Prerna Ravi
Prerna Ravi is a PhD candidate at MIT CSAIL advised by Prof. Hal Abelson, with collaborators across MIT including Michiel Bakker (Sloan), Cynthia Breazeal (Media Lab), Eric Klopfer (CMSW), and David Karger (CSAIL). Her work integrates participatory design, system development, and mixed-methods evaluation across HCI, AI, and education.
She develops AI agents and frameworks for equitable team participation, group trust, and consensus-building, alongside critical AI-literacy resources for K-12 and post-secondary contexts. She publishes in CHI, CSCW, AAAI, IDC, AIED, and CSCL.
Prerna is on the organizing committee for ACM IUI 2027, a Cooperative AI Foundation PhD Fellow, and an MIT EECS Communication Fellow.
Affiliation: MIT Computer Science and Artificial Intelligence Lab.
- Cooperative AI Foundation PhD Fellowship (2026)
- MIT EECS Communication Fellowship (2026)
- CHI 2025 Best Paper Honourable Mention (top 5%)
- L@S 2025 Best Paper Nomination
Prerna's prior work.
These papers are notsubmissions to the Mental Models of AI workshop. The workshop hasn't happened yet. They are the body of work Prerna brings to the committee, verified against personal sites and Google Scholar.
Leveraging LLMs to Identify Conversation Threads in Collaborative Learning
Develops an LLM-based pipeline that surfaces and analyses conversation threads in collaborative-learning transcripts, supporting fine-grained study of group dialogue at scale.
AI and Collective Decisions: Strengthening Legitimacy and Losers’ Consent
Studies how AI-mediated deliberation affects perceived legitimacy and the willingness of out-voted participants to abide by group decisions.
Exploring Teachers’ Perspectives on Using Conversational AI Agents for Group Collaboration
Agora: Teaching the Skill of Consensus-Finding with AI Personas Grounded in Human Voice
Agora pairs students with AI personas grounded in human voice samples to scaffold the skill of consensus-finding in group decision-making.
