Vishakha Agrawal · Juan Pajaro Velasquez · MaryLena Bleile · Michelle Julia Ng

Tue Jul 20 08:00 AM -- 05:00 PM (PDT) @
Event URL: http://queerinai.org/icml-2021 »

Queer in AI’s demographic survey reveals that most queer scientists in our community do not feel completely welcome in conferences and their work environments, with the main reasons being a lack of queer community and role models. Over the past years, Queer in AI has worked towards these goals, yet we have observed that the voices of marginalized queer communities - especially transgender, non-binary folks and queer BIPOC folks - have been neglected. The purpose of this workshop is to highlight issues that these communities face by featuring talks and panel discussions on the inclusion of non-Western non-binary identities; and Black, Indigenous, and Pacific Islander non-cis folks.

Author Information

Arjun Subramonian (University of California, Los Angeles)

Hello! I am a PhD student at UCLA conducting machine learning research, advised by Prof. Yizhou Sun. I also work with Prof. Kai-Wei Chang. My research is broadly about graph representation learning, self-supervised learning, and fairness.

Sharvani Jha (University of California, Los Angeles)
Vishakha Agrawal (Dayananda Sagar College of Engineering)
Juan Pajaro Velasquez (Queer in AI)
MaryLena Bleile (Southern Methodist University)
Michelle Julia Ng (Stanford University)

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