| 2026 | AAAI | Moral Change or Noise? On Problems of Aligning AI with Temporally Unstable Human Feedback. | Vijay Keswani, Cyrus Cousins, Breanna K. Nguyen, Vincent Conitzer, Hoda Heidari, Jana Schaich Borg, Walter Sinnott-Armstrong |
| 2026 | CHI | Workshop on Developing Standards and Documentation For LLM Use as Simulated Research Participants. | William Agnew, Shivani Kapania, Hope Schroeder, Marianne Aubin Le Qur, Sarah E. Fox, Hoda Heidari |
| 2026 | CHI | Navigating Uncertainties: How GenAI Developers Document Their Models on Open-Source Platforms. | Ningjing Tang, Megan Li, Amy A. Winecoff, Michael Madaio, Hoda Heidari, Hong Shen |
| 2025 | AIES | The AI Power Disparity Index: Toward a Compound Measure of AI Actors' Power to Shape the AI Ecosystem. | Rachel M. Kim, Blaine Kuehnert, Seth Lazar, Ranjit Singh, Hoda Heidari |
| 2025 | AIES | A Closer Look at the Existing Risks of Generative AI: Mapping the Who, What, and How of Real-World Incidents. | Megan Li, Wendy Bickersteth, Ningjing Tang, Lorrie Cranor, Jason I. Hong, Hong Shen, Hoda Heidari |
| 2025 | AIES | Toward Valid Measurement of (Un)fairness for Generative AI: A Proposal for Systematization Through the Lens of Fair Equality of Chances. | Kimberly Le Truong, Annette Zimmermann, Hoda Heidari |
| 2025 | AIES | Why Do Decision Makers (Not) Use AI? A Cross-Domain Analysis of Factors Impacting AI Adoption. | Rebecca Yu, Valerie Chen, Ameet Talwalkar, Hoda Heidari |
| 2025 | CHI | Simulacrum of Stories: Examining Large Language Models as Qualitative Research Participants. | Shivani Kapania, William Agnew, Motahhare Eslami, Hoda Heidari, Sarah E. Fox |
| 2025 | CHI | Can AI Model the Complexities of Human Moral Decision-making? A Qualitative Study of Kidney Allocation Decisions. | Vijay Keswani, Vincent Conitzer, Walter Sinnott-Armstrong, Breanna K. Nguyen, Hoda Heidari, Jana Schaich Borg |
| 2025 | CogSci | Facilitating Human-AI Coordination through Computational Theory of Mind. | Roderick Seow, Hoda Heidari, Cleotilde Gonzalez |
| 2025 | EMNLP | Persona-Augmented Benchmarking: Evaluating LLMs Across Diverse Writing Styles. | Kimberly Le Truong, Riccardo Fogliato, Hoda Heidari, Steven Wu |
| 2024 | AIES | On The Stability of Moral Preferences: A Problem with Computational Elicitation Methods. | Kyle Boerstler, Vijay Keswani, Lok Chan, Jana Schaich Borg, Vincent Conitzer, Hoda Heidari, Walter Sinnott-Armstrong |
| 2024 | AIES | Red-Teaming for Generative AI: Silver Bullet or Security Theater? | Michael Feffer, Anusha Sinha, Wesley H. Deng, Zachary C. Lipton, Hoda Heidari |
| 2024 | AIES | On the Pros and Cons of Active Learning for Moral Preference Elicitation. | Vijay Keswani, Vincent Conitzer, Hoda Heidari, Jana Schaich Borg, Walter Sinnott-Armstrong |
| 2024 | CHI | The Situate AI Guidebook: Co-Designing a Toolkit to Support Multi-Stakeholder, Early-stage Deliberations Around Public Sector AI Proposals. | Anna Kawakami, Amanda Coston, Haiyi Zhu, Hoda Heidari, Kenneth Holstein |
| 2024 | WWW | Fine-Tuning Games: Bargaining and Adaptation for General-Purpose Models. | Benjamin Laufer, Jon M. Kleinberg, Hoda Heidari |
| 2023 | AAAI | Local Justice and Machine Learning: Modeling and Inferring Dynamic Ethical Preferences toward Allocations. | Violet Xinying Chen, Joshua Williams, Derek Leben, Hoda Heidari |
| 2023 | AAAI | Moral Machine or Tyranny of the Majority? | Michael Feffer, Hoda Heidari, Zachary C. Lipton |
| 2023 | AIES | From Preference Elicitation to Participatory ML: A Critical Survey & Guidelines for Future Research. | Michael Feffer, Michael Skirpan, Zachary C. Lipton, Hoda Heidari |
| 2022 | ICML | Strategic Instrumental Variable Regression: Recovering Causal Relationships From Strategic Responses. | Keegan Harris, Dung Daniel T. Ngo, Logan Stapleton, Hoda Heidari, Steven Wu |
| 2022 | IJCAI | Allocating Opportunities in a Dynamic Model of Intergenerational Mobility (Extended Abstract). | Hoda Heidari, Jon M. Kleinberg |
| 2021 | AIES | Fair Equality of Chances for Prediction-based Decisions. | Michele Loi, Anders Herlitz, Hoda Heidari |
| 2021 | AIES | A Human-in-the-loop Framework to Construct Context-aware Mathematical Notions of Outcome Fairness. | Mohammad Yaghini, Andreas Krause, Hoda Heidari |
| 2021 | IJCAI | Addressing the Long-term Impact of ML Decisions via Policy Regret. | David Lindner, Hoda Heidari, Andreas Krause |
| 2019 | ICML | On the Long-term Impact of Algorithmic Decision Policies: Effort Unfairness and Feature Segregation through Social Learning. | Hoda Heidari, Vedant Nanda, Krishna P. Gummadi |
| 2019 | KDD | Mathematical Notions vs. Human Perception of Fairness: A Descriptive Approach to Fairness for Machine Learning. | Megha Srivastava, Hoda Heidari, Andreas Krause |
| 2019 | WWW | On the Impact of Choice Architectures on Inequality in Online Donation Platforms. | Abhijnan Chakraborty, Nuno Mota, Asia J. Biega, Krishna P. Gummadi, Hoda Heidari |
| 2019 | WWW | Economic Theories of Distributive Justice for Fair Machine Learning. | Krishna P. Gummadi, Hoda Heidari |
| 2018 | IJCAI | Preventing Disparate Treatment in Sequential Decision Making. | Hoda Heidari, Andreas Krause |
| 2018 | KDD | A Unified Approach to Quantifying Algorithmic Unfairness: Measuring Individual &Group Unfairness via Inequality Indices. | Till Speicher, Hoda Heidari, Nina Grgic-Hlaca, Krishna P. Gummadi, Adish Singla, Adrian Weller, Muhammad Bilal Zafar |
| 2016 | ICML | Pricing a Low-regret Seller. | Hoda Heidari, Mohammad Mahdian, Umar Syed, Sergei Vassilvitskii, Sadra Yazdanbod |
| 2016 | IJCAI | Tight Policy Regret Bounds for Improving and Decaying Bandits. | Hoda Heidari, Michael J. Kearns, Aaron Roth |
| 2014 | AAAI | New Models for Competitive Contagion. | Moez Draief, Hoda Heidari, Michael J. Kearns |
| 2014 | ICML | Learning from Contagion (Without Timestamps). | Kareem Amin, Hoda Heidari, Michael J. Kearns |
| 2013 | HCOMP | Depth-Workload Tradeoffs for Workforce Organization. | Hoda Heidari, Michael J. Kearns |
| 2011 | WWW | Toward optimal vaccination strategies for probabilistic models. | Zeinab Abbassi, Hoda Heidari |