Workshop: Queer in AI Workshop @ NeurIPS 2020

Raphael Gontijo Lopes, Luke Stark, Melvin Selim Atay, Ti John

2020-12-08T07:00:00-08:00 - 2020-12-08T12:30:00-08:00
Abstract: Queer in AI's third NeurIPS workshop comes amidst a global pandemic, uprisings against police brutality and economic injustice in countries around the world, and the specter of increasingly rapid climate breakdown. These challenges militate against business as usual in AI/ML. Our workshop asks its participants to think and work hard to bring a radical spirit to their technical and social work, and to fight for the rights and freedoms of queer people, and all people, around the world.

To access the NeurIPS events check-in survey, go to https://forms.gle/LNnhCHTXN49hBB8W7

Queer In AI’s mission is to make the AI/ML community one that welcomes, supports, and values queer scientists from around the world. We accomplish this aim by building a visible community of queer and ally AI/ML scientists through meetups, poster sessions, mentoring, and other initiatives. We also recognize the growing impact AI/ML has on societies around the globe, and the potential for these powerful learning and classification technologies to out and target queer people, in addition to other issues. A central part of Queer in AI's mission is raising awareness of these societal challenges in the general AI/ML community and encouraging and highlighting research on and solutions to these problems.

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Schedule

2020-12-08T07:00:00-08:00 - 2020-12-08T07:10:00-08:00
Workshop Welcome
Luke Stark
2020-12-08T07:10:00-08:00 - 2020-12-08T07:50:00-08:00
Anna Hoffmann: "Something Had Been Ruined Forever: Interrupting AI Ethics"
Anna Lauren Hoffmann
In this talk, Anna Lauren Hoffmann interrupts the idea of "potential" in AI ethics discourse. She traces the ways it idealizes AI's development and forestalls certain critical—and especially queer—engagements with the historical and present violences perpetuated by data science and technology. Bio: Anna Lauren Hoffmann is an Assistant Professor at The Information School, University of Washington. Her writing on data, technology, and ethics has appeared in New Media & Society, Information, Communication, & Society, The Library Quarterly, and The Los Angeles Review of Books.
2020-12-08T07:50:00-08:00 - 2020-12-08T08:15:00-08:00
Anna Hoffmann Q&A
Anna Lauren Hoffmann, Luke Stark
Moderated by Luke Stark, University of Western Ontario
2020-12-08T08:15:00-08:00 - 2020-12-08T09:00:00-08:00
Panel: Queering AI Ethics Education
Panelists: Casey Fiesler, University of Colorado-Boulder Blake W. Hawkins, Independent Scholar Neil D. Ryan, University of Washington Moderator: Luke Stark, University of Western Ontario
2020-12-08T09:00:00-08:00 - 2020-12-08T09:30:00-08:00
Break & Sponsor Booths
Please visit our NeurIPS 2020 sponsors at their virtual booths! Apple: https://neurips.cc/ExpoConferences/2020/Sponsorpage?id=654 DeepMind: https://neurips.cc/ExpoConferences/2020/Sponsorpage?id=642 Google: https://meet.google.com/fcq-esdd-qcp | https://neurips.cc/ExpoConferences/2020/Sponsorpage?id=656 Microsoft: https://neurips.cc/ExpoConferences/2020/Sponsorpage?id=636 Secondmind: https://neurips.cc/ExpoConferences/2020/Sponsorpage?id=703
2020-12-08T09:30:00-08:00 - 2020-12-08T10:15:00-08:00
Panel: Trans-Inclusive Academic Publishing
Panelists: Stuart King, eLife Sciences Publications Irving Rettig, Portland State University Robyn Speer, Luminoso Nikita Srivatsan, Carnegie Mellon University Tess Tanenbaum, University of California-Irvine Moderator: Melvin Selim Atay, Middle East Technical University
2020-12-08T10:15:00-08:00 - 2020-12-08T10:25:00-08:00
Sponsor Presentations
Priscilla Leung, Chloe Tims, Crystal Schroeder
2020-12-08T10:25:00-08:00 - 2020-12-08T10:55:00-08:00
Laura Montoya: "Beyond the Binary"
Laura Montoya
Abstract: We will explore the intersection of genetic, neuroanatomical, psychological, and computational sciences as they relate to gender, sexuality, and society through a western cultural lens. In our continued exploration for true artificial general intelligence, we must look at the summation of research across scientific and sociological disciplines including in diversity of identity and attraction. True AGI is said to be able to adapt and transfer learnings, creating connections between domains, furthering investigation, and experience. Bio: Lead on tech social impact and ethical AI development, Laura is the founder and Managing Partner of Accel Impact Organizations, including Accel AI Institute, Latinx in AI (LXAI), and Research Colab. Her academic background is in Biology, Physical Science, and Human Development. She relocated to the San Francisco Bay area to work at the Mathematical Sciences Research Institute before jump-starting her career in software engineering at Intuit revamping their Quickbooks online platform. She is a director with Women Who Code, advisor for Udacity’s AI and Data nano degree, and an affiliate with the Berkman Klein Center for Internet and Society at Harvard Law. She chairs and serves on Program Committees for research workshops at AI and ML conferences including NeurIPS, ICLR, ICML, and ACM FAccT. Recent research areas include reducing bias data representations in machine learning models, the effects of artificial intelligence development for developing countries, and paralleling biological and synthetic neural networks seen in mycology, entomology, and computational science. She has led sessions on social impact, tech diversity, and ethical AI development for Creative Mornings, Katapult Future Fest, Silicon Valley Future Forum, Tech Inclusion Conference, Thrival Summit, Global Hive Summit, and keynoted the “Future of Work” for the Data and Society Conference at UC Berkeley. Laura has given guest lectures and technical workshops at Google, Santa Clara University Law, Stanford University Computational Social Science, and GTC Deep Learning School. Recently she spoke at TEDx Santa Barbara and has been featured in WITtalks and CIIS podcasts, Xconomy, Verizon News, and Forbes Leadership.
2020-12-08T10:55:00-08:00 - 2020-12-08T11:30:00-08:00
Laura Montoya Q&A
Laura Montoya, William Agnew
Moderated by William Agnew, University of Washington
2020-12-08T11:30:00-08:00 - 2020-12-08T12:15:00-08:00
Panel: What Are We Going to Do About Computer Vision?
Panelists: Emily Denton, Google Raphael Gontijo Lopes, Google Brain Jevan Hutson, University of Washington Law School Morgan Klaus Scheuerman, University of Colorado-Boulder Moderator: William Agnew, University of Washington
2020-12-08T12:15:00-08:00 - 2020-12-08T12:30:00-08:00
Thanks & Sponsor Booths
Luke Stark
Please visit our NeurIPS 2020 sponsors at their virtual booths! Apple: https://neurips.cc/ExpoConferences/2020/Sponsorpage?id=654 DeepMind: https://neurips.cc/ExpoConferences/2020/Sponsorpage?id=642 Google: https://meet.google.com/fcq-esdd-qcp | https://neurips.cc/ExpoConferences/2020/Sponsorpage?id=656 Microsoft: https://neurips.cc/ExpoConferences/2020/Sponsorpage?id=636 Secondmind: https://neurips.cc/ExpoConferences/2020/Sponsorpage?id=703
2020-12-10T18:00:00-08:00 - 2020-12-10T20:00:00-08:00
Queer in AI NeurIPS Social Event #1
The NeurIPS 2020 Socials will be held via gather.town. To access the social, please fill out the following short survey: https://forms.gle/qk54SK1Bw6S36Tem7
2020-12-11T05:00:00-08:00 - 2020-12-11T07:00:00-08:00
Queer in AI NeurIPS Social Event #2
The NeurIPS 2020 Social will be held via gather.town. To access the social, please fill out the following short survey: https://forms.gle/qk54SK1Bw6S36Tem7