Renee Shelby

According to our database, Renee Shelby authored at least 14 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Harm Amplification in Text-to-Image Models.

Susan Hao, Renee Shelby, Yuchi Liu, Hansa Srinivasan, Mukul Bhutani, Burcu Karagol Ayan, Shivani Poddar, Sarah Laszlo

CoRR, 2024

2023

Terms-we-serve-with: Five dimensions for anticipating and repairing algorithmic harm.

Bogdana Rakova, Renee Shelby, Megan Ma

Big Data Soc., July, 2023

How Knowledge Workers Think Generative AI Will (Not) Transform Their Industries.

Allison Woodruff, Renee Shelby, Patrick Gage Kelley, Steven Rousso-Schindler, Jamila Smith-Loud, Lauren Wilcox

CoRR, 2023

Safety and Fairness for Content Moderation in Generative Models.

Susan Hao, Piyush Kumar, Sarah Laszlo, Shivani Poddar, Bhaktipriya Radharapu, Renee Shelby

CoRR, 2023

AI's Regimes of Representation: A Community-centered Study of Text-to-Image Models in South Asia.

Rida Qadri, Renee Shelby, Cynthia L. Bennett, Emily Denton

Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

Infrastructuring Care: How Trans and Non-Binary People Meet Health and Well-Being Needs through Technology.

Lauren Wilcox, Renee Shelby, Rajesh Veeraraghavan, Oliver L. Haimson, Gabriela Cruz Erickson, Michael Turken, Rebecca Gulotta

Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

From Plane Crashes to Algorithmic Harm: Applicability of Safety Engineering Frameworks for Responsible ML.

Shalaleh Rismani, Renee Shelby, Andrew Smart, Edgar W. Jatho III, Joshua A. Kroll, AJung Moon, Negar Rostamzadeh

Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

Sociotechnical Harms of Algorithmic Systems: Scoping a Taxonomy for Harm Reduction.

Renee Shelby, Shalaleh Rismani, Kathryn Henne, AJung Moon, Negar Rostamzadeh, Paul Nicholas, N'Mah Yilla-Akbari, Jess Gallegos, Andrew Smart, Emilio García, Gurleen Virk

Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 2023

Beyond the ML Model: Applying Safety Engineering Frameworks to Text-to-Image Development.

Shalaleh Rismani, Renee Shelby, Andrew Smart, Renelito Delos Santos, AJung Moon, Negar Rostamzadeh

Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 2023

2022

Situating questions of data, power, and racial formation.

Renee Shelby, Kathryn Henne

Big Data Soc., January, 2022

Sociotechnical Harms: Scoping a Taxonomy for Harm Reduction.

Renee Shelby, Shalaleh Rismani, Kathryn Henne, AJung Moon, Negar Rostamzadeh, Paul Nicholas, N'Mah Yilla, Jess Gallegos, Andrew Smart, Emilio Garcia, Gurleen Virk

CoRR, 2022

Terms-we-Serve-with: a feminist-inspired social imaginary for improved transparency and engagement in AI.

Bogdana Rakova, Megan Ma, Renee Shelby

CoRR, 2022

2021

The Datafication of #MeToo: Whiteness, Racial Capitalism, and Anti-Violence Technologies.

Kathryn Henne, Renee Shelby, Jenna Imad Harb

Big Data Soc., July, 2021

Whiteness in and through data protection: an intersectional approach to anti-violence apps and #MeToo bots.

Renee Shelby, Jenna Imad Harb, Kathryn Henne

Internet Policy Rev., 2021