William Agnew

48 papers A* 3C 1Misc 1Journal 30Unranked 12
YearRankTypeTitle / Venue / Authors
2026 J jnl
Characterizing Delusional Spirals through Human-LLM Chat Logs.
CoRR
Jared Moore, Ashish Mehta, William Agnew, Jacy Reese Anthis, Ryan Louie, Yifan Mai, Peggy Yin, Myra Cheng, Samuel J. Paech, Kevin Klyman, Stevie Chancellor, Eric Lin, Nick Haber, Desmond C. Ong
2026 A* conf
How Do Data Owners Say No? A Case Study of Data Consent Mechanisms in Web-Scraped Vision-Language AI Training Datasets.
AAAI
Chung Peng Lee, Rachel Hong, Harry H. Jiang, Aster Plotnik, William Agnew, Jamie H. Morgenstern
2026 — conf
How Professional Visual Artists are Negotiating Generative AI in the Workplace.
CHI Extended Abstracts
Harry H. Jiang, Jordan Taylor, William Agnew
2026 J jnl
How Professional Visual Artists are Negotiating Generative AI in the Workplace.
CoRR
Harry H. Jiang, Jordan Taylor, William Agnew
2026 J jnl
Queer NLP: A Critical Survey on Literature Gaps, Biases and Trends.
CoRR
Sabine Weber, Angelina Wang, Ankush Gupta, Arjun Subramonian, Dennis Ulmer, Eshaan Tanwar, Geetanjali Aich, Hannah Devinney, Jacob Hobbs, Jennifer Mickel, Joshua Tint, Mae Sosto, Ray Groshan, Simone Astarita, Vagrant Gautam, Verena Blaschke, William Agnew, Wilson Y. Lee, Yanan Long
2026 — conf
Slurry-as-a-Service: A Modest Proposal on Scalable Pluralistic Alignment for Nutrient Optimization.
CHI Extended Abstracts
Rachel Hong, Yael Eiger, Jevan A. Hutson, Os Keyes, William Agnew
2026 J jnl
Slurry-as-a-Service: A Modest Proposal on Scalable Pluralistic Alignment for Nutrient Optimization.
CoRR
Rachel Hong, Yael Eiger, Jevan A. Hutson, Os Keyes, William Agnew
2026 J jnl
The Algorithmic Gaze: An Audit and Ethnography of the LAION-Aesthetics Predictor Model.
CoRR
Jordan Taylor, William Agnew, Maarten Sap, Sarah E. Fox, Haiyi Zhu
2026 — conf
Workshop on Developing Standards and Documentation For LLM Use as Simulated Research Participants.
CHI Extended Abstracts
William Agnew, Shivani Kapania, Hope Schroeder, Marianne Aubin Le Quéré, Sarah E. Fox, Hoda Heidari
2025 J jnl
A Common Pool of Privacy Problems: Legal and Technical Lessons from a Large-Scale Web-Scraped Machine Learning Dataset.
CoRR
Rachel Hong, Jevan A. Hutson, William Agnew, Imaad Huda, Tadayoshi Kohno, Jamie Morgenstern
2025 J jnl
Computer-vision research powers surveillance technology.
Nat.
Pratyusha Ria Kalluri, William Agnew, Myra Cheng, Kentrell Owens, Luca Soldaini, Abeba Birhane
2025 J jnl
Design(ing) Fictions for Collective Civic Reporting of Privacy Harms.
Proc. ACM Hum. Comput. Interact.
Yuxi Wu, William Agnew, W. Keith Edwards, Sauvik Das
2025 J jnl
Enduring Disparities in the Workplace: A Pilot Study in the AI Community.
CoRR
Yunusa Simpa Abdulsalam, Siobhan Mackenzie Hall, Ana María Quintero-Ossa, William Agnew, Carla Muntean, Sarah Tan, Ashley Heady, Savannah Thais, Jessica Schrouff
2025 — conf
Expressing stigma and inappropriate responses prevents LLMs from safely replacing mental health providers.
FAccT
Jared Moore, Declan Grabb, William Agnew, Kevin Klyman, Stevie Chancellor, Desmond C. Ong, Nick Haber
2025 J jnl
Expressing stigma and inappropriate responses prevents LLMs from safely replacing mental health providers.
CoRR
Jared Moore, Declan Grabb, William Agnew, Kevin Klyman, Stevie Chancellor, Desmond C. Ong, Nick Haber
2025 — conf
Forging an HCI Research Agenda with Artists Impacted by Generative AI.
CHI Extended Abstracts
Harry H. Jiang, William Agnew, Tim Friedlander, Zhuolin Yang, Sarah E. Fox, Michael S. Bernstein, Josephine Charlie Passananti, Megumi Ogata, Karla Ortiz
2025 J jnl
How do data owners say no? A case study of data consent mechanisms in web-scraped vision-language AI training datasets.
CoRR
Chung Peng Lee, Rachel Hong, Harry H. Jiang, Aster Plotnik, William Agnew, Jamie Morgenstern
2025 A* conf
Simulacrum of Stories: Examining Large Language Models as Qualitative Research Participants.
CHI
Shivani Kapania, William Agnew, Motahhare Eslami, Hoda Heidari, Sarah E. Fox
2025 J jnl
The Cake that is Intelligence and Who Gets to Bake it: An AI Analogy and its Implications for Participation.
CoRR
Martin Mundt, Anaelia Ovalle, Felix Friedrich, A Pranav, Subarnaduti Paul, Manuel Brack, Kristian Kersting, William Agnew
2024 J jnl
'Simulacrum of Stories': Examining Large Language Models as Qualitative Research Participants.
CoRR
Shivani Kapania, William Agnew, Motahhare Eslami, Hoda Heidari, Sarah E. Fox
2024 J jnl
Data Defenses Against Large Language Models.
CoRR
William Agnew, Harry H. Jiang, Cella Monet Sum, Maarten Sap, Sauvik Das
2024 J jnl
EAAI-24 Blue Sky Ideas in Artificial Intelligence Education from the AAAI/ACM SIGAI New and Future AI Educator Program.
AI Matters
Marion Neumann, Stephanie Rosenthal, Justin Stevens, Rachel Lugo, William Agnew, Shira Wein
2024 J jnl
Sound Check: Auditing Audio Datasets.
CoRR
William Agnew, Julia Barnett, Annie Chu, Rachel Hong, Michael Feffer, Robin Netzorg, Harry H. Jiang, Ezra Awumey, Sauvik Das
2024 A* conf
The Illusion of Artificial Inclusion.
CHI
William Agnew, A. Stevie Bergman, Jennifer Chien, Mark Díaz, Seliem El-Sayed, Jaylen Pittman, Shakir Mohamed, Kevin R. McKee
2024 J jnl
The illusion of artificial inclusion.
CoRR
William Agnew, A. Stevie Bergman, Jennifer Chien, Mark Díaz, Seliem El-Sayed, Jaylen Pittman, Shakir Mohamed, Kevin R. McKee
2024 J jnl
What Can AI Ethics Learn from Anarchism?
XRDS
William Agnew
2024 — conf
Who's in and who's out? A case study of multimodal CLIP-filtering in DataComp.
EAAMO
Rachel Hong, William Agnew, Tadayoshi Kohno, Jamie Morgenstern
2024 J jnl
Who's in and who's out? A case study of multimodal CLIP-filtering in DataComp.
CoRR
Rachel Hong, William Agnew, Tadayoshi Kohno, Jamie Morgenstern
2023 — —
AI Ethics and Critique for Robotics
William Agnew
2023 C conf
Bound by the Bounty: Collaboratively Shaping Evaluation Processes for Queer AI Harms.
AIES
Nathan Dennler, Anaelia Ovalle, Ashwin Singh, Luca Soldaini, Arjun Subramonian, Huy Tu, William Agnew, Avijit Ghosh, Kyra Yee, Irene Font Peradejordi, Zeerak Talat, Mayra Russo, Jessica de Jesus de Pinho Pinhal
2023 J jnl
Bound by the Bounty: Collaboratively Shaping Evaluation Processes for Queer AI Harms.
CoRR
Organizers Of QueerInAI, Nathaniel Dennler, Anaelia Ovalle, Ashwin Singh, Luca Soldaini, Arjun Subramonian, Huy Tu, William Agnew, Avijit Ghosh, Kyra Yee, Irene Font Peradejordi, Zeerak Talat, Mayra Russo, Jess de Jesus de Pinho Pinhal
2023 J jnl
Evaluating the Social Impact of Generative AI Systems in Systems and Society.
CoRR
Irene Solaiman, Zeerak Talat, William Agnew, Lama Ahmad, Dylan K. Baker, Su Lin Blodgett, Hal Daumé III, Jesse Dodge, Ellie Evans, Sara Hooker, Yacine Jernite, Alexandra Sasha Luccioni, Alberto Lusoli, Margaret Mitchell, Jessica Newman, Marie-Therese Png, Andrew Strait, Apostol Vassilev
2023 — conf
Queer In AI: A Case Study in Community-Led Participatory AI.
FAccT
Organizers Of QueerInAI, Anaelia Ovalle, Arjun Subramonian, Ashwin Singh, Claas Voelcker, Danica J. Sutherland, Davide Locatelli, Eva Breznik, Filip Klubicka, Hang Yuan, Hetvi Jethwani, Huan Zhang, Jaidev Shriram, Kruno Lehman, Luca Soldaini, Maarten Sap, Marc Peter Deisenroth, Maria Leonor Pacheco, Maria Ryskina, Martin Mundt, Milind Agarwal, Nyx McLean, Pan Xu, A Pranav, Raj Korpan, Ruchira Ray, Sarah Mathew, Sarthak Arora, St John, Tanvi Anand, Vishakha Agrawal, William Agnew, Yanan Long, Zijie J. Wang, Zeerak Talat, Avijit Ghosh, Nathaniel Dennler, Michael Noseworthy, Sharvani Jha, Emi Baylor, Aditya Joshi, Natalia Y. Bilenko, Andrew McNamara, Raphael Gontijo Lopes, Alex Markham, Evyn Dong, Jackie Kay, Manu Saraswat, Nikhil Vytla, Luke Stark
2023 J jnl
Queer In AI: A Case Study in Community-Led Participatory AI.
CoRR
Anaelia Ovalle, Arjun Subramonian, Ashwin Singh, Claas Voelcker, Danica J. Sutherland, Davide Locatelli, Eva Breznik, Filip Klubicka, Hang Yuan, Hetvi Jethwani, Huan Zhang, Jaidev Shriram, Kruno Lehman, Luca Soldaini, Maarten Sap, Marc Peter Deisenroth, Maria Leonor Pacheco, Maria Ryskina, Martin Mundt, Milind Agarwal, Nyx McLean, Pan Xu, A Pranav, Raj Korpan, Ruchira Ray, Sarah Mathew, Sarthak Arora, St John, Tanvi Anand, Vishakha Agrawal, William Agnew, Yanan Long, Zijie J. Wang, Zeerak Talat, Avijit Ghosh, Nathaniel Dennler, Michael Noseworthy, Sharvani Jha, Emi Baylor, Aditya Joshi, Natalia Y. Bilenko, Andrew McNamara, Raphael Gontijo Lopes, Alex Markham, Evyn Dong, Jackie Kay, Manu Saraswat, Nikhil Vytla, Luke Stark
2023 — conf
Representation in AI Evaluations.
FAccT
A. Stevie Bergman, Lisa Anne Hendricks, Maribeth Rauh, Boxi Wu, William Agnew, Markus Kunesch, Isabella Duan, Iason Gabriel, William Isaac
2023 J jnl
The Surveillance AI Pipeline.
CoRR
Pratyusha Ria Kalluri, William Agnew, Myra Cheng, Kentrell Owens, Luca Soldaini, Abeba Birhane
2022 J jnl
Queer in AI.
XRDS
Hetvi Jethwani, Arjun Subramonian, William Agnew, MaryLena Bleile, Sarthak Arora, Maria Ryskina, Jeffrey Xiong
2022 — conf
Robots Enact Malignant Stereotypes.
FAccT
Andrew Hundt, William Agnew, Vicky Zeng, Severin Kacianka, Matthew C. Gombolay
2022 J jnl
Robots Enact Malignant Stereotypes.
CoRR
Andrew Hundt, William Agnew, Vicky Zeng, Severin Kacianka, Matthew C. Gombolay
2022 — conf
The Values Encoded in Machine Learning Research.
FAccT
Abeba Birhane, Pratyusha Kalluri, Dallas Card, William Agnew, Ravit Dotan, Michelle Bao
2021 — conf
Documenting Large Webtext Corpora: A Case Study on the Colossal Clean Crawled Corpus.
EMNLP (1)
Jesse Dodge, Maarten Sap, Ana Marasovic, William Agnew, Gabriel Ilharco, Dirk Groeneveld, Margaret Mitchell, Matt Gardner
2021 J jnl
Documenting the English Colossal Clean Crawled Corpus.
CoRR
Jesse Dodge, Maarten Sap, Ana Marasovic, William Agnew, Gabriel Ilharco, Dirk Groeneveld, Matt Gardner
2021 J jnl
The Values Encoded in Machine Learning Research.
CoRR
Abeba Birhane, Pratyusha Kalluri, Dallas Card, William Agnew, Ravit Dotan, Michelle Bao
2020 Misc conf
Amodal 3D Reconstruction for Robotic Manipulation via Stability and Connectivity.
CoRL
William Agnew, Christopher Xie, Aaron Walsman, Octavian Murad, Yubo Wang, Pedro Domingos, Siddhartha S. Srinivasa
2020 J jnl
Amodal 3D Reconstruction for Robotic Manipulation via Stability and Connectivity.
CoRR
William Agnew, Christopher Xie, Aaron Walsman, Octavian Murad, Caelen Wang, Pedro Domingos, Siddhartha S. Srinivasa
2020 J jnl
Self-Supervised Object-Level Deep Reinforcement Learning.
CoRR
William Agnew, Pedro Domingos
2016 — conf
An Ensemble-Based Recommendation Engine for Scientific Data Transfers.
DataCloud@SC
William Agnew, Michael Fischer, Ian T. Foster, Kyle Chard
2016 J jnl
Drawing Insights from "Big Data" Machine Learning Literature using Textual Features Why are some novels considered to be literature? A. predictive model of literary judgments shows that textual features are important. Andreas van Cranenburgh: Reducing Mobile Throttling from Temperature by Offloading Apps.
Tiny Trans. Comput. Sci.
William Agnew, Hyunjong Lee, Minsung Jang, Ada Gavrilovska, Karsten Schwan