Robert Wolfe

I’m an incoming Assistant Professor at Rutgers University in the School of Communication and Information (SC&I), where I’ll continue my research on the epistemic risks and opportunities of modern AI systems starting in fall of 2025. My research considers:

  • Small-scale approaches to generative AI that can help researchers and practitioners avoid dependence on proprietary technologies, especially in situations where sensitive data is involved, or reproducibility is paramount.
  • Creating novel dimensions in the design space of generative technologies to help maximize transparency in high-stakes epistemic settings such as fact-checking.
  • Understanding the nature of undesirable AI biases related to protected demographic characteristics such as race and ethnicity, nationality, age, and gender, most often in multimodal language-and-image models.

I’ll be in Seattle through August 2025 finishing up an interim postdoc with Bill Howe’s Volitional AI Lab. Please don’t hesitate to reach out by email if you’d like to discuss research.

news

May 25, 2025 Thrilled to share that I’ll be joining the School of Communication and Information (SCI) at Rutgers University as an Assistant Professor in Fall 2025! More to come soon.
May 22, 2025 Two new papers collaborating with the visionary social computing researcher JaeWon Kim! Check out her work on reducing dysfunctional fear among adolescents on social media at CSCW 2025, and her paper introducing the trust-enabled privacy design framework at SOUPS 2025.
May 1, 2025 Excited to share that our research developing new methods for understanding privacy threats in large language models has been accepted to ICML 2025. Congrats to two fantastic lead authors, AI privacy and fairness researcher Lucas Rosenblatt and deep learning and spatial computing researcher Bin Han!
Apr 25, 2025 Proud to have been a part of research on reconceptualizing neighborhood safety technologies to meet the needs of communities with the amazing social justice and community technologies researcher Ishita Chordia at CHI 2025 - where it also received a Best Paper Honorable Mention!
Apr 18, 2025 I’m a co-author on three papers at IDC 2025 - all first-authored by the unstoppable child-centered AI researcher Aayushi Dangol! Check out her research on how to use abstract reasoning puzzles to help kids understand AI limitations, what the development of large reasoning models means for AI literacy, and how kids envision and evaluate generative AI.

selected publications

  1. ACM FAccT
    Laboratory-Scale AI: Open-Weight Models are Competitive with ChatGPT Even in Low-Resource Settings
    ACM Conference on Fairness, Accountability, and Transparency 2024
  2. ACM FAccT
    The Impact and Opportunities of Generative AI in Fact-Checking
    Wolfe, Robert, and Mitra, Tanu
    ACM Conference on Fairness, Accountability, and Transparency 2024