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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.
Tue 8:00 a.m. - 8:40 a.m.
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Panel Discussion: Gender Across Cultures ( Panel Discussion ) link » | Sharvani Jha · Shubha Chacko · Juan Pajaro Velasquez 🔗 |
Tue 8:45 a.m. - 9:00 a.m.
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Small-Group Discussion: Gender Across Cultures ( Discussion ) link » | Sharvani Jha 🔗 |
Tue 1:00 p.m. - 1:10 p.m.
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Introduction
(
Intro
)
link »
Land Acknowledgement, Overview of Demographic Survey, Queer in AI Initiatives, Code of Conduct Code of conduct: https://sites.google.com/view/queer-in-ai/code-of-conduct |
Arjun Subramonian 🔗 |
Tue 1:10 p.m. - 2:00 p.m.
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Advocating for Trans Inclusive Name Change Policies and Practices in Academic Publishing ( Talk ) link » | Tess Tanenbaum 🔗 |
Tue 2:10 p.m. - 2:30 p.m.
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Non-Binary Representation in AI ( Talk ) link » | Lelia Marie Hampton 🔗 |
Tue 2:35 p.m. - 2:55 p.m.
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Queer in AI Inclusive Conference Guide & Code of Conduct Reminder
(
Talk
)
link »
Code of conduct: https://sites.google.com/view/queer-in-ai/code-of-conduct |
MaryLena Bleile · Arjun Subramonian 🔗 |
Tue 3:10 p.m. - 3:55 p.m.
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Intersectionality Gathering & Community Storytelling Session ( Talk ) link » | Elia Ovalle 🔗 |
Tue 4:00 p.m. - 4:40 p.m.
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Panel Discussion: Creating safer spaces for trans and non-binary folks ( Panel Discussion ) link » | Juan Pajaro Velasquez · Fernanda Carles · María B Giménez · Kendra Albert 🔗 |
Tue 4:45 p.m. - 5:00 p.m.
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Small-Group Discussion: Creating safer spaces for trans and non-binary folks ( Discussion ) link » | Juan Pajaro Velasquez 🔗 |
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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