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Publication

Archaeology of Self: Reflexivity in Data Activism to Address Systemic Injustices

Raechel Dionne Walker, Brady Cruse, Aisha Cora, Kantwon Rogers, Catherine D’Ignazio, Gretchen Brion-Meisels, and Cynthia Breazeal. 2025. Archaeology of Self: Reflexivity in Data Activism to Address Systemic Injustices. In Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO’25), November 05–07, 2025, Pittsburgh, PA, USA. ACM, New York, NY, USA, 14 pages. https://doi.org/10.1145/375

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"My Boyfriend is AI": A Computational Analysis of Human-AI Companionship in Reddit's AI Community

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Identifying Vocal and Facial Biomarkers of Depression in Large-Scale Remote Recordings: A Multimodal Study Using Mixed-Effects Modeling

Hidalgo Julia, N.*, Lewis, R., Ferguson*, C., Goldberg, S., Lau, W., Swords, C., Valdivia, G., Wilson-Mendenhall, C., Tartar, R., Picard, R., Davidson, R. (2025) Identifying Vocal and Facial Biomarkers of Depression in Large-Scale Remote Recordings: A Multimodal Study Using Mixed-Effects Modeling. Proc. Interspeech 2025, 5263-5267, doi: 10.21437/Interspeech.2025-2560

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Redefining Data Science: Where Transformative Youth Organizing Meets Arts-Based Abolitionist Education (Best Research Paper Award)

Raechel Walker, Brady Cruse, Aisha Cora, and Cynthia Breazeal. 2025. Redefining Data Science: Where Transformative Youth Organizing Meets Arts-Based Abolitionist Education. In Proceedings of the 2025 Conference on Research on Equitable and Sustained Participation in Engineering, Computing, and Technology (RESPECT 2025). Association for Computing Machinery, New York, NY, USA, 78–89. https://doi.org

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NeuroChat: A Neuroadaptive AI Chatbot for Customizing Learning Experiences

Dünya Baradari, Nataliya Kosmyna, Oscar Petrov, Rebecah Kaplun, and Pattie Maes. 2025. NeuroChat: A Neuroadaptive AI Chatbot for Customizing Learning Experiences. In Proceedings of the 7th ACM Conference on Conversational User Interfaces (CUI '25). Association for Computing Machinery, New York, NY, USA, Article 57, 1–21. https://doi.org/10.1145/3719160.3736623

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Exploring listeners' perceptions of AI-generated and human-composed music for functional emotional applications

Lecamwasam, K. and Chaudhuri, T.R. (2025). Exploring listeners' perceptions of AI-generated and human-composed music for functional emotional applications. arXiv preprint arXiv:2506.02856

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Simulating Society Requires Simulating Thought

Chance Jiajie Li, Jiayi Wu, Zhenze Mo, Ao Qu, Yuhan Tang, Kaiya Ivy Zhao, Yulu Gan, Jie Fan, Jiangbo Yu, Jinhua Zhao, Paul Liang, Luis Alonso, Kent Larson. (2025). Position: Simulating Society Requires Simulating Thought. In Proceedings of the 39th Conference on Neural Information Processing Systems (NeurIPS 2025).

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People Overtrust AI-Generated Medical Advice despite Low Accuracy

Shekar, S., Pataranutaporn, P., Sarabu, C., Cecchi, G. A., & Maes, P. (2025). People Overtrust AI-Generated Medical Advice despite Low Accuracy. NEJM AI, AIoa2300015.

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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].

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LLMs Outperform Experts on Challenging Biology Benchmarks

Justen, L. (2025). Llms outperform experts on challenging biology benchmarks (No. arXiv:2505.06108). arXiv. https://doi.org/10.48550/arXiv.2505.06108

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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

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NeuroChat: A Neuroadaptive AI Chatbot for Customizing Learning Experiences

Baradari, Dünya, Nataliya Kosmyna, Oscar Petrov, Rebecah Kaplun, and Pattie Maes. 2025. “NeuroChat: A Neuroadaptive AI Chatbot for Customizing Learning Experiences.” arXiv [Cs.HC]. arXiv. http://arxiv.org/abs/2503.07599.

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International AI Safety Report

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Enabling Perspective-Aware AI with Contextual Scene Graph Generation

Platnick, D., Alirezaie, M., & Rahnama, H. (2024). Enabling Perspective-Aware AI with Contextual Scene Graph Generation. Information, 15(12), 766. https://doi.org/10.3390/info15120766

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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.

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Beyond Imagination: Leveraging Generative AI to Enhance Learning Through Story World Analogies

Baradari, Dünya, Harry Han, Julia Xia, and Carey Ann Strelecki. 2024. “Beyond Imagination: Leveraging Generative AI to Enhance Learning through Story World Analogies.” In 2024 IEEE Frontiers in Education Conference (FIE), 1–8. IEEE. https://doi.org/10.1109/fie61694.2024.10892813.

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Superficial Alignment, Subtle Divergence, and Nudge Sensitivity in LLM Decision-Making

Manuel Cherep*, Nikhil Singh*, and Pattie Maes. "Superficial Alignment, Subtle Divergence, and Nudge Sensitivity in LLM Decision-Making." NeurIPS 2024 Workshop on Behavioral Machine Learning.

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Articulatory Synthesis of Speech and Diverse Vocal Sounds via Optimization

Luke Mo*, Manuel Cherep*, Nikhil Singh*, Quinn Langford, and Pattie Maes. Articulatory Synthesis of Speech and Diverse Vocal Sounds via Optimization. In Audio Imagination: NeurIPS 2024 Workshop AI-Driven Speech, Music, and Sound Generation.

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Developing Symbiotic Virtuosity: AI-Augmented Musical Instruments and Their Use in Live Music Performances

Blanchard, Lancelot*, Perry Naseck*, Eran Egozy, and Joseph A. Paradiso. 2024. “Developing Symbiotic Virtuosity: AI-Augmented Musical Instruments and Their Use in Live Music Performances.” An MIT Exploration of Generative AI, September. https://doi.org/10.21428/e4baedd9.69c11de7.

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Co-designing Generative AI Technologies with Older Adults to Support Daily Tasks

Chan, S. W. T., Liu, A. R., Ostrowski, A. K., Vaidya, M., Brady, S., Yoquinto, L., D’Ambrosio, L., Zulfikar, W., Maniar, N., Patskanick, T., Leong, J., Kosmyna, N., Coughlin, J., & Maes, P. (2024). Co-designing Generative AI Technologies with Older Adults to Support Daily Tasks. An MIT Exploration of Generative AI. https://doi.org/10.21428/e4baedd9.4f2a95fc

Publication

Human detection of political speech deepfakes across transcripts, audio, and video

Groh, M., Sankaranarayanan, A., Singh, N. et al. Human detection of political speech deepfakes across transcripts, audio, and video. Nat Commun 15, 7629 (2024). https://doi.org/10.1038/s41467-024-51998-z

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Dissertation: Cyborg Psychology: The Art & Science of Designing Human-AI Systems that Support Human Flourishing

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A large-scale audit of dataset licensing and attribution in AI

Longpre, S., Mahari, R., Chen, A. et al. A large-scale audit of dataset licensing and attribution in AI. Nat Mach Intell 6, 975–987 (2024). https://doi.org/10.1038/s42256-024-00878-8

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Conversational AI Powered by Large Language Models Amplifies False Memories in Witness Interviews

Chan, S., Pataranutaporn, P., Suri, A., Zulfikar, W., Maes, P., & Loftus, E. F. (2024). Conversational AI Powered by Large Language Models Amplifies False Memories in Witness Interviews. arXiv preprint arXiv:2408.04681.

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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.

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Creative Text-to-Audio Generation via Synthesizer Programming

Cherep*, M., Singh*, N., & Shand, J. (2024, July). Creative Text-to-Audio Generation via Synthesizer Programming. International Conference on Machine Learning (ICML)

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PlatoNeRF: 3D Reconstruction in Plato's Cave via Single-View Two-Bounce Lidar

Klinghoffer, Tzofi, et al. "PlatoNeRF: 3D Reconstruction in Plato's Cave via Single-View Two-Bounce Lidar." IEEE Conference on Computer Vision and Pattern Recognition (2024).

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Structural Learning in the design of Perspective-Aware AI Systems using Knowledge Graphs

Alirezaie, Marjan, Hossein Rahnama, and Alex Pentland. "Structural Learning in the design of Perspective-Aware AI Systems using Knowledge Graphs." Proceedings of the AAAI. 2024.

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Memoro: Using Large Language Models to Realize a Concise Interface for Real-Time Memory Augmentation

Wazeer Deen Zulfikar, Samantha Chan, and Pattie Maes. 2024. Memoro: Using Large Language Models to Realize a Concise Interface for Real-Time Memory Augmentation. In Proceedings of the CHI Conference on Human Factors in Computing Systems (CHI '24). Association for Computing Machinery, New York, NY, USA, Article 450, 1–18. https://doi.org/10.1145/3613904.3642450

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Putting Things into Context: Generative AI-Enabled Context Personalization for Vocabulary Learning Improves Learning Motivation

Joanne Leong, Pat Pataranutaporn, Valdemar Danry, Florian Perteneder, Yaoli Mao, and Pattie Maes. 2024. Putting Things into Context: Generative AI-Enabled Context Personalization for Vocabulary Learning Improves Learning Motivation. In CHI'24. May 11-16, 2024, Honolulu, HI, USA. ACM, New York NY, USA, 15 pages. https://doi.org/10.1145/3544548.3581039

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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

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Current-induced switching of a van der Waals ferromagnet at room temperature

Kajale, S.N., Nguyen, T., Chao, C.A. et al. Current-induced switching of a van der Waals ferromagnet at room temperature. Nat Commun 15, 1485 (2024). https://doi.org/10.1038/s41467-024-45586-4

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Deep learning-aided decision support for diagnosis of skin disease across skin tones

Groh, M., Badri, O., Daneshjou, R. et al. Deep learning-aided decision support for diagnosis of skin disease across skin tones. Nat Med (2024). https://doi.org/10.1038/s41591-023-02728-3

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Creative Text-to-Audio Generation via Synthesizer Programming

Singh*, N., Cherep*, M., & Shand, J. (2023, December). Creative Text-to-Audio Generation via Synthesizer Programming. In NeurIPS Machine Learning for Audio Workshop

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Sleep Deficiency Is Associated with Higher Next-Day Generalized Tonic-Clonic Seizure Risk

B. Zhang, W. V. Chen, G. Regalia, D. M. Goldenholz, and R. W. Picard, “Sleep deficiency is associated with higher next-day generalized tonic-clonic seizure risk”, in American Epilepsy Society 2023 Annual Meeting, 2023.

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Wearable Digital Health Technology

Friend, Stephen H., Geoffrey S. Ginsburg, and Rosalind W. Picard. "Wearable Digital Health Technology." New England Journal of Medicine 389.22 (2023): 2100-2101.

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Influencing human–AI interaction by priming beliefs about AI can increase perceived trustworthiness, empathy and effectiveness

Pataranutaporn, P., Liu, R., Finn, E. et al. Influencing human–AI interaction by priming beliefs about AI can increase perceived trustworthiness, empathy and effectiveness. Nat Mach Intell (2023). https://doi.org/10.1038/s42256-023-00720-7

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Federated Conformal Predictors for Distributed Uncertainty Quantification

Lu, Charles, et al. "Federated conformal predictors for distributed uncertainty quantification." International Conference on Machine Learning (ICML). PMLR, 2023.

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Conformal Prediction with Large Language Models for Multi-Choice Question Answering

Kumar, B.*, Lu, C.*, Gupta, G., Palepu, A., Bellamy, D., Raskar, R., & Beam, A. "Conformal Prediction with Large Language Models for Multi-Choice Question Answering." Neural Conversational AI Workshop at ICML 2023.

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Latent Lab: Large Language Models for Knowledge Exploration

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Parallel quasi-concave set function optimization for scalability even without submodularity