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Workshop
Resistance AI Workshop
Suzanne Kite · Mattie Tesfaldet · J Khadijah Abdurahman · William Agnew · Elliot Creager · Agata Foryciarz · Raphael Gontijo Lopes · Pratyusha Kalluri · Marie-Therese Png · Manuel Sabin · Maria Skoularidou · Ramon Vilarino · Rose Wang · Sayash Kapoor · Micah Carroll

Fri Dec 11 07:00 AM -- 05:30 PM (PST) @ None
in Workshops Fri »
Event URL: https://sites.google.com/view/resistance-ai-neurips-20 »

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.

[main/webinar zoom + livestream]

 Suzanne Kite
Fri 7:15 a.m. - 7:30 a.m.
Introduction to Resistance AI & Community guidelines (Introduction 2)
Suzanne Kite
Fri 7:30 a.m. - 8:45 a.m.
Dreaming Up Resistance AI Activity (Introduction 3)
Pratyusha Kalluri
Fri 8:45 a.m. - 9:00 a.m.
Break
Fri 9:00 a.m. - 10:00 a.m.
Panel 1: Tensions & Cultivating Resistance AI (Discussion panel)
Abeba Birhane, Timnit Gebru, Noopur Raval, Ramon Vilarino
Fri 10:00 a.m. - 11:00 a.m.

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.
Discussion in Small Groups (Breakout acitivty)
Fri 11:25 a.m. - 11:30 a.m.
Introduction to Talks 1 (Speaker Introduction)
Fri 11:30 a.m. - 11:45 a.m.
Invited Talk 1: Salomon Kabongo (Invited Talk)
Salomon Kabongo KABENAMUALU
Fri 11:45 a.m. - 12:00 p.m.
Invited Talk 2: Jamelle Watson-Daniels (Invited Talk)   
 Jamelle Watson-Daniels
Fri 12:00 p.m. - 12:30 p.m.
Break
Fri 12:30 p.m. - 1:30 p.m.
Panel 2: Tensions & Cultivating Resistance AI (Discussion panel)
Seeta P Gangadharan, Agata Foryciarz, Mariella Saba, Hamid Khan, Biju Mathew, Vidushi Marda, Micah Carroll
Fri 1:30 p.m. - 2:30 p.m.
Poster Session
Fri 2:30 p.m. - 2:45 p.m.
Break
Fri 2:45 p.m. - 2:50 p.m.
Introduction to Talks 2 (Speaker Introduction)
Fri 2:50 p.m. - 3:05 p.m.
Invited Talk 3: Inioluwa Deborah Raji (Invited Talk)   
 Deborah Raji
Fri 3:05 p.m. - 3:20 p.m.
Invited Talk 4: Saadia Gabriel (Invited Talk)   
 Saadia Gabriel
Fri 3:20 p.m. - 4:15 p.m.
Activity: Making Tactics and Commitments (Breakout Activity)
Fri 4:15 p.m. - 5:00 p.m.
Debrief & Until next time! (Closing)
Fri 5:00 p.m. - 6:00 p.m.
Resistance AI Social (Social)

Author Information

Suzanne Kite (N/A)
Mattie Tesfaldet (McGill University & MILA)

Mattie Tesfaldet (they/them) is a computer vision and machine learning researcher, artist, and DJ based in Montréal, Canada. They are pursuing their PhD at McGill University and Mila researching generative models for visual content creation, specifically, looking for novel and interesting ways images and videos can be represented with neural networks. Outside of academia, they like to apply their research with the aim of exploring the intersection of human creativity and artificial intelligence. Particularly, developing new AI-based mediums for communication, expression, and sharing of visual imagery.

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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