Skip to main navigation Skip to search Skip to main content

Tuhin Chakrabarty

    20192026

    Research activity per year

    Personal profile

    Biography

    I am an Assistant Professor at the Computer Science Department in Stony Brook University (SUNY), an Affiliate of the Institute for Advanced Computational Science (IACS), and a Visiting Professor at Salesforce AI Research. My work has been covered by The New York Times, The New Yorker, The Wall Street Journal, The Atlantic, The Washington Post, The Telegraph, The Hollywood Reporter, Bloomberg News and MIT Technology Review

    Research interests

    My research interests are broadly in AI, Law and Public Policy and my goal is to design, build and audit responsible AI systems that are aligned with the requirements humans have from technology. I often rely on knowledge, methods, and perspectives from multiple disciplines to address complex problems or questions that cannot be fully understood or solved within the boundaries of Computer Science. Accordingly my scholarship appears in Machine Learning, Human Computer Interaction and Law journals/conference proceedings. I am specifically very interested in Generative AI, Creativity, Copyright Law, Impact of Emerging Technologies on the Labor Markets. Some representative works 

    Resources

    Education/Academic qualification

    PhD, Computer Science, Columbia University

    Fingerprint

    Dive into the research topics where Tuhin Chakrabarty is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
    • 1 Similar Profiles

    Collaborations and top research areas from the last five years

    Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
    • Can Good Writing Be Generative? Expert-Level AI Writing Emerges through Fine-Tuning on High Quality Books

      Chakrabarty, T. & Dhillon, P. S., Apr 13 2026, CHI 2026 - Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems. Oliver, N., Shamma, D. A., Candello, H., Cesar, P., Lopes, P., Bozzon, A., Kosch, T., Liao, V., Ma, X., Artizzu, V., Draxler, F., Lopez, G., Reinschluessel, A. V., Tong, X. & Toups Dugas, P. O. (eds.). Association for Computing Machinery, 1432. (Conference on Human Factors in Computing Systems - Proceedings ).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    • Can AI writing be salvaged? Mitigating Idiosyncrasies and Improving Human-AI Alignment in the Writing Process through Edits

      Chakrabarty, T., Laban, P. & Wu, C. S., Apr 26 2025, CHI 2025 - Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery, 1210. (Conference on Human Factors in Computing Systems - Proceedings ).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

      18 Scopus citations
    • Facilitating Longitudinal Interaction Studies of AI Systems

      Long, T., Wang, S., Fabre, É., Wang, T., Sathya, A., Wu, J., Petridis, S. D., Li, D., Chakrabarty, T., Jiang, Y., Li, J., Tseng, T., Nakagaki, K., Yang, Q., Martelaro, N., Nickerson, J. V. & Chilton, L. B., Sep 27 2025, UIST Adjunct 2025 - Proceedings of the 38th Annual ACM Symposium on User Interface Software and Technology. Bianchi, A., Glassman, E., Zhao, S., Kim, J., Oakley, I. & Mackay, W. E. (eds.). Association for Computing Machinery, Inc, 13. (UIST Adjunct 2025 - Proceedings of the 38th Annual ACM Symposium on User Interface Software and Technology).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

      Open Access
      5 Scopus citations
    • Position: AI Safety Should Prioritize the Future of Work

      Hazra, S., Majumder, B. P. & Chakrabarty, T., 2025, In: Proceedings of Machine Learning Research. 267, p. 81542-81555 14 p.

      Research output: Contribution to journal › Conference article › peer-review

      1 Scopus citations
    • Understanding Figurative Meaning through Explainable Visual Entailment

      Saakyan, A., Kulkarni, S., Chakrabarty, T. & Muresan, S., 2025, Long Papers. Chiruzzo, L., Ritter, A. & Wang, L. (eds.). Association for Computational Linguistics (ACL), p. 1-23 23 p. (Proceedings of the 2025 Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies: Long Papers, NAACL-HLT 2025; vol. 1).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

      Open Access
      4 Scopus citations