How are Emerging Adults Using ChatGPT in the Wild?
Proceedings of the 2026 AAAI/ACM Conference on AI, Ethics, and Society (AIES 2026). Acceptance rate: 21%.
Robert Wolfe
Robert Wolfe is an Assistant Professor in the Rutgers iSchool, where his research focuses on understanding and improving the reliability of general-purpose AI models. Wolfe received his Ph.D. in Information Science from the University of Washington for his work on epistemic risks in generative and general-purpose AI. He previously earned Master’s degrees in Computer Science, Information Science, and English Literature. Wolfe’s ongoing work studies evolving privacy norms around chatbots, applications of AI in high-stakes information work, and uses of AI on social media. His recent collaborations on topics including privacy attacks on large language models, calibration methods for general-purpose AI, justice-oriented neighborhood technologies, trust-building approaches on social media, and novel approaches to AI literacy have been published in venues including ACM CHI, CSCW, SOUPS, ICML, ACL, and IDC.
Publications
SusBench: An Online Benchmark for Evaluating Dark Pattern Susceptibility of Computer-Use Agents
Proceedings of the 31st International Conference on Intelligent User Interfaces (IUI 2026). Acceptance rate: 20%.
Privacy as Social Norm: Systematically Empowering Teen Privacy Management on Social Media
Proceedings of the ACM on Human-Computer Interaction (CSCW), 9(2):CSCW151, 2025.
Understanding Privacy Norms Around LLM-Based Chatbots: A Contextual Integrity Perspective
Proceedings of the 2025 AAAI/ACM Conference on AI, Ethics, and Society (AIES 2025). Acceptance rate: 32%.
Toward Nonviolent Design: Co-Designing a Human-Centered Framework for AI-Mediated Communication
Proceedings of the 2025 AAAI/ACM Conference on AI, Ethics, and Society (AIES 2025). Acceptance rate: 32%.
Trust-Enabled Privacy: Social Media Designs to Support Adolescent User Boundary Regulation
Proceedings of the 21st Symposium on Usable Privacy and Security (SOUPS 2025).
Building the Beloved Community: Designing Technologies for Neighborhood Safety
Proceedings of the 2025 ACM Conference on Human Factors in Computing Systems (CHI 2025). Acceptance rate: 25%.
Best paper honorable mention (top 5%)
Sharing, Not Showing Off: How BeReal Approaches Authentic Self-Presentation on Social Media Through Its Design
Proceedings of the ACM on Human-Computer Interaction (CSCW), 8(CSCW2):1-32, 2024.
Representation Bias of Adolescents in AI: A Bilingual, Bicultural Study
Proceedings of the 2024 AAAI/ACM Conference on AI, Ethics, and Society (AIES 2024). Acceptance rate: 38%.
ML-EAT: A Multilevel Embedding Association Test for Interpretable and Transparent Social Science
Proceedings of the 2024 AAAI/ACM Conference on AI, Ethics, and Society (AIES 2024). Acceptance rate: 38%.
Dataset Scale and Societal Consistency Mediate Facial Impression Bias in Vision-Language AI
Proceedings of the 2024 AAAI/ACM Conference on AI, Ethics, and Society (AIES 2024). Acceptance rate: 38%.