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It has become increasingly clear in the recent years that AI research, far from producing neutral tools, has been concentrating power in the hands of governments and companies and away from marginalized communities. Unfortunately, NeurIPS has lacked a venue explicitly dedicated to understanding and addressing the root of these problems. As Black feminist scholar Angela Davis famously said, "Radical simply means grasping things at the root." Resistance AI exposes the root problem of AI to be how technology is used to rearrange power in the world. AI researchers engaged in Resistance AI both resist AI that centralizes power into the hands of the few and dream up and build human/AI systems that put power in the hands of the people. This workshop will enable AI researchers in general, researchers engaged in Resistance AI, and marginalized communities in particular to reflect on AI-fueled inequity and co-create tactics for how to address this issue in our own work.
Logistics:
We will use the main/webinar Zoom + livestream for most events, with interactive events taking place on a separate auxiliary/breakout Zoom or gather.town. Please see our workshop site for details: https://sites.google.com/view/resistance-ai-neurips-20/schedule
See also our welcome doc here for further detail, including community guidelines and where each activity can be found: http://bit.ly/rai-welcome
Fri 7:00 a.m. - 7:15 a.m.
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Welcome and Land Acknowledgement
(Introduction 1)
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[main/webinar zoom + livestream] |
Suzanne Kite |
Fri 7:15 a.m. - 7:30 a.m.
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Introduction to Resistance AI & Community guidelines
(Introduction 2)
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Suzanne Kite |
Fri 7:30 a.m. - 8:45 a.m.
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Dreaming Up Resistance AI Activity
(Introduction 3)
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Pratyusha Kalluri |
Fri 8:45 a.m. - 9:00 a.m.
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Break
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Fri 9:00 a.m. - 10:00 a.m.
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Panel 1: Tensions & Cultivating Resistance AI
(Discussion panel)
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Abeba Birhane, Timnit Gebru, Noopur Raval, Ramon Vilarino |
Fri 10:00 a.m. - 11:00 a.m.
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Indigenous Protocols and Artificial Intelligence, Working Group Roundtable
(Discussion panel)
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For background on this panel topic please see recent paper on Indigenous Protocols and Artificial Intelligence - http://www.indigenous-ai.net/position-paper |
Suzanne Kite, Ashley Cordes, Oiwi Parker Jones, Jason Lewis |
Fri 11:00 a.m. - 11:25 a.m.
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Discussion in Small Groups
(Breakout acitivty)
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Fri 11:25 a.m. - 11:30 a.m.
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Introduction to Talks 1
(Speaker Introduction)
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Fri 11:30 a.m. - 11:45 a.m.
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Invited Talk 1: Salomon Kabongo
(Invited Talk)
Video
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Salomon Kabongo KABENAMUALU |
Fri 11:45 a.m. - 12:00 p.m.
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Invited Talk 2: Jamelle Watson-Daniels
(Invited Talk)
Video
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Jamelle Watson-Daniels |
Fri 12:00 p.m. - 12:30 p.m.
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Break
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Fri 12:30 p.m. - 1:30 p.m.
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Panel 2: Tensions & Cultivating Resistance AI
(Discussion panel)
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Seeta P Gangadharan, Agata Foryciarz, Mariella Saba, Hamid Khan, Biju Mathew, Vidushi Marda, Micah Carroll |
Fri 1:30 p.m. - 2:30 p.m.
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Poster Session
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Fri 2:30 p.m. - 2:45 p.m.
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Break
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Fri 2:45 p.m. - 2:50 p.m.
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Introduction to Talks 2
(Speaker Introduction)
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Fri 2:50 p.m. - 3:05 p.m.
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Invited Talk 3: Inioluwa Deborah Raji
(Invited Talk)
Video
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Deborah Raji |
Fri 3:05 p.m. - 3:20 p.m.
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Invited Talk 4: Saadia Gabriel
(Invited Talk)
Video
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Saadia Gabriel |
Fri 3:20 p.m. - 4:15 p.m.
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Activity: Making Tactics and Commitments
(Breakout Activity)
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Fri 4:15 p.m. - 5:00 p.m.
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Debrief & Until next time!
(Closing)
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Fri 5:00 p.m. - 6:00 p.m.
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Resistance AI Social
(Social)
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Author Information
Suzanne Kite (N/A)
Mattie Tesfaldet (McGill University & MILA)
J Khadijah Abdurahman (Columbia)
William Agnew (University of Washington)
Elliot Creager (University of Toronto)
Agata Foryciarz (Stanford)
Raphael Gontijo Lopes (Google Brain)
Pratyusha Kalluri (Stanford University)
Marie-Therese Png (University of Oxford)
Manuel Sabin (Berkeley)
Maria Skoularidou (University of Cambridge)
I hold a 4-year Bachelor of Science in Informatics and 2-year Master of Science in Statistical Science both from Athens University of Economics and Business and now I am a second year PhD student at MRC-BSU, University of Cambridge. During my undergraduate studies I was delighted to explore the essentials of information theory and theoretical computer science (complexity, computability, asymptotic theory, algorithmic game theory). Later, as postgraduate student I focused on Bayesian theory and applications, under the insightful supervision of Professor Petros Dellaportas. My fields of interest lie in Bayesian high-dimensional problems, mixture models and probabilistic machine learning.
Ramon Vilarino (Experian DataLabs)
Rose Wang (Stanford)
Sayash Kapoor (Princeton University)
Micah Carroll (UC Berkeley)
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