53 citations · 100 across the 10 of their papers we have counts for
8 papers · 1 filter
"I Just Don't Want My Work Being Fed Into The AI Blender": Queer Artists on Refusing and Resisting Generative AI
Jordan Taylor, Joel Mire, Alicia DeVrio +3
Art-making is a collective social activity through which queer people engage in political resistance, develop identities, archive queer memory, and form community. However, in rece…
The Algorithmic Gaze of Image Quality Assessment: An Audit and Trace Ethnography of the LAION-Aesthetics Predictor
Jordan Taylor, William Agnew, Maarten Sap +2
Visual generative AI models are trained using a one-size-fits-all measure of aesthetic appeal. However, what is deemed "aesthetic" is inextricably linked to personal taste and cult…
Un-Straightening Generative AI: How Queer Artists Surface and Challenge the Normativity of Generative AI Models
Jordan Taylor, Joel Mire, Franchesca Spektor +4
Queer people are often discussed as targets of bias, harm, or discrimination in research on generative AI. However, the specific ways that queer people engage with generative AI, a…
Building Solidarity Amid Hostility: Experiences of Fat People in Online Communities
Blakeley H. Payne, Jordan Taylor, Katta Spiel +1
Online communities are important spaces for members of marginalized groups to organize and support one another. To better understand the experiences of fat people -- a group whose…
Whose Knowledge is Valued?: Epistemic Injustice in CSCW Applications
Leah Hope Ajmani, Jasmine C Foriest, Jordan Taylor +3
Social computing scholars have long known that people do not interact with knowledge in straightforward ways, especially in digital environments. While policies around knowledge ar…
Situating Data Sets: Making Public Data Actionable for Housing Justice
Anh-Ton Tran, Grace Guo, Jordan Taylor +3
Activists, governmentsm and academics regularly advocate for more open data. But how is data made open, and for whom is it made useful and usable? In this paper, we investigate and…
Cruising Queer HCI on the DL: A Literature Review of LGBTQ+ People in HCI
Jordan Taylor, Ellen Simpson, Anh-Ton Tran +3
LGBTQ+ people have received increased attention in HCI research, paralleling a greater emphasis on social justice in recent years. However, there has not been a systematic review o…
Seeing Seeds Beyond Weeds: Green Teaming Generative AI for Beneficial Uses
Logan Stapleton, Jordan Taylor, Sarah Fox +2
Large generative AI models (GMs) like GPT and DALL-E are trained to generate content for general, wide-ranging purposes. GM content filters are generalized to filter out content wh…