Education

Ph.D., Communication, Information & Media, Rutgers University
M.S., Computer Science, Jadavpur University
B.S., Computer Science, Jadavpur University

Background

Assistant professor at San Jose State University, School of Information from July 2020, to August 2026. Promoted to associate professor August2026.

Awards

Souvick Ghosh's scholarly and teaching contributions have been recognized with several honors. He was awarded the SJSU School of Information’s Research Excellence Award in 2023 and 2025, and the Distinguished Scholar Award in 2025. His research has also garnered peer recognition, including the 2025 CAIS Best Paper by a Practitioner Award, as well as nominations for Best Paper at ISIC 2022 and the Vannevar Bush Best Paper Award at JCDL 2023. For his dissertation, he received the Outstanding Graduating Student (Information Science) Award (2020) and was the runner-up for the iSchools Doctoral Dissertation Award (2021).

Research

Ghosh's scholarly work centers on building an ethical, human-centered approach to artificial intelligence. Heinvestigates the responsible adoption of emerging technologies in everyday life, focusing on conversational AI, explainable AI and applied AI for sociotechnical systems. Methodologically, he utilizes mixed methods — combining quantitative and qualitative research with machine learning and deep learning —t o unify technology, humanity and social good. Ultimately, his research aims to make AI more equitable, accessible and trustworthy by addressing complex problems, ensuring that emerging technologies advance the public good and positively impact society.

Funded Research

Move Fast...and Fix Things: Technology, Governance, and Hope: Co-PI on a project funded by the Gilman International Scholarship Program (U.S. Department of State’s Bureau of Educational and Cultural Affairs) for $59,952.20 in 2025.

InterPARES Trust AI: Co-applicant on a $2,000,000 grant funded by the Social Sciences and Humanities Research Council of Canada, active from August 2021 through July 2026.

CIRCLE: Cross-Campus Interdisciplinary Responsible Computing Learning Experiences: Co-PI on a project funded by the Mozilla Foundation with an initial grant of $149,890 (May 2023 – May 2024) and a renewal grant of $48,978 (March 2025 – March 2026).

Legally, Algorithmically, and Culturally Aware Systems of Accountability (LACASA): Principal Investigator for a project awarded $20,000 under the 2024 VPRI Teaming Award by the SJSU Office of Research.

Explainable Sentiment-Aware Conversational Agents: Principal Investigator for a project funded by the RSCA Seed Grant Program / SJSU Office of Research for $7,475 from May 2023 to May 2024.

Teaching

Ghosh's teaching philosophy centers on fostering an inclusive learning environment in which diverse student populations build a solid foundation in data-driven problem-solving, ethical AI development and responsible computing. His approach is hands-on and relevance-driven, translating complex technical concepts into real-world applications. At SJSU, he taught Information Retrieval System Design, Problem Solving with Data, and Mathematics for Machine Learning. At USC, he will be teaching the MLIS graduate course AI and Libraries, starting Fall 2026. His goal is to empower students to thrive as ethical, informed professionals in our rapidly evolving technological landscape.

Recent Publications

Ghosh, S., Fu, H., Hofman, D., & Mehra, B. (2026). Assessing Artificial Intelligence and Social Justice Intersections: Challenges and Opportunities. In Advances in Librarianship series, Emerald Group Publishing. [Book] [Proposal Accepted; Contract Signed; In Progress]

Ghosh, S. (2026). Governing and Designing AI‑Mediated Library Services. In Library and Information Science Education around the World: Historical Trends, Current Perspectives and Future Projections. IFLA Series Publications. [Book Chapter]  [In Progress]

Ghosh, S., Du, T., & Dubin, R. (2026). Scrolling for Comfort: Human-Information Interaction around Palliative Care on TikTok. In Proceedings of the Association for Information Science and Technology, 63. [Full Paper] [Student Co-author]  [Accepted]

Ghosh, S., Dubin, R. & Charette, C. (2026). Exploring Stereotype Bias In Large Language Model Dialogue Generation. In Proceedings of the Association for Information Science and Technology, 63. [Full Paper] [Student Co-author]  [Accepted]

Ghosh, S., Mehra, B., & Lu, K. (2026). Probability and Prejudice: A Scenario-Based Audit of Demographic Bias in LLM Judgments Across Law Enforcement and Healthcare. In Proceedings of the Association for Information Science and Technology, 63. [Full Paper] [Accepted]

Attar, N., Ghosh, S., Heller, P., Villagran, M.A., Hofman, D. (2026). Embedding Responsible Computing in an Undergraduate Computer Vision Course. In the International Conference on AI x Humanities, Education, and Art (AIxHEART 2026). [Position Paper] [Accepted]

Weiss, A., Ghosh, S., & Johnson, F. (2026, June). Toward a method of measuring dehumanization’s influence on sharing and believing misinformation. In the 54th Annual Conference of the Canadian Association for Information Science (CAIS 2026).

Service

Ghosh's service reflects a commitment to institutional leadership and professional advocacy. At SJSU, he served as the 2025–26 AI Faculty Fellow, co-led the Human-Centered AI Certificate and coordinated the BSISDA program. He contributed to governance through the General Education Advisory Committee and various departmental search and curriculum committees. Nationally, I held leadership roles in ASIS&T, including SIG Cabinet Director, and chaired the IDEA Institute on AI (2024-2026). I also direct the ICANN Lab, advise the Responsible Computing Club, and provide extensive doctoral and e-portfolio mentorship.

Pronouns

He, him, his, himself