NYC Responsible AI Research Day, Spring 2026


We were pleased to host NYC Responsible AI Research Day, organized by the NYU Tandon Center for Responsible AI (R/AI) as part of the New York AI Exchange, our ongoing initiative to convene diverse voices in sustained dialogue around the future of AI.

This in-person gathering brought together 70 researchers from across the greater New York City area who are advancing Responsible AI across disciplines, methods, and perspectives, highlighting current research—published, in progress, or exploratory. The program also included a curated poster session and dedicated time for discussion and informal exchange, with refreshments throughout the afternoon.

🏆 Congratulations to the poster award winners!

Best poster award: Kevin Ren (Cornell Tech) On the Validity of AI Text Detection, and Positive-Unlabeled Learning as a Partial Solution

Runner-up awards: Sajel Surati (NYU) Resume-ing Control: (Mis)Perceptions of Agency Around GenAI Use in Recruiting Workflows; Subhodeep Ghosh (NJIT) Rethinking Fairness in LLM Embedding; Sara Matijevic (Columbia/ University of Oxford) Bootstrapping-based Regularisation for Reducing Individual Prediction Instability in Clinical Risk Prediction Models.

Event details

When: Friday, March 27, 2026, 2-7:00 pm EDT

Where: 370 Jay Street, Room 1201, Brooklyn, NY 11201

Schedule

  • 2:00–2:45 PM: Arrival, Coffee
    Informal arrival, coffee, and time to settle in.

  • 2:45–3:00 PM: Welcome
    • Speakers: Julia Stoyanovich and Emily Black (NYU)
  • 3:00–4:00 PM: Session 1 — Methods and Evaluation
    • Speaker 1: Angelina Wang (Cornell Tech) (3:00 PM)
      The Inadequacy of Offline LLM Evaluations: A Need to Account for Personalization in Model Behavior
    • Speaker 2: Agathe Balayn (Microsoft Research) (3:15 PM)
      A Framework to Characterize Reporting on Generative AI Use
    • Speaker 3: Daniel Neill (NYU) (3:30 PM)
      End-to-End Fairness in AI
    • Speaker 4: Senjuti Basu Roy (NJIT) (3:45 PM)
      Promoting Fairness and Priority in k-Winners Selection Using Instant-Runoff Voting

  • 4:00–4:30 PM: Break
    Coffee and informal conversation.

  • 4:30–5:30 PM: Session 2 — Responsible AI in Practice
    • Speaker 5: Juan Carlos Perdomo (NYU) (4:30 PM)
      Empirically Understanding the Value of Prediction in Allocation
    • Speaker 6: Nina Loshkajian (NYU Law) (4:45 PM)
      Technology & Racial Justice Collaborative: Building Alternatives to Surveillance and State Violence
    • Speaker 7: Lily Xu (Columbia) (5:00 PM)
      Incentivizing Agents to Optimally Explore, and Other Problems in AI for Biodiversity
    • Speaker 8: Emily Black (NYU) (5:15 PM)
      Algorithmic UDAP
  • 5:30–7:00 PM: Posters, Food, Networking
    • Poster 1: Allison Koenecke (Cornell Tech) LLMs in Social Services: How Does Chatbot Accuracy Affect Human Accuracy?
    • Poster 2: Aparajita Kashyap (Columbia) A Pipeline for Enabling Path-Specific Causal Fairness in Observational Health Data
    • Poster 3: Bayan Divaaniaazar (NJIT)
      AI-Assistants for Decision-Making via Algorithmic Rankers
    • Poster 4: Camille Harris (Cornell Tech)
      Towards Responsible Human-Chatbot Interaction for Social Well-being
    • Poster 5: Conlan Olson (Columbia)
      Fair Decision Making Under Performativity
    • Poster 6: Eliza Berman (NYU Courant)
      Who Gets Attributed: Attribution Patterns and Demographic Biases in Large Language Models
    • Poster 7: Emma Harvey (Cornell Tech)
      A Framework for Auditing Chatbots for Dialect-Based Quality-of-Service Harms
    • Poster 8: Ira Globus-Harris (Cornell)
      Reimagining Meaningful Model Multiplicity
    • Poster 9: Isabel Corpus (Cornell)
      Into the Unknown: Accounting for Missing Demographic Data When Mitigating Ad Delivery Skew
    • Poster 10: Jenna Gosciak (Cornell Tech)
      Bias Delayed is Bias Denied? Assessing the Effect of Reporting Delays on Disparity Assessments
    • Poster 11: João Fonseca (INESC-ID / NYU)
      ExplainerPFN: Towards Tabular Foundation Models for Model-Free Zero-Shot Feature Importance Estimations
    • 🏆Best poster award: Poster 12: Kevin Ren (Cornell Tech)
      On the Validity of AI Text Detection, and Positive-Unlabeled Learning as a Partial Solution
    • Poster 13: Koduvayur Parthasarathy Subbalakshmi & Sabbir Hossain Ujjal (Stevens Institute of Technology)
      Listen to the Layers: Mitigating Hallucinations with Inter-Layer Disagreement
    • Poster 14: Mateo Dulce Rubio (NYU)
      The Limits of AI-Driven Allocation: Optimal Screening under Aleatoric Uncertainty
    • Poster 15: Miao Zhang (NYU)
      Identity-Robust Language Model Generation via Content Integrity Preservation
    • Poster 16: Olawale Salaudeen (MIT)
      Domain Generalization Benchmarks with Accuracy on the Line are Misspecified
    • 🏆Best poster runner-up: Poster 17: Sajel Surati (NYU)
      Resume-ing Control: (Mis)Perceptions of Agency Around GenAI Use in Recruiting Workflows
    • 🏆Best poster runner-up: Poster 18: Subhodeep Ghosh (NJIT)
      Rethinking Fairness in LLM Embedding
    • 🏆Best poster runner-up: Poster 19: Sara Matijevic (Columbia/ University of Oxford) Bootstrapping-based Regularisation for Reducing Individual Prediction Instability in Clinical Risk Prediction Models
    • Poster 20: Vrushali Koli (NJIT)
      Interactive Visualization for Calibrating Instructional Effectiveness
    • Poster 21: Yuta Kobayashi (Columbia)
      Aligning Probabilistic Beliefs under Informative Missingness: LLM Steerability in Clinical Reasoning
Questions?

If you have any questions, please contact us by emailing both ak1222 (at) nyu (dot) edu and stoyanovich (at) nyu (dot) edu.

We look forward to welcoming you to the Spring 2026 NYC Responsible AI Research Day!