Os Keyes
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Articles by Os Keyes
Gender Politics and the Weaponization of Personal Data
Katelyn Ringrose is a visiting fellow at the Tech & Public Policy Program at Georgetown University’s McCourt School of Public Policy. CJ Larkin is a Public Policy Scholar at Georgetown University. Os Keyes is a Postdoctoral Fellow in the Department of Political Science at the University of Massachusetts, Lowell. Jay T. Conrad is a PhD in Law student at the University of Washington.
Beyond Trans Archives, Beyond Trans Medicine
In early 2022, looking around at an increasingly hostile and transphobic public space, and seeking a research topic that mattered, I decided to research the history of transgender medicine.1 I was interested in how the field developed, how research was (and is) entangled in the provision of care, how policymaking does (or does not) take up this research, and the consequences of all of this for patients.
The Infopolitics of feeling: How race and disability are configured in Emotion Recognition Technology
Introduction In her 2020 biography Girl Decoded, Rana el Kaliouby, the founder and CEO of the then-leading Emotion artificial intelligence (AI) firm Affectiva writes, Artificial Intelligence, or AI, is the science of training computers to think and reason like human beings. Emotion AI is focused on training computers to recognize, quantify, and respond to human emotion, something that traditional computers were not built to do.
How Census Data Put Trans Children at Risk
Every decade, the U.S. Census Bureau counts the people in the United States, trying to observe the balance between gathering accurate information and protecting the privacy of the people described in that data. But current technology can reveal a person’s transgender identity by linking seemingly anonymized information such as their neighborhood and age to discover that their sex was reported differently in successive censuses.
Condition Critical — Real Life
In September 2021, the Wall Street Journal reported on Apple’s plans to integrate diagnostic technologies into its phones. The idea is to use their various sensors and features — from high-resolution cameras to gyroscopes to usage analytics — to assess the possible presence of various medical conditions.
It Doesn’t Make Sense to Treat Facebook Like a Public Utility
by Os Keyes | Jan 11, 2022 | News | Facebook is a lot like a landfill, not only because it’s full of other people’s shit but because, while everyone agrees something needs to be done about it, nobody seems to quite know what.
Now You See It - Real Life
Every few months, a story comes across my Twitter or Instagram or Facebook (yes, I’m old) featuring a range of Ziggy Stardust-esque faces held up as the way to defeat facial recognition. And every few months, when I see this, I roll my eyes so hard they almost fall out of my head. That’s because this approach — sometimes called “CV dazzle” (CV as in “computer vision”) or “dazzle makeup” — is about as useless as it is popular among researchers, journalists, and influencers.
Standard Evasions — Real Life
http://reallifemag.com/wp-content/uploads/2021/08/Standard-Evasions.mp3 Full-text audio version of this essay.
Seeing infrastructure: race, facial recognition and the politics of data
ABSTRACT Facial recognition technology (FRT) has been widely studied and criticized for its racialising impacts and its role in the overpolicing of minoritised communities. However, a key aspect of facial recognition technologies is the dataset of faces used for training and testing.
Automating autism: Disability, discourse, and Artificial Intelligence
Home > Sociotechnical Critique > Vol. 1 > Iss. 1 (2020) Abstract As Artificial Intelligence (AI) systems shift to interact with new domains and populations, so does AI ethics: a relatively nascent subdiscipline that frequently concerns itself with questions of “fairness” and “accountability.” This fairness-centred approach has been criticized for (amongst other things) lacking the ability to address discursive, rather than distributional, injustices.
Volume 25, Number 10 - 5 October 2020
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Surveillance, stigma & sociotechnical design for HIV
Calvin Liang University of Washington, Department of Human Centered Design & Engineering https://orcid.org/0000-0002-3795-3441 Jevan Alexander Hutson University of Washington, School of Law https://orcid.org/0000-0003-3312-1733 Os Keyes University of Washington, Department of Human Centered Design & Engineering https://orcid.org/0000-0001-5196-609X Keywords: HIV, online dating, design, policy, surveillance, intimacy, social computing, social justice Abstract Online dating and hookup platforms...
The Misgendering Machines
Abstract Automatic Gender Recognition (AGR) is a subfield of facial recognition that aims to algorithmically identify the gender of individuals from photographs or videos. In wider society the technology has proposed applications in physical access control, data analytics and advertising. Within academia, it is already used in the field of Human-Computer Interaction (HCI) to analyse social media usage.
Discursive Harms — Real Life
Over the past few years, my work as a Ph.D. student has increasingly focused on how classification and data-oriented approaches to the world can cause harm, particularly to queer and/or trans lives. From biases caused by underrepresentation to the fundamental difficulty of representing queerness in machine learning — which depends on fixed categories and is rather allergic to fluidity — there are many problems and no clear solutions.
The Bones We Leave Behind — Real Life
It can seem as if the tide has begun to turn against facial recognition technology. Controversies — from racist and transphobic implementations appearing in policing to the concerns of privacy advocates about the billions of images these systems gather — have drawn attention to the risks the technology poses and its potential to strengthen an already overwhelming carceral state while perpetuating so-called surveillance capitalism.
[1908.01024] What is the Point of Fairness? Disability, AI and The Complexity of Justice
[Submitted on 2 Aug 2019 (v1), last revised 9 Aug 2019 (this version, v3)] Authors:Cynthia L. Bennett, Os Keyes Download PDF Abstract: Work integrating conversations around AI and Disability is vital and valued, particularly when done through a lens of fairness.
The Gardener’s Vision of Data — Real Life
A few weeks ago, Nikki Stevens, Jacqueline Wernimont, and I published an exposé on the use of non-consensually gathered, highly sensitive facial-recognition datasets by the National Institute of Standards and Technology, a part of the U.S. Department of Commerce. To test and refine facial-recognition systems, NIST is using immigrant visa photos, photos of abused children, and myriad other troubling datasets, without the consent of those within them.
Actually, We Should Not All Use They/Them Pronouns
A response to a recent Scientific American essay Credit: Getty Images Abigail Saguy and Julie Williams recently published an op-ed on the Scientific American website advocating that we begin addressing everyone with gender-neutral pronouns (“they,” “them”) rather than binary-gendered pronouns (“he,” “him” or “she,” “her”). They assert the act of gendering highlights gender when it is not relevant in social interaction.
Counting the Countless — Real Life
This piece originated as a talk at Seattle University. Well, really it originated as a question from the Seattle Non-Binary Collective, a group of Seattle residents and visitors with genders beyond the binary of “man” and “woman.” They reached out and asked, “We hear you’re a data scientist.
What is 'responsible' in Responsible AI?
Google recently announced a new advisory board on responsible AI, and itâs a nice demonstration of precisely how fucked up things are in AI ethics right now. The biggest and most obvious WTF is the presence of the President of the Heritage Foundation, an American far-right thinktank whose politics are eye-wateringly terrifying.
Counting the Countless
Reconstructed transcript of a talk I gave at Seattle University earlier this year Good evening everyone! My name is Os, and I’m a PhD student at the University of Washington. According to my website I study gender, data, technology and control; it also says that I’m an inaugural Ada Lovelace Fellow. And I’m here for a variety of reasons, but one of the big ones is that I really enjoy giving talks.
The Government Uses Images of Abused Children and Dead People to Test Facial Recognition Tech
Skip to the content How do we understand privacy and consent in a time when mere contact with law enforcement and national security entities is enough to enroll your face in someone’s testing? It Was Mocked as Cringe Resistance Liberalism. A New Generation of Activists Has Embraced It as an Anti-ICE Symbol. It’s Perhaps the Most Special Kind of Bond Between Human Beings. Well, Not if ICE Has Its Way.
Counting the Countless: Data, Infrastructure, and Queer Pluralities
I’m going to be giving a talk, provisionally titled Counting the Countless: Data, Infrastructure, and Queer Pluralities, as part of Seattle University’s Trans* Visions Lecture Series. Anyone can come along! Details:
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