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The quickly advancing field of machine learning is exciting but raises complex ethical and social questions. How can we best use AI for varying applications while avoiding discrimination and lack of sensitivity to its users? Particularly, queer users of machine learning systems can fall victim to these often discriminatory, biased, and insensitive algorithms. In addition, there is a fundamental tension between the queer community, which defies categorization and reduction, and the current ubiquitous use of machine learning to categorize and reduce people. We want to raise awareness of these issues among the research community. But in order to do so, we need to make sure that the queer community is comfortable among their peers both in the lab and at conferences.
Our survey data shows that well over half of the queer attendees at ICML and NeurIPS are not publicly out, and while we can see a slow improvement in how welcome queer attendees are feeling, we want to see this encouraging trend continue and make queer researchers feel that they can bring their whole selves to these conferences. The most commonly cited obstacles to this were lack of community and lack of role models. We have been working with conference organizers and the queer community to move towards these goals. By organizing this workshop we will give queer people at ICML a visible community as well as highlight role models in the form of openly queer speakers in high-profile, senior roles.
We focus on two topics: first, any struggles of queer researchers are multiplied for those who are also members of black and minority ethnic communities and/or from non-"Western" countries, and we want to focus on how we can engage and live solidarity with global queer communities.
Second, we believe the first step for creating more diverse and inclusive algorithms is talking about the problems and increasing the visibility of queer people in the machine learning community. By bringing together both queer people and allies, we can start conversations around biases in data and how these algorithms can have a negative impact on the queer community, and we want to discuss the intersection of AI policy and queer privacy.
Mon 2:00 p.m. - 3:55 p.m.
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Joint poster session with Women in Machine Learning, LatinX in AI, and Queer in AI
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Poster session
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link »
Joint Affinity Groups Poster Session with LatinX in AI and Women in ML in Gather.town Gather.town link: https://gather.town/a7rD0IqHvR5e63cg/affinitygroupsposters ICML registration required to enter. Entry is first-come-first-serve. If at first you are not able to enter, check back again, as people will be coming in and out of the Gather.town space, just like any in-person space. If you join the poster session, please fill in our check-in survey! Thanks :-) |
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Tue 7:55 a.m. - 8:00 a.m.
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>>> Please fill in our Check-in Survey! <<<
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Survey
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For each of our events this week that you join, please fill in our check-in survey! Many thanks :-) |
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Tue 8:00 a.m. - 8:10 a.m.
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Intro
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Talk
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ST John 🔗 |
Tue 8:10 a.m. - 8:30 a.m.
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Queering Machine Learning
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Talk
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SlidesLive Video » "I'd like to pose the question of whether it is important to meet and organise as Queer in AI (or any of the other community groups we belong to). This question will take a path of asking what it means 'to queer' our field of machine learning, by critiquing its technical values. This queering of our field allows us to both question the path of technological change we are contributing to, as well as the forms those contributions might take. Going from technical frameworks in machine learning, a history of queer activism, and thinking about the role of inclusion and solitude, I'd like to weave a story of of criticism and connection, and of the ways that we can create collective strength. It is by drawing on this strength that I believe we can demonstrate the types of alternative community that are already possible, and continue our work to develop the future technology that supports greater wellbeing for everyone." |
Shakir Mohamed 🔗 |
Tue 8:30 a.m. - 9:25 a.m.
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Angelic Troublemaking for Queer Communities with Bisi Alimi
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Fireside Chat
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A conversation about angelic troublemakers, queer responses to our changing world, and the role of queerness in technology and AI. |
Shakir Mohamed · Bisi Alimi 🔗 |
Tue 9:30 a.m. - 10:30 a.m.
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Engagement and Solidarity with Global Queer Communities
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Panel Discussion
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Raphael Gontijo Lopes · Bisi Alimi · Faris Gezahegn · Ida Momennejad · Tan Zhi-Xuan 🔗 |
Tue 10:30 a.m. - 10:50 a.m.
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Break & sponsors
If you'd like to talk to our sponsors, you can get in touch with them on the following URLs: |
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Tue 10:50 a.m. - 11:10 a.m.
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"Queer" in AI: Moral Injury and Going Beyond Resilience
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Talk
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Identifying as "Queer" not only reclaims a slur but acknowledges and embraces how we must move through the world: queerly, weirdly, outside of the lines. What toll does it take to consistently have to walk outside of the lines, and yet what experiences does it give us that we wouldn't trade for anything? |
Manuel Sabin 🔗 |
Tue 11:10 a.m. - 12:10 p.m.
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AI Policy and Queer Privacy
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Panel Discussion
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Jevan Hutson · Alex Hanna · Manuel Sabin · kade crockford 🔗 |
Tue 12:10 p.m. - 12:20 p.m.
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Sponsor presentations
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Talk
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2-min sponsor presentations from Apple, Deep Mind, Google AI, Nvidia, and Microsoft |
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Tue 12:10 p.m. - 12:15 p.m.
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Outro / move to discussion groups
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Talk
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ST John 🔗 |
Tue 12:15 p.m. - 1:00 p.m.
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Open discussion in breakout rooms
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Open Discussion
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link »
Open discussion in Zoom breakout rooms on various topics:
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Stephen Molldrem · Olivia Guest · Mustafa Hussain · Luke Stark · Jevan Hutson · Alex Hanna 🔗 |
Wed 12:00 a.m. - 1:00 a.m.
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Queer in AI Social (I)
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Social
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Interact with other attendees and sponsors in a virtual world, videochat with those near you, using the Gather.town platform. The time hopefully works for everyone from the Americas to Africa! Link to join: https://gather.town/0oyXAHukFb7CBMdT/ICML-QAI-Social -- by joining you agree to abide by the Queer in AI Code of Conduct. If you join the social, please fill in our check-in survey! Thanks :-) |
Alex Markham · ST John 🔗 |
Thu 12:00 a.m. - 2:30 a.m.
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Intro; Queering Machine Learning; Angelic Troublemaking for Queer Communities; Panel on Engagement and Solidarity with Global Queer Communities
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Talks and Panel Discussion
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Re-streaming of Tuesday's first block, with live text chat (Rocketchat). |
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Thu 2:30 a.m. - 2:50 a.m.
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Break & sponsors
Talk to our sponsors: Google AI - http://meet.google.com/ask-raxi-kho Apple - https://icml.cc/ExpoConferences/2020/Sponsorpage?id=185 |
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Thu 2:50 a.m. - 4:10 a.m.
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"Queer" in AI: Moral Injury and Going Beyond Resilience; Panel on AI Policy and Queer Privacy; Sponsor presentations
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Talks and Panel Discussion
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Re-streaming of Tuesday's second block, with live text chat (Rocketchat). |
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Thu 4:10 a.m. - 5:00 a.m.
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Open discussion in breakout rooms
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Open Discussion
)
link »
Open discussion in Zoom breakout rooms, e.g. on * Engagement and Solidarity with Global Queer Communities * AI Policy and Queer Privacy * General chat Join the [ protected link dropped ] |
Shakir Mohamed · Faris Gezahegn · ST John 🔗 |
Sat 12:00 a.m. - 2:00 a.m.
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Queer in AI Social (II)
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Social
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Interact with other attendees and sponsors in a virtual world, videochat with those near you, using the Gather.town platform. The time hopefully works for everyone from Africa to Asia. Link to join: https://gather.town/0oyXAHukFb7CBMdT/ICML-QAI-Social -- by joining you agree to abide by the Queer in AI Code of Conduct. If you join the social, please fill in our check-in survey! Thanks :-) |
Alex Markham · Melvin Selim Atay · Manu Saraswat 🔗 |
Author Information
ST John (PROWLER.io)
William Agnew (University of Washington)
Anja Meunier (University of Vienaa)
Alex Markham (University of Vienna)
I'm a third year PhD student in the Neuroinformatics research group at the University of Vienna. My research focuses on causal discovery methods and especially their application to the brain sciences.
Manu Saraswat (University of British Columbia)
Andrew McNamara (Microsoft Research)
Raphael Gontijo Lopes (Google Brain)
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2023 Poster: Causal Modeling of Policy Interventions From Sequences of Treatments and Outcomes using Gaussian Processes »
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2023 Oral: Memory-Based Dual Gaussian Processes for Sequential Learning »
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2022 Affinity Workshop: Queer in AI @ ICML 2022 Affinity Workshop »
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2022 : Contributed Talk 1: When does dough become a bagel?Analyzing the remaining mistakes on ImageNet »
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2022 Spotlight: Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time »
Mitchell Wortsman · Gabriel Ilharco · Samir Gadre · Rebecca Roelofs · Raphael Gontijo Lopes · Ari Morcos · Hongseok Namkoong · Ali Farhadi · Yair Carmon · Simon Kornblith · Ludwig Schmidt -
2020 Social: Queer in AI Social (II) »
Alex Markham · Melvin Selim Atay · Manu Saraswat -
2020 : Amodal 3D Reconstruction for Robotic Manipulation via Stability and Connectivity »
William Agnew -
2020 : Open discussion in breakout rooms »
Shakir Mohamed · Faris Gezahegn · ST John -
2020 Social: Queer in AI Social (I) »
Alex Markham · ST John -
2020 : Outro / move to discussion groups »
ST John -
2020 : Engagement and Solidarity with Global Queer Communities »
Raphael Gontijo Lopes · Bisi Alimi · Faris Gezahegn · Ida Momennejad · Tan Zhi-Xuan -
2020 : Intro »
ST John -
2019 : Spotlight »
Tyler Scott · Kiran Koshy · Jonathan Aigrain · Rene Bidart · Priyadarshini Panda · Dian Ang Yap · Yaniv Yacoby · Raphael Gontijo Lopes · Alberto Marchisio · Erik Englesson · Wanqian Yang · Moritz Graule · Yi Sun · Daniel Kang · Mike Dusenberry · Min Du · Hartmut Maennel · Kunal Menda · Vineet Edupuganti · Luke Metz · David Stutz · Vignesh Srinivasan · Timo Sämann · Vineeth N Balasubramanian · Sina Mohseni · Rob Cornish · Judith Butepage · Zhangyang Wang · Bai Li · Bo Han · Honglin Li · Maksym Andriushchenko · Lukas Ruff · Meet P. Vadera · Yaniv Ovadia · Sunil Thulasidasan · Disi Ji · Gang Niu · Saeed Mahloujifar · Aviral Kumar · SANGHYUK CHUN · Dong Yin · Joyce Xu Xu · Hugo Gomes · Raanan Rohekar -
2019 Workshop: Generative Modeling and Model-Based Reasoning for Robotics and AI »
Aravind Rajeswaran · Emanuel Todorov · Igor Mordatch · William Agnew · Amy Zhang · Joelle Pineau · Michael Chang · Dumitru Erhan · Sergey Levine · Kimberly Stachenfeld · Marvin Zhang -
2018 Poster: Large-Scale Cox Process Inference using Variational Fourier Features »
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2018 Oral: Large-Scale Cox Process Inference using Variational Fourier Features »
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