An Ensemble-Based Recommendation Engine for Scientific Data Transfers. - William Agnew; Michael Fischer; Ian T. Foster; Kyle Chard (DataCloud@SC, 2016)

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. - William Agnew; Hyunjong Lee; Minsung Jang; Ada Gavrilovska; Karsten Schwan (Adv. Math. Commun., 2016)

Amodal 3D Reconstruction for Robotic Manipulation via Stability and Connectivity. - William Agnew; Christopher Xie; Aaron Walsman; Octavian Murad; Yubo Wang; Pedro Domingos; Siddhartha S. Srinivasa (CoRL, 2020)

Self-Supervised Object-Level Deep Reinforcement Learning. - William Agnew; Pedro Domingos (CoRR, 2020)

Amodal 3D Reconstruction for Robotic Manipulation via Stability and Connectivity. - William Agnew; Christopher Xie; Aaron Walsman; Octavian Murad; Caelen Wang; Pedro Domingos; Siddhartha S. Srinivasa (CoRR, 2020)

Documenting Large Webtext Corpora: A Case Study on the Colossal Clean Crawled Corpus. - Jesse Dodge; Maarten Sap; Ana Marasovic; William Agnew; Gabriel Ilharco; Dirk Groeneveld; Margaret Mitchell; Matt Gardner 001 (EMNLP (1), 2021)

Documenting the English Colossal Clean Crawled Corpus. - Jesse Dodge; Maarten Sap; Ana Marasovic; William Agnew; Gabriel Ilharco; Dirk Groeneveld; Matt Gardner 001 (CoRR, 2021)

The Values Encoded in Machine Learning Research. - Abeba Birhane; Pratyusha Kalluri; Dallas Card; William Agnew; Ravit Dotan; Michelle Bao (FAccT, 2022)

Robots Enact Malignant Stereotypes. - Andrew Hundt; William Agnew; Vicky Zeng; Severin Kacianka; Matthew C. Gombolay (FAccT, 2022)

Queer in AI. - Hetvi Jethwani; Arjun Subramonian; William Agnew; MaryLena Bleile; Sarthak Arora; Maria Ryskina; Jeffrey Xiong (XRDS, 2022)

Bound by the Bounty: Collaboratively Shaping Evaluation Processes for Queer AI Harms. - 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; et al. (AIES, 2023)

Representation in AI Evaluations. - A. Stevie Bergman; Lisa Anne Hendricks; Maribeth Rauh; Boxi Wu; William Agnew; Markus Kunesch; Isabella Duan; Iason Gabriel; William Isaac 001 (FAccT, 2023)

Queer In AI: A Case Study in Community-Led Participatory AI. - 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 009; et al. (FAccT, 2023)

Queer In AI: A Case Study in Community-Led Participatory AI. - Anaelia Ovalle; Arjun Subramonian; Ashwin Singh; Claas Voelcker; Danica J. Sutherland; Davide Locatelli; Eva Breznik; Filip Klubicka; Hang Yuan; Hetvi Jethwani; Huan Zhang 009; Jaidev Shriram; et al. (CoRR, 2023)

Evaluating the Social Impact of Generative AI Systems in Systems and Society. - 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; et al. (CoRR, 2023)

Bound by the Bounty: Collaboratively Shaping Evaluation Processes for Queer AI Harms. - 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; et al. (CoRR, 2023)

The Surveillance AI Pipeline. - Pratyusha Ria Kalluri; William Agnew; Myra Cheng; Kentrell Owens; Luca Soldaini; Abeba Birhane (CoRR, 2023)

AI Ethics and Critique for Robotics - William Agnew (2023)

The Illusion of Artificial Inclusion. - William Agnew; A. Stevie Bergman; Jennifer Chien; Mark Díaz; Seliem El-Sayed; Jaylen Pittman; Shakir Mohamed; Kevin R. McKee (CHI, 2024)

Who's in and who's out? A case study of multimodal CLIP-filtering in DataComp. - Rachel Hong; William Agnew; Tadayoshi Kohno; Jamie Morgenstern (EAAMO, 2024)

Sound Check: Auditing Audio Datasets. - William Agnew; Julia Barnett; Annie Chu; Rachel Hong; Michael Feffer; Robin Netzorg; Harry H. Jiang; Ezra Awumey; Sauvik Das (CoRR, 2024)

Data Defenses Against Large Language Models. - William Agnew; Harry H. Jiang; Cella Sum; Maarten Sap; Sauvik Das (CoRR, 2024)

What Can AI Ethics Learn from Anarchism? - William Agnew (XRDS, 2024)

EAAI-24 Blue Sky Ideas in Artificial Intelligence Education from the AAAI/ACM SIGAI New and Future AI Educator Program. - Marion Neumann; Stephanie Rosenthal; Justin Stevens 001; Rachel Lugo; William Agnew; Shira Wein (AI Matters, 2024)

Forging an HCI Research Agenda with Artists Impacted by Generative AI. - Harry H. Jiang; William Agnew; Tim Friedlander; Zhuolin Yang; Sarah E. Fox; Michael S. Bernstein; Josephine Charlie Passananti; Megumi Ogata; Karla Ortiz (CHI Extended Abstracts, 2025)

Simulacrum of Stories: Examining Large Language Models as Qualitative Research Participants. - Shivani Kapania; William Agnew; Motahhare Eslami; Hoda Heidari; Sarah E. Fox (CHI, 2025)

Expressing stigma and inappropriate responses prevents LLMs from safely replacing mental health providers. - Jared Moore; Declan Grabb; William Agnew; Kevin Klyman; Stevie Chancellor; Desmond C. Ong; Nick Haber (FAccT, 2025)

Design(ing) Fictions for Collective Civic Reporting of Privacy Harms. - Yuxi Wu; William Agnew; W. Keith Edwards; Sauvik Das (Proc. ACM Hum. Comput. Interact., 2025)

The Cake that is Intelligence and Who Gets to Bake it: An AI Analogy and its Implications for Participation. - Martin Mundt; Anaelia Ovalle; Felix Friedrich; Pranav Agrawal 003; Subarnaduti Paul; Manuel Brack; Kristian Kersting; William Agnew (CoRR, 2025)

Enduring Disparities in the Workplace: A Pilot Study in the AI Community. - Yunusa Simpa Abdulsalam; Siobhan Mackenzie Hall; Ana María Quintero-Ossa; William Agnew; Carla Muntean; Sarah Tan; Ashley Heady; Savannah Thais; Jessica Schrouff (CoRR, 2025)

A Common Pool of Privacy Problems: Legal and Technical Lessons from a Large-Scale Web-Scraped Machine Learning Dataset. - Rachel Hong; Jevan Hutson; William Agnew; Imaad Huda; Tadayoshi Kohno; Jamie Morgenstern (CoRR, 2025)

Computer-vision research powers surveillance technology. - Pratyusha Ria Kalluri; William Agnew; Myra Cheng; Kentrell Owens; Luca Soldaini; Abeba Birhane (Nat., 2025)