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ORCID8th AIES 2025: Madrid, Spain - Main Track I
- Emanuelle Burton, Nicholas Mattei, Andrés Páez:
Proceedings of the Eighth AAAI/ACM Conference on AI, Ethics, and Society, AIES 2025, Madrid, Spain, October 20-22, 2025, Main Track I. AAAI Press 2025
Main Track I
- Mohamed Abdalla:
$100, 000 or the Robot Gets It! Tech Workers' Resistance Guide: Tech Worker Actions, History, Risks, Impacts, and the Case for a Radical Flank. 2-14 - Jadie Adams, Brian Hu, Emily Veenhuis, David Joy, Bharadwaj Ravichandran, Aaron Bray, Anthony Hoogs, Arslan Basharat:
Steerable Pluralism: Pluralistic Alignment via Few-Shot Comparative Regression. 15-25 - William Agnew, Julia Barnett, Annie Chu, Rachel Hong, Michael Feffer, Robin Netzorg, Harry H. Jiang, Ezra Awumey, Sauvik Das:
Sound Check: Auditing Recent Audio Dataset Practices. 26-40 - Saquib Ahmed, Tejo Gayathri Busireddy, Sanorita Dey:
Enhancing Image Comprehension: The Impact of AI-Generated Explanations on Perception of Altered and Synthetic Media. 41-54 - Esma Aïmeur, Gilles Brassard, Dorsaf Sallami:
Too Focused on Accuracy to Notice the Fallout: Towards Socially Responsible Fake News Detection. 55-65 - Ebtesam Al Haque, Gabriella Thompson, Angela D. R. Smith, Brittany Johnson:
An Investigation into Black and Brown Communities' Engagement with Data & Technology. 66-75 - Mallak Alkhathlan, Hilson Shrestha, Lane Harrison, Elke A. Rundensteiner:
Exploring "Just Noticeable" Group Fairness in Rankings. 76-89 - Mowafak Allaham, Kimon Kieslich, Nicholas Diakopoulos:
Informing AI Risk Assessment with News Media: Analyzing National and Political Variation in the Coverage of AI Risks. 90-103 - Dunstan Allison-Hope, Patrick Gage Kelley, Reena Jana, Angela McKay, Allison Woodruff:
Ten Insights from Other Domains That Inform Responsible AI Frameworks. 104-115 - Abdalwahab Almajed, Maryam Tabar, Peyman Najafirad:
A Comprehensive Evaluation of the Sensitivity of Density-Ratio Estimation Based Fairness Measurement in Regression. 116-126 - Saad Alqithami
:
Adaptive Accountability in Networked Multi-Agent Systems. 127-137 - Sara Altamirano, Arjan Vreeken, Sennay Ghebreab:
Machine Learning and Public Health: Identifying and Mitigating Algorithmic Bias Through a Systematic Review. 138-151 - Adriana Alvarado Garcia, Nishanshi Atulkumar Shukla, Muneeza Azmat, Marisol Wong-Villacres:
Disciplinary Practices in the Generation of Text Synthetic Data: A Critical Discourse Analysis. 152-165 - José M. Álvarez, Salvatore Ruggieri:
Toward A Causal Framework for Modeling Perception. 166-178 - Bryce Anderson, Riley Galpin, Tom S. Juzek:
Model Misalignment and Language Change: Traces of AI-Associated Language in Unscripted Spoken English. 179-191 - Rauno Arike, Elizabeth Donoway, Henning Bartsch, Marius Hobbhahn:
Evaluating Goal Drift in Language Model Agents. 192-203 - Iqra Aslam, Donal Khosrowi, Rahul Nagshi:
Learning to Unlearn, Failing to Forget? Assessing Machine Unlearning Through Ethics and Epistemology. 204-216 - Farah Atif, Nursultan Askarbekuly, Kareem Darwish, Monojit Choudhury:
Sacred or Synthetic? Evaluating LLM Reliability and Abstention for Religious Questions. 217-226 - Srikanth Avasarala, Serena Wang, Juba Ziani:
The Disparate Effects of Partial Information in Bayesian Strategic Learning. 227-237 - Frederick Awuah-Gyasi, Trilce Estrada:
AI-OCI: A Novel Framework for Assessing AI's Workforce Impact Using LLMs. 238-248 - Minja Axelsson, Jiaee Cheong, Rune Nyrup, Hatice Gunes:
Who Owns the Robot?: Four Ethical and Socio-Technical Questions About Wellbeing Robots in the Real World Through Community Engagement. 249-264 - Kola Ayonrinde, Louis Jaburi:
A Mathematical Philosophy of Explanations in Mechanistic Interpretability. 265-278 - Prachi Bagave, Marcus Westberg, Marijn Janssen, Aaron Yi Ding:
Accountability Framework for Healthcare AI Systems: Towards Joint Accountability in Decision Making. 279-291 - Uvini Balasuriya Mudiyanselage, Bharat Jayprakash, Kookjin Lee, K. Hazel Kwon:
Disaggregated Health Data in LLMs: Evaluating Data Equity in the Context of Asian American Representation. 292-303 - Pinar Barlas:
A Critical Look at a Critical Care Dataset: MIMIC-IV's Construction, Contents, & Consequences. 304-315 - Julia Barnett, Kimon Kieslich, Jasmine Sinchai, Nicholas Diakopoulos:
Scenarios in Computing Research: A Systematic Review of the Use of Scenario Methods for Exploring the Future of Computing Technologies in Society. 316-329 - Jan Batzner, Volker Stocker, Stefan Schmid, Gjergji Kasneci:
GermanPartiesQA: Benchmarking Commercial Large Language Models and AI Companions for Political Alignment and Sycophancy. 330-342 - Jan Batzner, Volker Stocker, Bingjun Tang, Anusha Natarajan, Qinhao Chen, Stefan Schmid, Gjergji Kasneci:
Whose Personae? Synthetic Persona Experiments in LLM Research and Pathways to Transparency. 343-354 - Kevin Baum, Marija Slavkovik:
Aggregation Problems in Machine Ethics and AI Alignment. 355-366 - Hamza Belgroun, Franck Michel, Fabien Gandon:
No Such Thing as Free Brain Time: For a Pigouvian Tax on Attention Capture. 367-378 - Shai Ben-David, Pascale Gourdeau, Tosca Lechner, Ruth Urner:
What's Individual About Individual Fairness? 379-390 - Garfield Benjamin:
Centring the Margins: Mapping AI Systems as Systems of Power. 391-402 - Brinnae Bent:
The Term 'Agent' Has Been Diluted Beyond Utility and Requires Redefinition. 403-413 - Marianna Bergamaschi Ganapini, Nicholas Berente, Francesca Rossi, Brian C. Goehring, Marialena Bevilacqua:
Making Sense of AI Ethics and Governance Investments. 414-415 - Maalvika Bhat:
Toward an Ethic of Synthetic Relationality: Identity, Intimacy, and Risk in AI-Mediated Roleplay Environments. 416-429 - Maalvika Bhat, Duri Long:
Emotional Plausibility vs. Emotional Truth: Designing Against Affective Misinformation in Conversational AI. 430-444 - Aditya Bhattacharya, Simone Stumpf, Katrien Verbert:
Importance of User Control in Data-Centric Steering for Healthcare Experts. 445-456 - Ruta Binkyte:
Interactional Fairness in LLM Multi-Agent Systems: An Evaluation Framework. 457-468 - Norman Bukingolts:
Mimetic AI Systems: Understanding and Regulating the Use of Generative Models for Impersonation. 469-485 - Zhongteng Cai, Mohammad Mahdi Khalili, Xueru Zhang:
Demographic-Agnostic Fairness Without Harm. 486-497 - Önder Celik, Marlene Kulla, Justyna Stypinska:
Trust Formation in Healthcare AI: An Exploration of Older Adults' Perspectives. 498-512 - Mahasweta Chakraborti, Bert Joseph Prestoza, Nicholas Vincent, Vladimir Filkov, Seth Frey:
Responsible AI in the OSS: Reconciling Innovation with Risk Assessment and Disclosure. 513-527 - Tatiana Chakravorti, Xinyu Wang, Pranav Narayanan Venkit, Sai Koneru, Kevin Munger, Sarah Rajtmajer:
Social Scientists on the Role of AI in Research. 528-540 - Christina Chance, Kai-Wei Chang:
Re-imagining Virtual Communities: Ethical Guidelines for Studying Black Twitter. 541-553 - Shreya Chappidi, Jennifer Cobbe, Chris Norval, Anjali Mazumder, Jatinder Singh:
Accountability Capture: How Record-Keeping to Support AI Transparency and Accountability (Re)shapes Algorithmic Oversight. 554-566 - Rex Chen, Stephanie Milani, Zhicheng Zhang, Norman Sadeh, Fei Fang:
Making Teams and Influencing Agents: Efficiently Coordinating Decision Trees for Interpretable Multi-Agent Reinforcement Learning. 567-578 - Valeriia Cherepanova, Chia-Jung Lee, Nil-Jana Akpinar, Riccardo Fogliato, Martin Bertran Lopez, Michael Kearns, James Zou:
Improving LLM Group Fairness on Tabular Data via In-Context Learning. 579-590 - Colleen V. Chien, Anna Zink, Irene Y. Chen:
Bridging Research Gaps Between Academic Research and Legal Investigations of Algorithmic Discrimination. 591-604 - Anna Seo Gyeong Choi, Hoon Choi:
Fairness of Automatic Speech Recognition: Looking Through a Philosophical Lens. 605-614 - Chee Hae Chung, Daniel S. Schiff:
AI and the Social Contract. 615-627 - Princessa Cintaqia, Arshia Arya, Elissa M. Redmiles, Deepak Kumar, Allison McDonald, Lucy Qin:
Stop the Nonconsensual Use of Nude Images in Research. 628-629 - Celia Cintas, Miriam Rateike, Erik Miehling, Elizabeth Daly, Skyler Speakman:
Localizing Persona Representations in LLMs. 630-642 - Sergio Cobos, Javier Luis Cánovas Izquierdo:
Ethical Classification of Non-Coding Contributions in Open-Source Projects via Large Language Models. 643-652 - Andrea Cremaschi, Dae-Jin Lee, Manuele Leonelli:
Will AI Take My Job? Evolving Perceptions of Automation and Labor Risk in Latin America. 653-664 - Jay L. Cunningham, Adinawa Adjagbodjou, Jeffrey Basoah, Jainaba Jawara, Kowe Kadoma, Aaleyah Lewis:
Toward Responsible ASR for African American English Speakers: A Scoping Review of Bias and Equity in Speech Technology. 665-678 - Jay L. Cunningham, Kevin Zhongyang Shao, Rock Yuren Pang, Nathanael Elias Mengist:
Advancing NLP Data Equity: Practitioner Responsibility and Accountability in NLP Data Practices. 679-691 - Abdoul Jalil Djiberou Mahamadou, Judy W. Gichoya, Artem A. Trotsyuk:
Algorithmic Fairness Beyond Legally Protected Groups and When Group Labels Are Unknown. 692-704 - Anindya Das Antar, Xun Huan, Nikola Banovic:
"Do Your Guardrails Even Guard?" Method for Evaluating Effectiveness of Moderation Guardrails in Aligning LLM Outputs with Expert User Expectations. 705-718 - Mahdi Dhaini, Tobias Müller, Roksoliana Rabets, Gjergji Kasneci:
Adoption of Explainable Natural Language Processing: Perspectives from Industry and Academia on Practices and Challenges. 719-730 - Mahdi Dhaini, Stephen Meisenbacher, Ege Erdogan, Florian Matthes, Gjergji Kasneci:
When Explainability Meets Privacy: An Investigation at the Intersection of Post-hoc Explainability and Differential Privacy in the Context of Natural Language Processing. 731-744 - Ruchira Dhar, Stephanie Brandl, Ninell Oldenburg, Anders Søgaard:
Beyond Technocratic XAI: The Who, What & How in Explanation Design. 745-759 - Linus W. Dietz, Arif Wider, Simon Harrer:
Automating Data Governance with Generative AI. 760-771 - Hyo Jin Do, Rachel Ostrand, Werner Geyer, Keerthiram Murugesan, Dennis Wei, Justin D. Weisz:
Highlight All the Phrases: Enhancing LLM Transparency Through Visual Factuality Indicators. 772-784 - Hyo Jin Do, Werner Geyer:
Hide or Highlight: Understanding the Impact of Factuality Expression on User Trust. 785-797 - Mengchen Dong, Levin Brinkmann, Omar Sherif, Shihan Wang, Xinyu Zhang, Jean-François Bonnefon, Iyad Rahwan:
Experimental Evidence That AI-Managed Workers Tolerate Lower Pay Without Demotivation. 798 - Jordan Duran, Samir Passi, Mihaela Vorvoreanu:
RAI Advocacy: Communicative Strategies for Advancing Responsible AI in Large Technology Companies. 799-811 - David Egea, Barproda Halder, Sanghamitra Dutta:
VISION: Robust and Interpretable Code Vulnerability Detection Leveraging Counterfactual Augmentation. 812-823 - El-Mahdi El-Mhamdi, Lê-Nguyên Hoang, Mariame Tighanimine:
A Case for Specialisation in Non-Human Entities. 824-837 - Petter Ericson, Rachele Carli, Jason Tucker, Virginia Dignum:
AI Policy for Whom? Reclaiming Governance from Capitalist Capture. 838-849 - Maria Eriksson, Erasmo Purificato, Arman Noroozian, João Vinagre, Guillaume Chaslot, Emilia Gómez, David Fernández Llorca:
Can We Trust AI Benchmarks? An Interdisciplinary Review of Current Issues in AI Evaluation. 850-864 - Carson Ezell, Xavier Roberts-Gaal, Alan Chan:
Incident Analysis for AI Agents. 865-878 - Miriam Fahimi, Laura State, Atoosa Kasirzadeh:
From Explaining to Diagnosing: A Justice-Oriented Framework of Explainable AI for Bias Detection. 879-892 - Aaron Fanous, Jacob Goldberg, Ank A. Agarwal, Joanna Lin, Anson Zhou, Sonnet Xu, Vasiliki Bikia, Roxana Daneshjou, Sanmi Koyejo:
SycEval: Evaluating LLM Sycophancy. 893-900 - Laura Fearnley, Ibrahim Habli:
Concept Creep in Safe Artificial Intelligence. 901-912 - Andrea Ferrario, Alberto Termine, Alessandro Facchini:
Social Misattributions in Conversations with Large Language Models. 913-925 - Raphael Fischer, Magdalena Wischnewski, Alexander van der Staay, Katharina Poitz, Christian Janiesch, Thomas Liebig:
Bridging the Communication Gap: Evaluating AI Labeling Practices for Trustworthy AI Development. 926-939 - Simon W. S. Fischer, Hanna Schraffenberger, Serge Thill, Pim Haselager:
A Taxonomy of Questions for Critical Reflection in Machine-Assisted Decision-Making. 940-954 - Santiago Flórez Sánchez:
LLM-based Simulations of Human Behavior in Psychological Research. 955-962 - Keren Fuentes, Mimee Xu, Irene Y. Chen:
Dataset-to-Dataset Evaluation Before (and Without) Sharing Data. 963-977 - Santhosh G. S, Akshay Govind S, Gokul S. Krishnan, Balaraman Ravindran, Sriraam Natarajan:
IndiCASA: A Dataset and Bias Evaluation Framework for LLMs Using Contrastive Embedding Similarity in the Indian Context. 978-989 - Ana Gagua, Haiko van der Voort, Nihit Goyal, Alexander Verbraeck:
Responsible AI Governance in the Public Sector: Explaining Contextual Dynamics Through a Realist Synthesis Review. 990-1002
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