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Renee Shelby
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2020 – today
- 2024
- [j5]Renee Shelby
, Ramya Srinivasan
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
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
Painting with Cameras and Drawing with Text: AI Use in Accessible Creativity. ASSETS 2024: 5:1-5:19 - [c10]Renee Shelby
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
How Knowledge Workers Think Generative AI Will (Not) Transform Their Industries. CHI 2024: 641:1-641:26 - [c8]Ashley Marie Walker
"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
Terms-we-serve-with: Five dimensions for anticipating and repairing algorithmic harm. Big Data Soc. 10(2) (2023) - [c5]Shalaleh Rismani
Beyond the ML Model: Applying Safety Engineering Frameworks to Text-to-Image Development. AIES 2023: 70-83 - [c4]Renee Shelby
Sociotechnical Harms of Algorithmic Systems: Scoping a Taxonomy for Harm Reduction. AIES 2023: 723-741 - [c3]Shalaleh Rismani
From Plane Crashes to Algorithmic Harm: Applicability of Safety Engineering Frameworks for Responsible ML. CHI 2023: 2:1-2:18 - [c2]Lauren Wilcox
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
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
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
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
The Datafication of #MeToo: Whiteness, Racial Capitalism, and Anti-Violence Technologies. Big Data Soc. 8(2): 205395172110558 (2021) - [j1]Renee Shelby, Jenna Imad Harb
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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