Sanjana Gautam
Postdoctoral Fellow
Biography
As a Bullard Research Fellow at the University of Texas, Austin's iSchool, Sanjana Gautam is dedicated to advancing human-centered AI, with a particular focus on explainable AI, human-agent interaction, and AI-driven education. Her work integrates AI, human-computer interaction, and human behavioral dynamics, grounded in the design and research of AI-powered, community-driven technologies that enhance how people work. Sanjana earned her PhD from Penn State's College of Information Sciences and Technology under the guidance of Dr. Mary Beth Rosson and was an active member of the Innovation and Collaboration Lab, led by Dr. Jack M. Carroll and Dr. Mary Beth Rosson.Currently, she collaborates with Dr. Matthew Lease, applying her expertise to applied research in generative models. Sanjana applies her technical expertise and interdisciplinary knowledge to tackle key challenges in human-agent interaction, with a strong focus on the ethical development and implementation of AI systems. Her research aims to create AI systems that not only empower individuals but also foster collaboration and productivity within communities.
Degrees
Ph.D. in Informatics, The Pennsylvania State UniversityB.Tech in Computer Science and Engineering, Shiv Nadar University
Areas Of Specialization
Human-Centered AI
Explainable AI Design
AI Ethics
Human-Agent Experience Design
Recent Publications
Ghosh, S.*, Venkit, P.*, Gautam, S.*, Wilson, S., and Caliskan, A. Do Generative AI Models Output Harm while Representing Non-Western Cultures: Evidence from A Community-Centered Approach. AI, Ethics and Society (2024) (Accepted)
Gautam, S., Zhang, X., and Rosson, M.B.. Towards Dynamic Learning: A Framework for Simulating Adaptive Learning Systems. Companion of the 2024 Computer-Supported Cooperative Work and Social Computing (CSCW 2024). (Accepted)
Gautam, S., and Srinath, M. Blind Spots and Biases: Exploring the Role of Annotator Cognitive Biases in NLP. Third Workshop on Bridging Human-Computer Interaction and Natural Language Processing. NAACL.
Mahomed, Y., Crawford, C., Gautam, S., Friedler, S., and Metaxa, D.. Auditing GPT's Content Moderation Guardrails: Can ChatGPT Write Your Favorite TV Show? ACM Conference on Fairness, Accountability, and Transparency 2024 (ACM FAccT 2024)
Lakshminarayanan, R.* and Gautam, S. *(2024) Balancing Act: Improving Privacy in AI through Explainability. (ACM CHI Workshop on Human-Centered Explainable AI) at ACM CHI conference on Human Factors in Computing Systems 2024 (CHI '24).
Gautam, S., Venkit, P. and Ghosh, S. (2024). From Melting Pots to Misrepresentations: Exploring Harms in Generative AI. (Generative AI and HCI) at ACM CHI conference on Human Factors in Computing Systems 2024 (CHI'24).
View more in Google ScholarRecent Awards
- Logic(s) Liberatory Tech Fellow
- College of IST Graduate Student Travel Grant
- Nittany AI Challenge 2023 SemiFinalist (ChronoNews)
- Nittany AI Challenge 2023 SemiFinalist (ClassCollab)
- Robert Graham Endowment Graduate Fellow, Pennsylvania State University