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)

The Datafication of #MeToo: Whiteness, Racial Capitalism, and Anti-Violence Technologies. - Kathryn Henne; Renee Shelby; Jenna Imad Harb (Big Data Soc., 2021)

Terms-we-Serve-with: a feminist-inspired social imaginary for improved transparency and engagement in AI. - Bogdana Rakova; Megan Ma; Renee Shelby (CoRR, 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)

Situating questions of data, power, and racial formation. - Renee Shelby; Kathryn Henne (Big Data Soc., 2022)

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 (AIES, 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 (AIES, 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 (CHI, 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 (CHI, 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 (FAccT, 2023)

Safety and Fairness for Content Moderation in Generative Models. - Susan Hao; Piyush Kumar; Sarah Laszlo; Shivani Poddar; Bhaktipriya Radharapu; Renee Shelby (CoRR, 2023)

Terms-we-serve-with: Five dimensions for anticipating and repairing algorithmic harm. - Bogdana Rakova; Renee Shelby; Megan Ma (Big Data Soc., 2023)

In Whose Voice?: Examining AI Agent Representation of People in Social Interaction through Generative Speech. - Angel Hsing-Chi Hwang; John Oliver Siy; Renee Shelby; Alison Lentz (Conference on Designing Interactive Systems, 2024)

Painting with Cameras and Drawing with Text: AI Use in Accessible Creativity. - Cynthia L. Bennett; Renee Shelby; Negar Rostamzadeh; Shaun K. Kane (ASSETS, 2024)

Generative AI in Creative Practice: ML-Artist Folk Theories of T2I Use, Harm, and Harm-Reduction. - Renee Shelby; Shalaleh Rismani; Negar Rostamzadeh (CHI, 2024)

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 (CHI, 2024)

"What is Safety?": Building Bridges Across Approaches to Digital Risks and Harms. - Ashley Marie Walker; Michael Ann DeVito; Karla Badillo-Urquiola; Rosanna Bellini; Stevie Chancellor; Jessica L. Feuston; Kathryn Henne; Patrick Gage Kelley; Shalaleh Rismani; Renee Shelby; Renwen Zhang (CSCW Companion, 2024)

Debiasing Text Safety Classifiers through a Fairness-Aware Ensemble. - Olivia Sturman; Aparna Joshi; Bhaktipriya Radharapu; Piyush Kumar; Renee Shelby (EMNLP (Industry Track), 2024)

Understanding Help-Seeking and Help-Giving on Social Media for Image-Based Sexual Abuse. - Miranda Wei; Sunny Consolvo; Patrick Gage Kelley; Tadayoshi Kohno; Tara Matthews; Sarah Meiklejohn; Franziska Roesner; Renee Shelby; Kurt Thomas; Rebecca Umbach (USENIX Security Symposium, 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)

The Ethics of Advanced AI Assistants. - Iason Gabriel; Arianna Manzini; Geoff Keeling; Lisa Anne Hendricks; Verena Rieser; Hasan Iqbal; Nenad Tomasev; Ira Ktena; Zachary Kenton; Mikel Rodriguez; Seliem El-Sayed; Sasha Brown; et al. (CoRR, 2024)

Creative ML Assemblages: The Interactive Politics of People, Processes, and Products. - Renee Shelby; Ramya Srinivasan 002; Katharina Burgdorf; Jennifer Lena; Negar Rostamzadeh (Proc. ACM Hum. Comput. Interact., 2024)