| 2024 | Tree-Based Approaches for Interpretable Modeling in Healthcare. | Juliette Murris |
| 2024 | Particip-AI: A Democratic Surveying Framework for Anticipating Future AI Use Cases, Harms and Benefits. | Jimin Mun, Liwei Jiang, Jenny T. Liang, Inyoung Cheong, Nicole DeCario, Yejin Choi, Tadayoshi Kohno, Maarten Sap |
| 2024 | LLMs and Memorization: On Quality and Specificity of Copyright Compliance. | Felix B. Mueller, Rebekka Grge, Anna K. Bernzen, Janna C. Pirk, Maximilian Poretschkin |
| 2024 | Pay Attention: a Call to Regulate the Attention Market and Prevent Algorithmic Emotional Governance. | Franck Michel, Fabien Gandon |
| 2024 | Lessons from Clinical Communications for Explainable AI. | Alka V. Menon, Zahra Abba Omar, Nadia Nahar, Xenophon Papademetris, Lynn E. Fiellin, Christian Kstner |
| 2024 | The Code That Binds Us: Navigating the Appropriateness of Human-AI Assistant Relationships. | Arianna Manzini, Geoff Keeling, Lize Alberts, Shannon Vallor, Meredith Ringel Morris, Iason Gabriel |
| 2024 | Misplaced Capabilities: Evaluating the Risks of Anthropomorphism in Human-AI Interactions. | Takuya Maeda |
| 2024 | Beyond Participatory AI. | Jonne Maas, Aarn Moreno Ingls |
| 2024 | Making Sense of Digital Domination. | Jonne Maas |
| 2024 | Navigating Governance Paradigms: A Cross-Regional Comparative Study of Generative AI Governance Processes & Principles. | Jose Luna, Ivan Tan, Xiaofei Xie, Lingxiao Jiang |
| 2024 | Foregrounding Artist Opinions: A Survey Study on Transparency, Ownership, and Fairness in AI Generative Art. | Juniper L. Lovato, Julia Witte Zimmerman, Isabelle Smith, Peter Dodds, Jennifer L. Karson |
| 2024 | Social Scoring Systems for Behavioral Regulation: An Experiment on the Role of Transparency in Determining Perceptions and Behaviors. | Carmen Loefflad, Mo Chen, Jens Grossklags |
| 2024 | Automated Decision-Making Systems for Behavioral Regulation: Understanding Perceptions and Behavioral Reactions. | Carmen Loefflad |
| 2024 | Examining the Behavior of LLM Architectures Within the Framework of Standardized National Exams in Brazil. | Marcelo Sartori Locatelli, Matheus Prado Miranda, Igor Joaquim da Silva Costa, Matheus Torres Prates, Victor Thom, Mateus Zaparoli Monteiro, Tomas Lacerda, Adriana S. Pagano, Eduardo Rios Neto, Wagner Meira Jr., Virglio A. F. Almeida |
| 2024 | Foundations for Unfairness in Anomaly Detection - Case Studies in Facial Imaging Data. | Michael J. Livanos, Ian Davidson |
| 2024 | On Feasibility of Intent Obfuscating Attacks. | Zhaobin Li, Patrick Shafto |
| 2024 | "Democratizing AI" and the Concern of Algorithmic Injustice (Extended Abstract). | Ting-an Lin |
| 2024 | Enhancing Human-AI Collaboration through Adaptive Interaction and Explainability. | Zhaobin Li |
| 2024 | How Are LLMs Mitigating Stereotyping Harms? Learning from Search Engine Studies. | Alina Leidinger, Richard Rogers |
| 2024 | Compute North vs. Compute South: The Uneven Possibilities of Compute-based AI Governance Around the Globe. | Vili Lehdonvirta, Boxi Wu, Zoe Hawkins |
| 2024 | Human vs. Machine: Behavioral Differences between Expert Humans and Language Models in Wargame Simulations. | Max Lamparth, Anthony Corso, Jacob Ganz, Oriana Skylar Mastro, Jacquelyn Schneider, Harold Trinkunas |
| 2024 | Observing Context Improves Disparity Estimation when Race is Unobserved. | Kweku Kwegyir-Aggrey, Naveen Durvasula, Jennifer Wang, Suresh Venkatasubramanian |
| 2024 | On the Trade-offs between Adversarial Robustness and Actionable Explanations. | Satyapriya Krishna, Chirag Agarwal, Himabindu Lakkaraju |
| 2024 | The Main Challenges of AI Ethics: Historical Contextualization, Black-Boxing, Social Biases, Labor Invisibility. | Konstantinos Konstantis |
| 2024 | Responsible Reporting for Frontier AI Development. | Noam Kolt, Markus Anderljung, Joslyn Barnhart, Asher Brass, Kevin Esvelt, Gillian K. Hadfield, Lennart Heim, Mikel Rodriguez, Jonas B. Sandbrink, Thomas Woodside |