Prototyping a better future for communication through human-led, AI-assisted systems for collective listening, understanding, and action
Agora: Teaching the Skill of Consensus-Finding with AI Personas Grounded in Human Voice
Suyash Pradeep Fulay, Prerna Ravi, Om Gokhale, Eugene Yi, Michiel A. Bakker, and Deb Roy. 2026. Agora: Teaching the Skill of Consensus-Finding with AI Personas Grounded in Human Voice. In CHI EA ’26: Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems. Article 80, 1–6. https://doi.org/10.1145/3772363.3798888
Anthology: AI-Augmented Sensemaking Interface to Reduce Radicalization in Conversations
Om Gokhale, Chayapatr Archiwaranguprok, Rachel Poonsiriwong, Pattie Maes, and Pat Pataranutaporn. 2026. Anthology. In Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems (CHI EA ’26). Association for Computing Machinery, New York, NY, USA, Article 91, 1–6. https://doi.org/10.1145/3772363.3799062
Expressive Speech Retrieval using Natural Language Descriptions of Speaking Style
Wonjune Kang and Deb Roy. "Expressive Speech Retrieval using Natural Language Descriptions of Speaking Style." In IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), IEEE, 2025.
From Dialogue to Decision: An LLM-Powered Framework for Analyzing Collective Idea Evolution and Voting Dynamics in Deliberative Assemblies
Poole-Dayan, Elinor G. (2025). From Dialogue to Decision: An LLM-Powered Framework for Analyzing Collective Idea Evolution and Voting Dynamics in Deliberative Assemblies [Master’s thesis, Massachusetts Institute of Technology].
LLMs for Public Narrative Understanding
Elinor Poole-Dayan*, Daniel T. Kessler*, Margaret Hughes, Emily S. Lin, Marshall Ganz and Deb Roy. 2025. LLMs for Public Narrative Understanding. NAACL Workshop on Narrative Understanding, Albuquerque, New Mexico, USA. Association for Computational Linguistics. https://arxiv.org/abs/2511.13505
AudienceView: AI-Assisted Interpretation of Audience Feedback in Journalism
William Brannon, Doug Beeferman, Hang Jiang, Andrew Heyward, & Deb Roy (2024). AudienceView: AI-Assisted Interpretation of Audience Feedback in Journalism. In Proceedings of CSCW. URL: https://arxiv.org/abs/2407.12613
Anonymization of Voices in Spaces for Civic Dialogue: Measuring Impact on Empathy, Trust, and Feeling Heard
Wonjune Kang, Margaret A. Hughes, and Deb Roy. "Anonymization of Voices in Spaces for Civic Dialogue: Measuring Impact on Empathy, Trust, and Feeling Heard." Proceedings of the ACM on Human-Computer Interaction 8, no. CSCW2 (2024): 1-22.
LLM Targeted Underperformance Disproportionately Impacts Vulnerable Users
Poole-Dayan, Elinor, Deb Roy, and Jad Kabbara. "LLM Targeted Underperformance Disproportionately Impacts Vulnerable Users." Proceedings of the AAAI Conference on Artificial Intelligence (Jan. 2026). https://arxiv.org/abs/2406.17737.
Prompting Large Language Models with Audio for General-Purpose Speech Summarization
Wonjune Kang and Deb Roy. "Prompting Large Language Models with Audio for General-Purpose Speech Summarization." In Proc. Interspeech, pp. 1955-1959. 2024.
Beyond-the-Ice
Lee, Cassandra. Beyond-the-Ice: Designing Games for Facilitating Deeper Conversations. 2024. Massachusetts Institute of Technology, Master's thesis.
Leveraging Large Language Models for Learning Complex Legal Concepts through Storytelling
Hang Jiang, Xiajie Zhang, Robert Mahari, Daniel Kessler, Eric Ma, Tal August, Irene Li, Alex Pentland, Yoon Kim, Deb Roy, and Jad Kabbara. 2024. Leveraging Large Language Models for Learning Complex Legal Concepts through Storytelling. In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 7194–7219, Bangkok, Thailand.
A Safe Harbor for AI Evaluation and Red Teaming
Artificial Intelligence (cs.AI), arXiv:2403.04893 [cs.AI] (or arXiv:2403.04893v1 [cs.AI] for this version) https://doi.org/10.48550/arXiv.2403.04893 | Shayne Longpre* 1 Sayash Kapoor** 2 Kevin Klyman** 3 Ashwin Ramaswami 4 Rishi Bommasani 3 Borhane Blili-Hamelin 5 Yangsibo Huang 2 Aviya Skowron 6 Zheng-Xin Yong 7 Suhas Kotha 8 Yi Zeng 9 Weiyan Shi 10 Xianjun Yang 11 Reid Southen Alexander Robey
Art and the science of generative AI
Epstein, Hertzmann, et al. "Art and the science of generative AI." Science 380.6650 (2023): 1110-1111.
A Basis for Narrative Reframing Agents
Daniel T. Kessler. 2023. A Basis for Narrative Reframing Agents. In the Proceedings of the ACM CHI Conference on Human Factors in Computing Systems: Inclusive Design of CUIs Across Modalities and Mobilities, April 23, 2023, Hamburg, Germany. ACM ISBN 978-1-4503-6819-3/20/04. DOI: https://doi.org/10.1145/3334480.XXXXXXX
Trash to Treasure: Using text-to-image models to inform the design of physical artefacts
Smith, A., Schroeder, H., Epstein, Z., Cook, M., Colton, S., & Lippman, A. (2023). Trash to Treasure: Using text-to-image models to inform the design of physical artefacts.
CommunityLM: Probing Partisan Worldviews from Language Models
Hang Jiang, Doug Beeferman, Brandon Roy, and Deb Roy. 2022. CommunityLM: Probing Partisan Worldviews from Language Models. In Proceedings of the 29th International Conference on Computational Linguistics (COLING), pages 6818–6826, Gyeongju, Republic of Korea. International Committee on Computational Linguistics.
End-to-End Zero-Shot Voice Conversion with Location-Variable Convolutions
Wonjune Kang, Mark Hasegawa-Johnson, and Deb Roy. "End-to-End Zero-Shot Voice Conversion with Location-Variable Convolutions." In Proc. Interspeech, pp. 2303-2307. 2023.
Using Twitter Data to Understand Public Perceptions of Approved versus Off-label Use for COVID-19-related Medications
Hua, Yining*, Hang Jiang*, Shixu Lin, Jie Yang, Joseph M. Plasek, David W. Bates, and Li Zhou. "Using Twitter Data to Understand Public Perceptions of Approved versus Off-label Use for COVID-19-related Medications." Journal of the American Medical Informatics Association (2022). *Equal Contribution.
LNN-EL: A Neuro-Symbolic Approach to Short-text Entity Linking
Jiang, Hang, Sairam Gurajada, Qiuhao Lu, Sumit Neelam, Lucian Popa, Prithviraj Sen, Yunyao Li, and Alexander Gray. "LNN-EL: A Neuro-Symbolic Approach to Short-text Entity Linking." ACL (2021).