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ORCIDRenee Shelby
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2020 – today
- 2026
[j7]Rebecca Umbach
, Nicola Henry, Renee Shelby, Gemma Stevens, Kwynn Gonzalez-Pons:
AI-generated image-based sexual abuse: Perpetration and consumption across three regions. Comput. Hum. Behav. 179: 108935 (2026)- [c19]Emily Tseng, Daniel A. Adler, Ashley Marie Walker, Renee Shelby, Stevie Chancellor, Eugenia Kim, Sachin R. Pendse, Renwen Zhang:
Social and Emotional Uses of AI. CHI Extended Abstracts 2026: 967:1-967:5 - [c18]Sharon Heung, Claire Florence Weizenegger, Mo Houtti, Sunny Consolvo, Patrick Gage Kelley, Tara Matthews, Renee Shelby, Kurt Thomas, Ashley Marie Walker:
Who Is At Risk? Examining the Prevalence of Digital-Safety Attacks and Contextual Risk Factors in the United States. CHI 2026: 1214:1-1214:30 - [c17]Jake Chanenson, Tara Matthews, Sunny Consolvo, Patrick Gage Kelley, Jessica McClearn, Sarah Meiklejohn, Abhishek Roy, Renee Shelby, Kurt Thomas, Amelia Hassoun:
"It didn't feel right but I needed a job so desperately": Understanding People's Emotions and Help Needs During Scams. CHI 2026: 1312:1-1312:22 - [c16]Patrick Gage Kelley, Steven Rousso-Schindler, Renee Shelby, Kurt Thomas, Allison Woodruff:
How Generative AI Empowers Attackers and Defenders Across the Trust & Safety Landscape. CHI 2026: 1316:1-1316:21 - [c15]Mark Diaz, Renee Shelby, Eric Corbett, Andrew Smart:
How Tech Workers Contend with Hazards of Humanlikeness in Generative AI. CHI 2026: 1507:1-1507:18 - [i19]Patrick Gage Kelley, Steven Rousso-Schindler, Renee Shelby, Kurt Thomas, Allison Woodruff:
How Generative AI Empowers Attackers and Defenders Across the Trust & Safety Landscape. CoRR abs/2601.06033 (2026) - [i18]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:
A Unified Framework to Quantify Cultural Intelligence of AI. CoRR abs/2603.01211 (2026) - [i17]Erin van Liemt, Renee Shelby, Andrew Smart, Sinchana Kumbale, Richard Zhang, Neha Dixit, Qazi Mamunur Rashid, Jamila Smith-Loud:
Cultural Perspectives and Expectations for Generative AI: A Global Survey Approach. CoRR abs/2603.05723 (2026) - [i16]Jake Chanenson, Tara Matthews, Sunny Consolvo, Patrick Gage Kelley, Jessica McClearn, Sarah Meiklejohn, Abhishek Roy, Renee Shelby, Kurt Thomas, Amelia Hassoun:
"It didn't feel right but I needed a job so desperately": Understanding People's Emotions & Help Needs During Financial Scams. CoRR abs/2604.06218 (2026) - [i15]Jessica Huynh, Alfredo Gomez, Athiya Deviyani, Renee Shelby, Jeffrey P. Bigham, Fernando Diaz:
Quantifying the Statistical Effect of Rubric Modifications on Human-Autorater Agreement. CoRR abs/2605.06283 (2026) - 2025
- [j6]Cynthia L. Bennett, Amy Pavel, Aidan Bryant, Laura J. McCarthy Eberly, Renee Shelby, Shaun K. Kane:
"Made by People, Described by People": The Changing Work Practices of Audio Description Professionals. ACM Trans. Access. Comput. 18(4): 18:1-18:28 (2025) - [c14]Ashley Marie Walker, Renee Shelby, Ari Schlesinger, Emily Tseng, Mark Diaz, Andy Elliot Ricci, Angela D. R. Smith:
Designing Support for Systematic Sociotechnical Risk Literacy. Aarhus Conference (Adjunct) 2025: 29:1-29:4 - [c13]Ashley Marie Walker, Renee Shelby, Rosanna Bellini, Amelia Hassoun, Emily Tseng:
Towards a Systemic Risk Literacy for Tech-Facilitated Gender-Based Violence. CSCW Companion 2025: 174-177 - [i14]Renee Shelby, Fernando Diaz, Vinodkumar Prabhakaran:
Taxonomy of User Needs and Actions. CoRR abs/2510.06124 (2025) - [i13]Shalaleh Rismani, Renee Shelby, Leah Davis, Negar Rostamzadeh, AJung Moon:
Measuring What Matters: Connecting AI Ethics Evaluations to System Attributes, Hazards, and Harms. CoRR abs/2510.10339 (2025) - [i12]Mark Díaz, Renee Shelby, Eric Corbett, Andrew Smart:
How Tech Workers Contend with Hazards of Humanlikeness in Generative AI. CoRR abs/2512.19832 (2025) - 2024
- [j5]Renee Shelby, Ramya Srinivasan, Katharina Burgdorf, Jennifer Lena, Negar Rostamzadeh:
Creative ML Assemblages: The Interactive Politics of People, Processes, and Products. Proc. ACM Hum. Comput. Interact. 8(CSCW1): 1-30 (2024) - [c12]Angel Hsing-Chi Hwang, John Oliver Siy, Renee Shelby, Alison Lentz:
In Whose Voice?: Examining AI Agent Representation of People in Social Interaction through Generative Speech. Conference on Designing Interactive Systems 2024 - [c11]Cynthia L. Bennett, Renee Shelby, Negar Rostamzadeh, Shaun K. Kane:
Painting with Cameras and Drawing with Text: AI Use in Accessible Creativity. ASSETS 2024: 5:1-5:19 - [c10]Renee Shelby, Shalaleh Rismani, Negar Rostamzadeh:
Generative AI in Creative Practice: ML-Artist Folk Theories of T2I Use, Harm, and Harm-Reduction. CHI 2024: 32:1-32:17 - [c9]Allison Woodruff, Renee Shelby, Patrick Gage Kelley, Steven Rousso-Schindler, Jamila Smith-Loud, Lauren Wilcox:
How Knowledge Workers Think Generative AI Will (Not) Transform Their Industries. CHI 2024: 641:1-641:26 - [c8]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:
"What is Safety?": Building Bridges Across Approaches to Digital Risks and Harms. CSCW Companion 2024: 736-739 - [c7]Olivia Sturman, Aparna Joshi, Bhaktipriya Radharapu, Piyush Kumar, Renee Shelby:
Debiasing Text Safety Classifiers through a Fairness-Aware Ensemble. EMNLP (Industry Track) 2024: 199-214 - [c6]Miranda Wei, Sunny Consolvo, Patrick Gage Kelley, Tadayoshi Kohno, Tara Matthews, Sarah Meiklejohn, Franziska Roesner, Renee Shelby, Kurt Thomas, Rebecca Umbach:
Understanding Help-Seeking and Help-Giving on Social Media for Image-Based Sexual Abuse. USENIX Security Symposium 2024 - [i11]Susan Hao, Renee Shelby, Yuchi Liu, Hansa Srinivasan, Mukul Bhutani, Burcu Karagol Ayan, Shivani Poddar, Sarah Laszlo:
Harm Amplification in Text-to-Image Models. CoRR abs/2402.01787 (2024) - [i10]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:
The Ethics of Advanced AI Assistants. CoRR abs/2404.16244 (2024) - [i9]Miranda Wei, Sunny Consolvo, Patrick Gage Kelley, Tadayoshi Kohno, Tara Matthews, Sarah Meiklejohn, Franziska Roesner, Renee Shelby, Kurt Thomas, Rebecca Umbach:
Understanding Help-Seeking and Help-Giving on Social Media for Image-Based Sexual Abuse. CoRR abs/2406.12161 (2024) - [i8]Olivia Sturman, Aparna Joshi, Bhaktipriya Radharapu, Piyush Kumar, Renee Shelby:
Debiasing Text Safety Classifiers through a Fairness-Aware Ensemble. CoRR abs/2409.13705 (2024) - 2023
- [j4]Bogdana Rakova, Renee Shelby, Megan Ma:
Terms-we-serve-with: Five dimensions for anticipating and repairing algorithmic harm. Big Data Soc. 10(2) (2023) - [c5]Shalaleh Rismani, Renee Shelby, Andrew Smart, Renelito Delos Santos, AJung Moon, Negar Rostamzadeh:
Beyond the ML Model: Applying Safety Engineering Frameworks to Text-to-Image Development. AIES 2023: 70-83 - [c4]Renee Shelby, Shalaleh Rismani, Kathryn Henne, AJung Moon, Negar Rostamzadeh, Paul Nicholas, N'Mah Yilla-Akbari, Jess Gallegos, Andrew Smart, Emilio García, Gurleen Virk:
Sociotechnical Harms of Algorithmic Systems: Scoping a Taxonomy for Harm Reduction. AIES 2023: 723-741 - [c3]Shalaleh Rismani, Renee Shelby, Andrew Smart, Edgar W. Jatho III, Joshua A. Kroll, AJung Moon, Negar Rostamzadeh:
From Plane Crashes to Algorithmic Harm: Applicability of Safety Engineering Frameworks for Responsible ML. CHI 2023: 2:1-2:18 - [c2]Lauren Wilcox, Renee Shelby, Rajesh Veeraraghavan, Oliver L. Haimson, Gabriela Cruz Erickson, Michael Turken, Rebecca Gulotta:
Infrastructuring Care: How Trans and Non-Binary People Meet Health and Well-Being Needs through Technology. CHI 2023: 489:1-489:17 - [c1]Rida Qadri, Renee Shelby, Cynthia L. Bennett, Emily Denton:
AI's Regimes of Representation: A Community-centered Study of Text-to-Image Models in South Asia. FAccT 2023: 506-517 - [i7]Rida Qadri, Renee Shelby, Cynthia L. Bennett, Emily Denton:
AI's Regimes of Representation: A Community-centered Study of Text-to-Image Models in South Asia. CoRR abs/2305.11844 (2023) - [i6]Susan Hao, Piyush Kumar, Sarah Laszlo, Shivani Poddar, Bhaktipriya Radharapu, Renee Shelby:
Safety and Fairness for Content Moderation in Generative Models. CoRR abs/2306.06135 (2023) - [i5]Shalaleh Rismani, Renee Shelby, Andrew Smart, Renelito Delos Santos, AJung Moon, Negar Rostamzadeh:
Beyond the ML Model: Applying Safety Engineering Frameworks to Text-to-Image Development. CoRR abs/2307.10312 (2023) - [i4]Allison Woodruff, Renee Shelby, Patrick Gage Kelley, Steven Rousso-Schindler, Jamila Smith-Loud, Lauren Wilcox:
How Knowledge Workers Think Generative AI Will (Not) Transform Their Industries. CoRR abs/2310.06778 (2023) - 2022
- [j3]Renee Shelby, Kathryn Henne:
Situating questions of data, power, and racial formation. Big Data Soc. 9(1): 205395172210909 (2022) - [i3]Bogdana Rakova, Megan Ma, Renee Shelby:
Terms-we-Serve-with: a feminist-inspired social imaginary for improved transparency and engagement in AI. CoRR abs/2206.02492 (2022) - [i2]Shalaleh Rismani, Renee Shelby, Andrew Smart, Edgar W. Jatho III, Joshua A. Kroll, AJung Moon, Negar Rostamzadeh:
From plane crashes to algorithmic harm: applicability of safety engineering frameworks for responsible ML. CoRR abs/2210.03535 (2022) - [i1]Renee Shelby, Shalaleh Rismani, Kathryn Henne, AJung Moon, Negar Rostamzadeh, Paul Nicholas, N'Mah Yilla, Jess Gallegos, Andrew Smart, Emilio Garcia, Gurleen Virk:
Sociotechnical Harms: Scoping a Taxonomy for Harm Reduction. CoRR abs/2210.05791 (2022) - 2021
- [j2]Kathryn Henne, Renee Shelby, Jenna Imad Harb:
The Datafication of #MeToo: Whiteness, Racial Capitalism, and Anti-Violence Technologies. Big Data Soc. 8(2): 205395172110558 (2021) - [j1]Renee Shelby, Jenna Imad Harb, Kathryn Henne:
Whiteness in and through data protection: an intersectional approach to anti-violence apps and #MeToo bots. Internet Policy Rev. 10(4) (2021)
Coauthor Index
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last updated on 2026-06-09 23:00 CEST by the dblp team
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