Proceedings of the AAAI/ACM Conference on AI Ethics and Society 2025: all accepted papers
- Complete Categorization of Instinct-Exploiting Data-Explanations and Their Generation with Large-Language Models ↗Taro Higuchi, Einoshin Suzuki
- Concept Creep in Safe Artificial Intelligence ↗Laura Fearnley, Ibrahim Habli
- Dataset-to-Dataset Evaluation Before (and Without) Sharing Data ↗Keren Fuentes, Mimee Xu, Irene Y. Chen
- Dead Zone of Accountability: Why Social Claims in Machine Learning Research Should Be Articulated and Defended ↗Tianqi Kou, Dan Calacci, Cindy Lin
- Demographic-Agnostic Fairness Without Harm ↗Zhongteng Cai, Mohammad Mahdi Khalili, Xueru Zhang
- Disaggregated Health Data in LLMs: Evaluating Data Equity in the Context of Asian American Representation ↗Uvini Balasuriya Mudiyanselage, Bharat Jayprakash, Kookjin Lee et al.
- Diverse Human Value Alignment for Large Language Models via Ethical Reasoning ↗Jiahao Wang, Songkai Xue, Jinghui Li et al.
- Do AI Companies Make Good on Voluntary Commitments to the White House? ↗Jennifer Wang, Kayla Huang, Kevin Klyman et al.
- Documenting Deployment with Fabric: A Repository of Real-World AI Governance ↗Mackenzie Jorgensen, Kendall Brogle, Katherine M. Collins et al.
- Effort-aware Fairness: Incorporating a Philosophy-informed, Human-centered Notion of Effort into Algorithmic Fairness Metrics ↗Tin Nguyen, Jiannan Xu, Zora Che et al.
- Enhancing Image Comprehension: The Impact of AI-Generated Explanations on Perception of Altered and Synthetic Media ↗Saquib Ahmed, Tejo Gayathri Busireddy, Sanorita Dey
- Enhancing Transparency and Research Ethics through Human AI Techniques ↗Tatiana Chakravorti
- Exclusive Flux: A Review of Flux’s Generation of LGBTQ+ Couples ↗Lynn Vonderhaar, Kayla Taylor, Jennifer Wojton et al.
- Experimental Evidence That AI-Managed Workers Tolerate Lower Pay Without Demotivation ↗Mengchen Dong, Levin U. L. Brinkmann, Omar Sherif et al.
- Exploring “Just Noticeable” Group Fairness in Rankings ↗Mallak Alkhathlan, Hilson Shrestha, Lane Harrison et al.
- FairPOT: Balancing AUC Performance and Fairness with Proportional Optimal Transport ↗Pengxi Liu, Yi Shen, Matthew Engelhard et al.
- Fairness-Aware Post-Processing in Supervised Classification: L1/L2 Norm and Optimal Swapping Methods ↗Flore Vancompernolle Vromman, Sylvain Courtain, Pierre Leleux et al.
- From Big Data to Valued Data: A Dataset Value Taxonomy for AI-Native Empirical Research ↗Scott Seidenberger, Anindya Maiti
- From Efficiency to Equity: Measuring Fairness in Preference Learning ↗Shreeyash Gowaikar, Hugo Berard, Rashid Ahmad Mushkani et al.
- From Explaining to Diagnosing: A Justice-Oriented Framework of Explainable AI for Bias Detection ↗Miriam Fahimi, Laura State, Atoosa Kasirzadeh
- GRAILS - A Framework for Embedding Ethical Safeguards in Software Applications for Responsible AI ↗Apurva Kulkarni, Chandrashekar Ramanathan
- Govern with, Not For: Understanding the Stuttering Community’s Preferences and Goals for Speech AI Data Governance in the US and China ↗Jingjin Li, Peiyao Liu, Rebecca Lietz et al.
- Hide or Highlight: Understanding the Impact of Factuality Expression on User Trust ↗Hyo Jin Do, Werner Geyer
- How Can Large Language Models Be More Reliable? ↗Yael Moros-Daval
- Human Centered AI for Research Ethics and Transparency ↗Tatiana Chakravorti
- Importance of User Control in Data-Centric Steering for Healthcare Experts ↗Aditya Bhattacharya, Simone Stumpf, Katrien Verbert
- IndiCASA: A Dataset and Bias Evaluation Framework for LLMs Using Contrastive Embedding Similarity in the Indian Context ↗Santhosh G S, Akshay Govind S, Gokul S Krishnan et al.
- Intent-Aware Example-Based Explainability ↗Ikhtiyor Nematov
- Investigating Political and Demographic Associations in Large Language Models Through Moral Foundations Theory ↗Nicole Smith-Vaniz, Harper Lyon, Lorraine Steigner et al.
- Known Unknowns and Unknown Unknowns: Designing a Scalable Adverse Event Reporting System for AI ↗Lindsey Gailmard, Drew Spence, Christie Lawrence et al.
- LLM-based Simulations of Human Behavior in Psychological Research ↗Santiago Flórez Sánchez
- Labeling in Their Shoes: Improving Text Annotation with Cognitive Empathy Priming (Extended Abstract) ↗Sung Hyun Kwon, Jessica Clark, Il-Horn Hann et al.
- Learning to Unlearn, Failing to Forget? Assessing Machine Unlearning Through Ethics and Epistemology ↗Iqra Aslam, Donal Khosrowi, Rahul Nagshi
- Legal Affiliates’ Views on Algorithmic Decision Making ↗Styliani Kleanthous, Maria Kasinidou
- Localizing Persona Representations in LLMs ↗Celia Cintas, Miriam Rateike, Erik Miehling et al.
- Making Bodies: Assumptions in the Design and Validation of Motion Capture Technology ↗Mona Sloane, Abigail Z. Jacobs, Emanuel Moss
- Making Sense of AI Ethics and Governance Investments ↗Marianna Bergamaschi Ganapini, Nicholas Berente, Francesca Rossi et al.
- Making Sense of Digital Domination ↗Jonne Maas
- Matters of Explanation: Rethinking Explainability with Tangible, Embodied, Material Interactions ↗Goda Klumbytė, Claude Draude
- Model Multiplicity for Responsible AI ↗Prakhar Ganesh
- Modeling Strategic Risk in School Choice: A Case for Transparent Design ↗Mayesha Tasnim, Paul Verhagen, Tobias Blanke et al.
- Models and Algorithms for Balancing Efficiency and Equity in Vaccine Allocation ↗Jeffrey Keithley, Madeline Bonner, Sriram V. Pemmaraju
- Needle in a Patched Haystack: Evaluating Saliency Maps for Vision LLMs ↗Bastien Zimmermann, Matthieu Boussard
- Operationalizing Critical Data Approaches in Fraud Detection in Latin America ↗Ana Paula Moritz, Alayna Kennedy
- Perceived Risks and Benefits of Disclosing ADHD to AI-based Educational Technologies: Semi-structured Interviews ↗Oriane Pierrès, Alireza Darvishy, Markus Christen
- Predictability in Autonomous Driving Systems ↗Fèlix Martí-Pérez
- Privacy in Image Datasets: A Case Study on Pregnancy Ultrasounds ↗Rawisara Lohanimit, Yankun Wu, Amelia Katirai et al.
- RAI Advocacy: Communicative Strategies for Advancing Responsible AI in Large Technology Companies ↗Jordan Duran, Samir Passi, Mihaela Vorvoreanu
- Re-imagining Virtual Communities: Ethical Guidelines for Studying Black Twitter ↗Christina A Chance, Kai-Wei Chang
- Reframing AI-for-Good: Radical Questioning in AI for Human Trafficking Interventions ↗Pratheeksha Nair, Gabriel Lefebvre, Maryam Molamohammadi et al.
- Responsible AI in the OSS: Reconciling Innovation with Risk Assessment and Disclosure ↗Mahasweta Chakraborti, Bert Joseph Prestoza, Nicholas Vincent et al.
- Reward-on-the-Line: A Novel Offline Reinforcement Learning Method for Building Legal Conversational Agents ↗Xubo Lin, Mingze Wang, Grace Hui Yang et al.
- Steerable Pluralism: Pluralistic Alignment via Few-Shot Comparative Regression ↗Jadie Adams, Brian Hu, Emily Veenhuis et al.
- Ten Insights from Other Domains That Inform Responsible AI Frameworks ↗Dunstan Allison-Hope, Patrick Gage Kelley, Reena Jana et al.
- The AI Power Disparity Index: Toward a Compound Measure of AI Actors’ Power to Shape the AI Ecosystem ↗Rachel Kim, Blaine Kuehnert, Seth Lazar et al.
- The Disparate Effects of Partial Information in Bayesian Strategic Learning ↗Srikanth Avasarala, Serena Wang, Juba Ziani
- The Model Hears You: Audio Language Model Deployments Should Consider the Principle of Least Privilege ↗Luxi He, Xiangyu Qi, Michel Liao et al.
- The ‘Wild West’ of Medicine: Exploring the Emergence of ‘Grassroots’ AI Governance in Radiology ↗Bhargavi Ganesh, Daniel S. Schiff, Stuart Anderson
- Toward A Causal Framework for Modeling Perception ↗José M. Álvarez, Salvatore Ruggieri
- Toward AI Matching Policies in Homeless Services: A Qualitative Study with Policymakers ↗Caroline M. Johnston, Olga Koumoundouros, Angel Hsing‐Chi Hwang et al.
- Understanding Endogenous Data Drift in Adaptive Models with Recourse-Seeking Users ↗Bo-Yi Liu, Z. K. Liu, Kuan Lun Chen et al.
- Unintended Impacts of Automation for Integration? Simulating Integration Outcomes of Algorithm-Based Refugee Allocation in Germany ↗Jakob Kappenberger, Clara Strasser Ceballos, Frederic Gerdon et al.
- What’s Individual About Individual Fairness? ↗Shai Ben-David, Pascale Gourdeau, Tosca Lechner et al.
- When Algorithms Fail: The Case for Moral Repair (Extended Abstract) ↗Pak‐Hang Wong, Gernot Rieder
- Will AI Take My Job? Evolving Perceptions of Automation and Labor Risk in Latin America ↗Andrea Cremaschi, Dae‐Jin Lee, Manuele Leonelli
- “Stealing Is Wrong… and Too Hard to Pull Off Successfully”: Inclusion of Normative Versus Capacity Information in Robot Command Rejection ↗Alyssa Hanson, Gordon Briggs, Ruchen Wen et al.
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