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

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

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

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

How Knowledge Workers Think Generative AI Will (Not) Transform Their Industries. - Woodruff, Allison; Shelby, Renee; Kelley, Patrick Gage; Rousso-Schindler, Steven; Smith-Loud, Jamila; Wilcox, Lauren (2024)

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

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

Understanding Help-Seeking and Help-Giving on Social Media for Image-Based Sexual Abuse. - Wei, Miranda; Consolvo, Sunny; Kelley, Patrick Gage; Kohno, Tadayoshi; Matthews, Tara; Meiklejohn, Sarah; Roesner, Franziska; Shelby, Renee; Thomas, Kurt; Umbach, Rebecca (2024)

Harm Amplification in Text-to-Image Models. - Hao, Susan; Shelby, Renee; Liu, Yuchi; Srinivasan, Hansa; Bhutani, Mukul; Ayan, Burcu Karagol; Poddar, Shivani; Laszlo, Sarah (CoRR, 2024)

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

Understanding Help-Seeking and Help-Giving on Social Media for Image-Based Sexual Abuse. - Wei, Miranda; Consolvo, Sunny; Kelley, Patrick Gage; Kohno, Tadayoshi; Matthews, Tara; Meiklejohn, Sarah; Roesner, Franziska; Shelby, Renee; Thomas, Kurt; Umbach, Rebecca (CoRR, 2024)

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

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

Beyond the ML Model: Applying Safety Engineering Frameworks to Text-to-Image Development. - Rismani, Shalaleh; Shelby, Renee; Smart, Andrew; Santos, Renelito Delos; Moon, AJung; Rostamzadeh, Negar (2023)

Sociotechnical Harms of Algorithmic Systems: Scoping a Taxonomy for Harm Reduction. - Shelby, Renee; Rismani, Shalaleh; Henne, Kathryn; Moon, AJung; Rostamzadeh, Negar; Nicholas, Paul; Yilla-Akbari, N'Mah; Gallegos, Jess; Smart, Andrew; García, Emilio; Virk, Gurleen (2023)

From Plane Crashes to Algorithmic Harm: Applicability of Safety Engineering Frameworks for Responsible ML. - Rismani, Shalaleh; Shelby, Renee; Smart, Andrew; Jatho, Edgar W., III; Kroll, Joshua A.; Moon, AJung; Rostamzadeh, Negar (2023)

Infrastructuring Care: How Trans and Non-Binary People Meet Health and Well-Being Needs through Technology. - Wilcox, Lauren; Shelby, Renee; Veeraraghavan, Rajesh; Haimson, Oliver L.; Erickson, Gabriela Cruz; Turken, Michael; Gulotta, Rebecca (2023)

AI's Regimes of Representation: A Community-centered Study of Text-to-Image Models in South Asia. - Qadri, Rida; Shelby, Renee; Bennett, Cynthia L.; Denton, Emily (2023)

AI's Regimes of Representation: A Community-centered Study of Text-to-Image Models in South Asia. - Qadri, Rida; Shelby, Renee; Bennett, Cynthia L.; Denton, Emily (CoRR, 2023)

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

Beyond the ML Model: Applying Safety Engineering Frameworks to Text-to-Image Development. - Rismani, Shalaleh; Shelby, Renee; Smart, Andrew; Santos, Renelito Delos; Moon, AJung; Rostamzadeh, Negar (CoRR, 2023)

How Knowledge Workers Think Generative AI Will (Not) Transform Their Industries. - Woodruff, Allison; Shelby, Renee; Kelley, Patrick Gage; Rousso-Schindler, Steven; Smith-Loud, Jamila; Wilcox, Lauren (CoRR, 2023)

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

Terms-we-Serve-with: a feminist-inspired social imaginary for improved transparency and engagement in AI. - Rakova, Bogdana; Ma, Megan; Shelby, Renee (CoRR, 2022)

From plane crashes to algorithmic harm: applicability of safety engineering frameworks for responsible ML. - Rismani, Shalaleh; Shelby, Renee; Smart, Andrew; Jatho, Edgar W., III; Kroll, Joshua A.; Moon, AJung; Rostamzadeh, Negar (CoRR, 2022)

Sociotechnical Harms: Scoping a Taxonomy for Harm Reduction. - Shelby, Renee; Rismani, Shalaleh; Henne, Kathryn; Moon, AJung; Rostamzadeh, Negar; Nicholas, Paul; Yilla, N'Mah; Gallegos, Jess; Smart, Andrew; Garcia, Emilio; Virk, Gurleen (CoRR, 2022)

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

Whiteness in and through data protection: an intersectional approach to anti-violence apps and #MeToo bots. - Shelby, Renee; Harb, Jenna Imad; Henne, Kathryn (Internet Policy Rev., 2021)