Renee Shelby

According to our database, Renee Shelby authored at least 37 papers between 2021 and 2026.

Collaborative distances:

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

2026

Quantifying the Statistical Effect of Rubric Modifications on Human-Autorater Agreement.

Jessica Huynh, Alfredo Gomez, Athiya Deviyani, Renee Shelby, Jeffrey P. Bigham, Fernando Diaz

CoRR, May, 2026

"It didn't feel right but I needed a job so desperately": Understanding People's Emotions & Help Needs During Financial Scams.

Jake Chanenson, Tara Matthews, Sunny Consolvo, Patrick Gage Kelley, Jessica McClearn, Sarah Meiklejohn, Abhishek Roy, Renee Shelby, Kurt Thomas, Amelia Hassoun

CoRR, April, 2026

Cultural Perspectives and Expectations for Generative AI: A Global Survey Approach.

Erin van Liemt, Renee Shelby, Andrew Smart, Sinchana Kumbale, Richard Zhang, Neha Dixit, Qazi Mamunur Rashid, Jamila Smith-Loud

CoRR, March, 2026

A Unified Framework to Quantify Cultural Intelligence of AI.

Sunipa Dev, Vinodkumar Prabhakaran, Rutledge Chin Feman, Aida Mostafazadeh Davani, Remi Denton, Charu Kalia, Piyawat Lertvittayakumjorn, Madhurima Maji, Rida Qadri, Negar Rostamzadeh, Renee Shelby, Romina Stella, Hayk Stepanyan, Erin van Liemt, Aishwarya Verma, Oscar Wahltinez, Edem Wornyo, Andrew Zaldivar, Saska Mojsilovic

CoRR, March, 2026

AI-generated image-based sexual abuse: Perpetration and consumption across three regions.

Rebecca Umbach, Nicola Henry, Renee Shelby, Gemma Stevens, Kwynn Gonzalez-Pons

Comput. Hum. Behav., 2026

Social and Emotional Uses of AI.

Emily Tseng, Daniel A. Adler, Ashley Marie Walker, Renee Shelby, Stevie Chancellor, Eugenia Kim, Sachin R. Pendse, Renwen Zhang

Proceedings of the Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems, 2026

How Generative AI Empowers Attackers and Defenders Across the Trust & Safety Landscape.

Patrick Gage Kelley, Steven Rousso-Schindler, Renee Shelby, Kurt Thomas, Allison Woodruff

Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems, 2026

Who Is At Risk? Examining the Prevalence of Digital-Safety Attacks and Contextual Risk Factors in the United States.

Sharon Heung, Claire Florence Weizenegger, Mo Houtti, Sunny Consolvo, Patrick Gage Kelley, Tara Matthews, Renee Shelby, Kurt Thomas, Ashley Marie Walker

Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems, 2026

How Tech Workers Contend with Hazards of Humanlikeness in Generative AI.

Mark Diaz, Renee Shelby, Eric Corbett, Andrew Smart

Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems, 2026

"It didn't feel right but I needed a job so desperately": Understanding People's Emotions and Help Needs During Scams.

Jake Chanenson, Tara Matthews, Sunny Consolvo, Patrick Gage Kelley, Jessica McClearn, Sarah Meiklejohn, Abhishek Roy, Renee Shelby, Kurt Thomas, Amelia Hassoun

Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems, 2026

2025

"Made by People, Described by People": The Changing Work Practices of Audio Description Professionals.

Cynthia L. Bennett, Amy Pavel, Aidan Bryant, Laura J. McCarthy Eberly, Renee Shelby, Shaun K. Kane

ACM Trans. Access. Comput., December, 2025

Measuring What Matters: Connecting AI Ethics Evaluations to System Attributes, Hazards, and Harms.

Shalaleh Rismani, Renee Shelby, Leah Davis, Negar Rostamzadeh, AJung Moon

CoRR, October, 2025

Taxonomy of User Needs and Actions.

Renee Shelby, Fernando Diaz, Vinodkumar Prabhakaran

CoRR, October, 2025

Towards a Systemic Risk Literacy for Tech-Facilitated Gender-Based Violence.

Ashley Marie Walker, Renee Shelby, Rosanna Bellini, Amelia Hassoun, Emily Tseng

Proceedings of the Companion Publication of the 2025 Conference on Computer-Supported Cooperative Work and Social Computing, 2025

Designing Support for Systematic Sociotechnical Risk Literacy.

Ashley Marie Walker, Renee Shelby, Ari Schlesinger, Emily Tseng, Mark Diaz, Andy Elliot Ricci, Angela D. R. Smith

Proceedings of the Adjunct Proceedings of the Sixth Decennial Aarhus Conference: Computing X Crisis, 2025

2024

Creative ML Assemblages: The Interactive Politics of People, Processes, and Products.

Renee Shelby, Ramya Srinivasan, Katharina Burgdorf, Jennifer Lena, Negar Rostamzadeh

Proc. ACM Hum. Comput. Interact., 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, Canfer Akbulut, Andrew Trask, Edward Hughes, A. Stevie Bergman, Renee Shelby, Nahema Marchal, Conor Griffin, Juan Mateos-Garcia, Laura Weidinger, Winnie Street, Benjamin Lange, Alex Ingerman, Alison Lentz, Reed Enger, Andrew Barakat, Victoria Krakovna, John Oliver Siy, Zeb Kurth-Nelson, Amanda McCroskery, Vijay Bolina, Harry Law, Murray Shanahan, Lize Alberts, Borja Balle, Sarah de Haas, Yetunde Ibitoye, Allan Dafoe, Beth Goldberg, Sébastien Krier, Alexander Reese, Sims Witherspoon, Will Hawkins, Maribeth Rauh, Don Wallace, Matija Franklin, Josh A. Goldstein, Joel Lehman, Michael Klenk, Shannon Vallor, Courtney Biles, Meredith Ringel Morris, Helen King, Blaise Agüera y Arcas, William Isaac, James Manyika

CoRR, 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

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

Proceedings of the 33rd USENIX Security Symposium, 2024

Debiasing Text Safety Classifiers through a Fairness-Aware Ensemble.

Olivia Sturman, Aparna Joshi, Bhaktipriya Radharapu, Piyush Kumar, Renee Shelby

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024, 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

Proceedings of the Companion Publication of the 2024 Conference on Computer-Supported Cooperative Work and Social Computing, 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

Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024

Generative AI in Creative Practice: ML-Artist Folk Theories of T2I Use, Harm, and Harm-Reduction.

Renee Shelby, Shalaleh Rismani, Negar Rostamzadeh

Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024

Painting with Cameras and Drawing with Text: AI Use in Accessible Creativity.

Cynthia L. Bennett, Renee Shelby, Negar Rostamzadeh, Shaun K. Kane

Proceedings of the 26th International ACM SIGACCESS Conference on Computers and Accessibility, 2024

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

Proceedings of the Designing Interactive Systems Conference, 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

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