PhD Dissertation Works
- Extended AI Interactions Shape Sycophancy and Perspective Mimesis
- Shomik Jain, Charlotte Park, Matheus Mesquita Viana, Ashia Wilson*, Dana Calacci*
- LLM Output Homogenization is Task Dependent
- Shomik Jain, Jack Lanchantin*, Maximilian Nickel*, Karen Ullrich*, Ashia Wilson*, Jamelle Watson-Daniels
- As an AI Language Model, “Yes I Would Recommend Calling the Police”: Norm Inconsistency in LLM Decision-Making
- Shomik Jain, Dana Calacci*, Ashia Wilson*
- AAAI/ACM Conference on AI, Ethics, and Society (AIES 2024)
- Allocation Multiplicity: Evaluating the Promises of the Rashomon Set
- Shomik Jain, Margaret Wang, Kathleen Creel*, Ashia Wilson*
- ACM Conference on Fairness, Accountability, and Transparency (FAccT 2025)
- Scarce Resource Allocations That Rely on Machine Learning Should Be Randomized
- Shomik Jain, Kathleen Creel, Ashia Wilson
- International Conference on Machine Learning (ICML 2024)
- Algorithmic Pluralism: A Structural Approach to Equal Opportunity
- Shomik Jain, Vinith Suriyakumar, Kathleen Creel, Ashia Wilson
- ACM Conference on Fairness, Accountability, and Transparency (FAccT 2024) (Best Paper Award)
*Equal Contribution
Other Publications
- Reality Check: A New Evaluation Ecosystem Is Necessary to Understand AI’s Real World Effects
- Reva Schwartz, Rumman Chowdhury, Akash Kundu, Heather Frase, Marzieh Fadaee, Tom David, Gabriella Waters, Afaf Taik, Morgan Briggs, Patrick Hall, Shomik Jain, Kyra Yee, Spencer Thomas, Sundeep Bhandari, Lee Wan Sie, Qinghua Lu, Matthew Holmes, Theodora Skeadas
- Artificial Intelligence Risk Management Framework: Generative AI Profile
- Chloe Autio, Reva Schwartz, Jesse Dunietz, Shomik Jain, Martin Stanley, Elham Tabassi, Patrick Hall, Kamie Roberts
- National Institute of Standards and Technology (NIST 2024)
- Assessing Risks and Impacts of AI: Program Evaluation Design Document
- Reva Schwartz, Gabriella Waters, Razvan Amironesei, Craig Greenberg, Jon Fiscus, Patrick Hall, Anya Jones, Shomik Jain, Afzal Godil, Kristen Greene, Ted Jensen, Noah Schulman
- National Institute of Standards and Technology (NIST 2024)
- Automating Transparency Mechanisms in the Judicial System Using LLMs: Opportunities and Challenges
- Ishana Shastri, Shomik Jain, Barbara Engelhardt, Ashia Wilson
- AAAI/ACM Conference on AI, Ethics, and Society (AIES 2024)
- Facebook Political Ads and Accountability: Outside Groups Are Most Negative, Especially When Hiding Donors
- Shomik Jain, Abby Wood
- AAAI International Conference on Web and Social Media (ICWSM 2024)
- Toward Personalized Affect-Aware SAR Tutors in Long-Term Interventions for Children with Autism
- Zhonghao Shi, Thomas Groechel, Shomik Jain, Kourtney Chima, Ognjen Rudovic, Maja Matarić
- ACM Transactions on Human-Robot Interaction (THRI 2022)
- Nowcasting Gentrification Using Airbnb Data
- Shomik Jain, Davide Proserpio, Giovanni Quattrone, Daniele Quercia
- ACM Conference on Computer-Supported Cooperative Work & Social Computing (CSCW 2021)
- Adversarial Perturbations Fool Deepfake Detectors
- Apurva Gandhi, Shomik Jain
- International Joint Conference on Neural Networks (IJCNN 2020)
- Modeling Engagement in Long-Term, In-Home Socially Assistive Robot Interventions for Children with Autism
- Shomik Jain, Balasubramanian Thiagarajan, Zhonghao Shi, Caitlyn Clabaugh, Maja J Matarić
- Science Robotics (2020)
- Long-Term Personalization of an In-Home Socially Assistive Robot for Children with Autism
- Caitlyn Clabaugh*, Kartik Mahajan*, Shomik Jain, Roxanna Pakkar, David Becerra, Zhonghao Shi, Eric Deng, Rhianna Lee, Gisele Ragusa, Maja Matarić
- Frontiers in Robotics and AI (2019)
- Attentiveness of Children with Diverse Needs to a Socially Assistive Robot in the Home
- Caitlyn Clabaugh, Shomik Jain, Balasubramanian Thiagarajan, Zhonghao Shi, Leena Mathur, Kartik Mahajan, Gisele Ragusa, Maja Matarić
- International Symposium on Experimental Robotics (ISER 2018)
- The Effect of Bisphenol A on Lactic Sativa var. Longifolia
- Shomik Jain
- Columbia Junior Science Journal (2016)