| 2024 | The Problems with Proxies: Making Data Work Visible through Requester Practices. | Annabel Rothschild, Ding Wang, Niveditha Jayakumar Vilvanathan, Lauren Wilcox, Carl DiSalvo, Betsy DiSalvo |
| 2024 | Introducing ELLIPS: An Ethics-Centered Approach to Research on LLM-Based Inference of Psychiatric Conditions. | Roberta Rocca, Giada Pistilli, Kritika Maheshwari, Riccardo Fusaroli |
| 2024 | A Human-in-the-Loop Fairness-Aware Model Selection Framework for Complex Fairness Objective Landscapes. | Jake Robertson, Thorsten Schmidt, Frank Hutter, Noor H. Awad |
| 2024 | Fairness in Reinforcement Learning: A Survey. | Anka Reuel, Devin Ma |
| 2024 | Gaps in the Safety Evaluation of Generative AI. | Maribeth Rauh, Nahema Marchal, Arianna Manzini, Lisa Anne Hendricks, Ramona Comanescu, Canfer Akbulut, Tom Stepleton, Juan Mateos-Garcia, A. Stevie Bergman, Jackie Kay, Conor Griffin, Ben Bariach, Iason Gabriel, Verena Rieser, William Isaac, Laura Weidinger |
| 2024 | Learning When Not to Measure: Theorizing Ethical Alignment in LLMs. | William Rathje |
| 2024 | Breaking Bias, Building Bridges: Evaluation and Mitigation of Social Biases in LLMs via Contact Hypothesis. | Chahat Raj, Anjishnu Mukherjee, Aylin Caliskan, Antonios Anastasopoulos, Ziwei Zhu |
| 2024 | PPS: Personalized Policy Summarization for Explaining Sequential Behavior of Autonomous Agents. | Peizhu Qian, Harrison Huang, Vaibhav V. Unhelkar |
| 2024 | What to Trust When We Trust Artificial Intelligence (Extended Abstract). | Duncan Purves, Schuyler Sturm, John Madock |
| 2024 | Not Oracles of the Battlefield: Safety Considerations for AI-Based Military Decision Support Systems. | Emelia Probasco, Matthew Burtell, Helen Toner, Tim G. J. Rudner |
| 2024 | Disengagement through Algorithms: How Traditional Organizations Aim for Experts' Satisfaction. | Jrmie Poiroux |
| 2024 | CIVICS: Building a Dataset for Examining Culturally-Informed Values in Large Language Models. | Giada Pistilli, Alina Leidinger, Yacine Jernite, Atoosa Kasirzadeh, Alexandra Sasha Luccioni, Margaret Mitchell |
| 2024 | A Model- and Data-Agnostic Debiasing System for Achieving Equalized Odds. | Thomas Pinkava, Jack W. McFarland, Afra Mashhadi |
| 2024 | Proxy Fairness under the European Data Protection Regulation and the AI Act: A Perspective of Sensitivity and Necessity. | Ioanna Papageorgiou |
| 2024 | Face the Facts: Using Face Averaging to Visualize Gender-by-Race Bias in Facial Analysis Algorithms. | Kentrell Owens, Erin Freiburger, Ryan Hutchings, Mattea Sim, Kurt Hugenberg, Franziska Roesner, Tadayoshi Kohno |
| 2024 | Perception of Experience Influences Altruism and Perception of Agency Influences Trust in Human-Machine Interactions (Extended Abstract). | Mayada Oudah, Kinga Makovi, Kurt Gray, Balaraju Battu, Talal Rahwan |
| 2024 | Hidden or Inferred: Fair Learning-To-Rank With Unknown Demographics. | Oluseun Olulana, Kathleen Cachel, Fabricio Murai, Elke A. Rundensteiner |
| 2024 | Are Large Language Models Moral Hypocrites? A Study Based on Moral Foundations. | Jos Luiz Nunes, Guilherme F. C. F. Almeida, Marcelo de Arajo, Simone D. J. Barbosa |
| 2024 | Measuring Human-AI Value Alignment in Large Language Models. | Hakim Norhashim, Jungpil Hahn |
| 2024 | Advancing Early Alzheimer's Disease Detection in Underdeveloped Areas with Fair Explainable AI Methods. | Quoc-Toan Nguyen |
| 2024 | AIDE: Antithetical, Intent-based, and Diverse Example-Based Explanations. | Ikhtiyor Nematov, Dimitris Sacharidis, Katja Hose, Tomer Sagi |
| 2024 | Intent-Aware Example-Based Explainability. | Ikhtiyor Nematov |
| 2024 | Human-Centered AI Applications for Canada's Immigration Settlement Sector. | Isar Nejadgholi, Maryam Molamohammadi, Kimiya Missaghi, Samir Bakhtawar |
| 2024 | Habemus a Right to an Explanation: so What? - A Framework on Transparency-Explainability Functionality and Tensions in the EU AI Act. | Luca Nannini |
| 2024 | Quantifying Gendered Citation Imbalance in Computer Science Conferences. | Kazuki Nakajima, Yuya Sasaki, Sohei Tokuno, George Fletcher |