| 2026 | CHI | Relief or displacement? How teachers are negotiating generative AI's role in their professional practice. | Aayushi Dangol, Smriti Kotiyal, Robert Wolfe, Alex J. Bowers, Antonio Vigil, Jason Yip, Julie A. Kientz, Suleman Shahid, Tom Yeh, Vincent Cho, Katie Davis |
| 2026 | IUI | SusBench: An Online Benchmark for Evaluating Dark Pattern Susceptibility of Computer-Use Agents. | Longjie Guo, Chenjie Yuan, Mingyuan Zhong, Robert Wolfe, Ruican Zhong, Yue Xu, Bingbing Wen, Hua Shen, Lucy Lu Wang, Alexis Hiniker |
| 2025 | ACL | Do Language Models Mirror Human Confidence? Exploring Psychological Insights to Address Overconfidence in LLMs. | Chenjun Xu, Bingbing Wen, Bin Han, Robert Wolfe, Lucy Lu Wang, Bill Howe |
| 2025 | AIES | Understanding Privacy Norms Around LLM-Based Chatbots: A Contextual Integrity Perspective. | Sarah Tran, Hongfan Lu, Isaac Slaughter, Bernease Herman, Aayushi Dangol, Yue Fu, Lufei Chen, Biniyam Gebreyohannes, Bill Howe, Alexis Hiniker, Nicholas M. Weber, Robert Wolfe |
| 2025 | AIES | Toward Needs-Conscious Design: Co-Designing a Human-Centered Framework for AI-Mediated Communication. | Robert Wolfe, Aayushi Dangol, Jaewon Kim, Alexis Hiniker |
| 2025 | CHI | Building the Beloved Community: Designing Technologies for Neighborhood Safety. | Ishita Chordia, Robert Wolfe, Jason Yip, Alexis Hiniker |
| 2025 | ICML | Fragments to Facts: Partial-Information Fragment Inference from LLMs. | Lucas Rosenblatt, Bin Han, Robert Wolfe, Bill Howe |
| 2025 | SOUPS | Trust-Enabled Privacy: Social Media Designs to Support Adolescent User Boundary Regulation. | JaeWon Kim, Robert Wolfe, Ramya Bhagirathi Subramanian, Mei-Hsuan Lee, Jessica Colnago, Alexis Hiniker |
| 2024 | AIES | Quantitative and Organizational Approaches to Epistemic Risk in Generative and General-Purpose AI. | Robert Wolfe |
| 2024 | AIES | Representation Bias of Adolescents in AI: A Bilingual, Bicultural Study. | Robert Wolfe, Aayushi Dangol, Bill Howe, Alexis Hiniker |
| 2024 | AIES | Dataset Scale and Societal Consistency Mediate Facial Impression Bias in Vision-Language AI. | Robert Wolfe, Aayushi Dangol, Alexis Hiniker, Bill Howe |
| 2024 | AIES | ML-EAT: A Multilevel Embedding Association Test for Interpretable and Transparent Social Science. | Robert Wolfe, Alexis Hiniker, Bill Howe |
| 2024 | AIES | The Implications of Open Generative Models in Human-Centered Data Science Work: A Case Study with Fact-Checking Organizations. | Robert Wolfe, Tanushree Mitra |
| 2024 | CVPR | Label-Efficient Group Robustness via Out-of-Distribution Concept Curation. | Yiwei Yang, Anthony Z. Liu, Robert Wolfe, Aylin Caliskan, Bill Howe |
| 2023 | AIES | Evaluating Biased Attitude Associations of Language Models in an Intersectional Context. | Shiva Omrani Sabbaghi, Robert Wolfe, Aylin Caliskan |
| 2022 | AAAI | VAST: The Valence-Assessing Semantics Test for Contextualizing Language Models. | Robert Wolfe, Aylin Caliskan |
| 2022 | ACL | Contrastive Visual Semantic Pretraining Magnifies the Semantics of Natural Language Representations. | Robert Wolfe, Aylin Caliskan |
| 2022 | AIES | Gender Bias in Word Embeddings: A Comprehensive Analysis of Frequency, Syntax, and Semantics. | Aylin Caliskan, Pimparkar Parth Ajay, Tessa Charlesworth, Robert Wolfe, Mahzarin R. Banaji |
| 2022 | AIES | American == White in Multimodal Language-and-Image AI. | Robert Wolfe, Aylin Caliskan |
| 2021 | EMNLP | Low Frequency Names Exhibit Bias and Overfitting in Contextualizing Language Models. | Robert Wolfe, Aylin Caliskan |