Poster Session #1
| 14 | Luca Nannini | From Categorical to Contextual: Interpreting High-Risk Classification for Profiling-Based AI Recommender Systems in the EU AI Act |
| 33 | Lucas Langlade, Julien Ferry, Gabriel Laberge and Thibaut Vidal | Fairness and Sparsity within Rashomon sets: Enumeration-Free Exploration and Characterization |
| 37 | Sanjana Gautam, Mohit Chandra, Ankolika De, Tatiana Chakravorti, Girik Malik and Munmun De Choudhury | Towards Experience-Centered AI: A Framework for Integrating Lived Experience in Design and Development |
| 74 | Keren Fuentes, Mimee Xu and Irene Y. Chen | Dataset-to-Dataset Evaluation Before (and Without) Sharing Data |
| 97 | Tanusree Sharma, Yujin Potter, Zachary Kilhoffer, Yun Huang, Dawn Song and Yang Wang | Aligning AI with Public Values: Deliberation and Decision-Making for Governing Multimodal LLMs in Political Video Analysis |
| 103 | Wonduk Seo, Zonghao Yuan and Yi Bu | ValuesRAG: Enhancing Cultural Alignment Through Retrieval-Augmented Contextual Learning |
| 113 | Sung Hyun Kwon, Jessica Clark, Il-Horn Hann and Jui Ramaprasad | Labeling in Their Shoes: Improving Text Annotation with Cognitive Empathy Priming |
| 116 | Jennifer Haase, Paul H. P. Hanel and Sebastian Pokutta | S-DAT: A Multilingual, GenAI-Driven Framework for Automated Divergent Thinking Assessment |
| 119 | Celia Cintas, Miriam Rateike, Erik Miehling, Elizabeth Daly and Skyler Speakman | Localizing Persona Representations in LLMs |
| 128 | Ke Zhou, Marios Constantinides and Daniele Quercia | Should LLMs be WEIRD? Exploring WEIRDness and Human Rights in Large Language Models |
| 130 | Maalvika Bhat and Duri Long | Emotional Plausibility vs. Emotional Truth: Designing Against Affective Misinformation in Conversational AI |
| 132 | Valeriia Cherepanova, Chia-Jung Lee, Nil-Jana Akpinar, Riccardo Fogliato, Martin Bertran Lopez, Michael Kearns and James Zou | Improving LLM Group Fairness on Tabular Data via In-Context Learning |
| 137 | Bo-Yi Liu, Zhi-Xuan Liu, Kuan Lun Chen, Shih-Yu Tsai, Jie Gao and Hao-Tsung Yang | Understanding Endogenous Data Drift in Adaptive Models with Recourse-Seeking Users |
| 154 | Pranav Khadpe, Kimi Wenzel, George Loewenstein and Geoff Kaufman | Explaining the Reputational Risks of AI-Mediated Communication: Messages labeled as AI-assisted are viewed as less diagnostic of the sender’s moral character |
| 178 | Aditya Bhattacharya, Simone Stumpf and Katrien Verbert | Importance of User Control in Data-Centric Steering for Healthcare Experts |
| 187 | William Agnew, Julia Barnett, Annie Chu, Rachel Hong, Michael Feffer, Robin Netzorg, Harry Jiang, Ezra Awumey and Sauvik Das | Sound Check: Auditing Recent Audio Dataset Practices |
| 190 | Hyo Jin Do, Rachel Ostrand, Werner Geyer, Keerthiram Murugesan, Dennis Wei and Justin Weisz | Highlight All the Phrases: Enhancing LLM Transparency through Visual Factuality Indicators |
| 191 | Xubo Lin, Mingze Wang, Grace Hui Yang and Daniel Chen | Reward-on-the-Line: A Novel Offline Reinforcement Learning Method for Building Legal Conversational Agents |
| 192 | Shreya Chappidi, Jennifer Cobbe, Chris Norval, Anjali Mazumder and Jatinder Singh | Accountability Capture: How Record-Keeping to Support AI Transparency and Accountability (Re)shapes Algorithmic Oversight |
| 196 | Brinnae Bent | The Term ‘Agent’ Has Been Diluted Beyond Utility and Requires Redefinition |
| 198 | Ayana Hussain, Patrick Zhao and Nicholas Vincent | An Audit and Analysis of LLM-Assisted Health Misinformation Jailbreaks Against LLMs |
| 200 | Antoni Lorente | Value Creation and Value Capture in AI: A Triple Helix Model |
| 210 | Srikanth Avasarala, Serena Wang and Juba Ziani | The Disparate Effects of Partial Information in Bayesian Strategic Learning |
| 211 | Uvini Balasuriya Mudiyanselage, Bharat Jayprakash, Kookjin Lee and K. Hazel Kwon | Disaggregated Health Data in LLMs: Evaluating Data Equity in the Context of Asian American Representation |
| 216 | Pengxi Liu, Yi Shen, Matthew M. Engelhard, Benjamin A. Goldstein, Michael J. Pencina, Nicoleta J. Economou-Zavlanos and Michael M. Zavlanos | FairPOT: Balancing AUC Performance and Fairness with Proportional Optimal Transport |
| 219 | Tashmia Sabera | Beyond “Fairness”: Rethinking the use of Algorithmic Predictions in Criminal Justice |
| 220 | Tin Trung Nguyen, Jiannan Xu, Zora Che, Phuong-Anh Nguyen-Le, Rushil Dandamudi, Donald Braman, Furong Huang, Hal Daumé and Zubin Jelveh | Effort-aware Fairness: Incorporating a Philosophy-informed, Human-centered Notion of Effort into Algorithmic Fairness Metrics |
| 226 | Oriane Pierrès, Alireza Darvishy and Markus Christen | Perceived Risks and Benefits of Disclosing ADHD to AI-based Educational Technologies: Semi-structured Interviews |
| 228 | Mengchen Dong, Levin Brinkmann, Omar Sherif, Shihan Wang, Xinyu Zhang, Jean-François Bonnefon and Iyad Rahwan | Experimental evidence that AI-managed workers tolerate lower pay without demotivation |
| 231 | Byeong-Je Kim, Seunghoo Jeong, Bong-Kyung Cho and Ji-Bum Chung | AI Governance in the Context of the EU AI Act |
| 233 | Katelyn Morrison, Arpit Mathur, Aidan Bradshaw, Tom Wartmann, Steven Lundi, Afrooz Zandifar, Weichang Dai, Kayhan Batmanghelich, Motahhare Eslami and Adam Perer | A Human-Centered Approach to Identifying Promises, Risks, & Challenges of Text-to-Image Generative AI in Radiology |
| 243 | Garfield Benjamin | Centring the margins: mapping AI systems as systems of power |
| 246 | Saquib Ahmed, Tejo Gayathri Busireddy and Sanorita Dey | Enhancing Image Comprehension: The Impact of AI-Generated Explanations on Perception of Altered and Synthetic Media |
| 249 | Ruchira Dhar, Stephanie Brandl, Ninell Oldenburg and Anders Søgaard | Beyond Technocratic XAI: The Who, What & How in Explanation Design |
| 253 | Styliani Kleanthous and Maria Kasinidou | Legal Affiliates’ Views on Algorithmic Decision Making |
| 258 | Abdalwahab Almajed, Maryam Tabar and Peyman Najafirad | A Comprehensive Evaluation of the Sensitivity of Density-Ratio Estimation Based Fairness Measurement in Regression |
| 260 | Jose M. Alvarez and Salvatore Ruggieri | Toward A Causal Framework for Modeling Perception |
| 262 | Maria Eriksson, Erasmo Purificato, Arman Noroozian, João Vinagre, Guillaume Chaslot, Emilia Gomez and David Fernandez-Llorca | Can We Trust AI Benchmarks? An Interdisciplinary Review of Current Issues in AI Evaluation |
| 267 | Oriane Peter and Kate Devlin | Decentralising LLM Alignment: A Case for Context, Pluralism, and Participation |
| 272 | Ding Wang, Mark Díaz, Charvi Rastogi, Aida Davani Davani, Vinodkumar Prabhakaran, Pushkar Mishra, Roma Patel, Alicia Parrish, Zoe Ashwood, Michela Paganini, Tian Huey Teh, Verena Rieser and Lora Aroyo | “Just a strange pic”: Evaluating ‘safety’ in GenAI Image safety annotation tasks from diverse annotators’ perspectives |
| 273 | Raphael Fischer, Magdalena Wischnewski, Alexander van der Staay, Katharina Poitz, Christian Janiesch and Thomas Liebig | Bridging the Communication Gap: Evaluating AI Labeling Practices for Trustworthy AI Development |
| 278 | Ha-Chi Tran | Who Foots the Bill?: State-Backed No-Fault Compensation for Experimental Harms in Artificial Intelligence Regulatory Sandboxes |
| 280 | Santiago Flórez Sánchez | LLM-based Simulations of Human Behavior in Psychological Research |
| 287 | Gisela Reyes-Cruz, Elvira Perez Vallejos, Pepita Barnard, Eike Schneiders, Marisela Tachiquin, Dominic Price, Damian Eke, Liz Dowthwaite, Aislinn Gomez Bergin, Virginia Portillo and Joel Fischer | Unravelling Responsible AI: An Umbrella Review |
| 291 | Lujain Ibrahim, Saffron Huang, Lama Ahmad, Umang Bhatt and Markus Anderljung | Towards Interactive Evaluations for Interaction Harms in Human-AI Systems |
| 509 | Carson Ezell, Xavier Roberts-Gaal and Alan Chan | Incident Analysis for AI Agents |
| 569 | Eugene Kim, Vaibhav Balloli, Berelian Karimian, Elizabeth Bondi-Kelly and Benjamin Fish | RelAItionship Building: Analyzing Recruitment Strategies for Participatory AI |
| 759 | Jen Semler | Moral Agents Unlike Us |
| 843 | Lindsey A. Gailmard, Drew Spence, Christie Lawrence and Daniel E. Ho | Known Unknowns and Unknown Unknowns: Designing a Scalable Adverse Event Reporting System for AI |
Poster Session #1 – Students
| 59 | Julia De Miguel Velázquez | Beyond Templates: Understanding and Addressing Human-AI Interaction Harms through Practitioner Assumptions |
| 7 | Jan Batzner | Detecting, Classifying, and Mitigating Undesired Behaviors in Pretrained Large Language Models |
| 53 | Hamayoon Behmanush | Supporting Marginalized Learners with GenAI |
| 8 | Hesam Nourooz Pour | Machine Legibility and Epistemic Governance in Malaysia’s Smart Cities: A Postcolonial Analysis of Algorithmic Knowledge, Identity, and State Power |
| 25 | Tessina Grant Moloney | AI Ethics in Cyborg Anthropology: Examining AI-Driven Job Displacement Among Women and Marginalized Groups |
| 42 | Bruno Fonseca | Towards Responsible AI Governance in the Brazilian Judiciary |
| 44 | Daphne Wong-A-Foe | Between Code and Creed: Islamic Ethical In-Betweenness on AI in Indonesia |
| 56 | Sonia Fereidooni | A Survey of Large Language Model Use and its Technical Limitations in Military Systems through a Decolonial Lens |
| 72 | Teresa Sides | Resistance to Change as a Diagnostic Insight: An Interdisciplinary Examination of Stakeholder Opposition to AI in Primary Care |
| 73 | Marc Elliott | Deploying AI in Uncertain Environments: A Technical Limitation or a Human Characteristic? |
Poster Session #2
| 10 | Keziah Naggita and Julienne LaChance | A case for data valuation transparency via DValCards |
| 15 | Luca Nannini | When Less Regulation Means More Complexity: The EU AI Liability Directive Withdrawal and its Impact on European Technological Competitiveness |
| 309 | Esma Aïmeur, Gilles Brassard and Dorsaf Sallami | Too Focused on Accuracy to Notice the Fallout: Towards Socially Responsible Fake News Detection |
| 312 | Jadie Adams, Brian Hu, Emily Veenhuis, David Joy, Bharadwaj Ravichandran, Aaron Bray, Anthony Hoogs and Arslan Basharat | Steerable Pluralism: Pluralistic Alignment via Few-Shot Comparative Regression |
| 316 | Tatiana Chakravorti, Xinyu Wang, Pranav Narayanan Venkit, Sai Koneru, Kevin Munger and Sarah Rajtmajer | Social Scientists on the Role of AI in Research |
| 318 | Shai Ben-David, Pascale Gourdeau, Tosca Lechner and Ruth Urner | What’s Individual about Individual Fairness? |
| 320 | Julia Barnett, Kimon Kieslich, Jasmine Sinchai and Nicholas Diakopoulos | Scenarios in Computing Research: A Systematic Review of the Use of Scenario Methods for Exploring the Future of Computing Technologies in Society |
| 327 | Pegah Nokhiz, Aravinda Kanchana Ruwanpathirana and Helen Nissenbaum | Rethinking Optimization: A Systems-Based Approach to Social Externalities |
| 328 | Taro Higuchi and Einoshin Suzuki | Complete Categorization of Instinct-Exploiting Data-Explanations and their Generation with Large-Language Models |
| 329 | Tianqi Kou, Dana Calacci and Cindy Lin | Dead Zone of Accountability: Why Social Claims in Machine Learning Research Should Be Articulated and Defended |
| 331 | Heesoo Jang | Exporting Autonomy, Importing Dependency: The Geopolitical Work of “Sovereign AI” |
| 332 | Mallak Alkhathlan, Hilson Shrestha, Lane Harrison and Elke Rundensteiner | Exploring “Just Noticeable” Group Fairness in Rankings |
| 335 | Evani Radiya-Dixit and Angèle Christin | Same Stereotypes, Different Term? Understanding the “Global South” in AI Ethics |
| 336 | Rex Chen, Stephanie Milani, Zhicheng Zhang, Norman Sadeh and Fei Fang | Making Teams and Influencing Agents: Efficiently Coordinating Decision Trees for Interpretable Multi-Agent Reinforcement Learning |
| 343 | Mowafak Allaham, Kimon Kieslich and Nicholas Diakopoulos | Informing AI Risk Assessment with News Media: Analyzing National and Political Variation in the Coverage of AI Risks |
| 344 | Jacqueline Kernahan, Richard Bartels, Mark de Reuver, Daniel Oberski and Roel Dobbe | Burying The Lead: Adjusting Goals to Manage Functional Limitations of AI Tools in Healthcare |
| 346 | Sourojit Ghosh and Kyra Wilson | Bias is a Math Problem, AI Bias is a Technical Problem: 10-year Literature Review of AI/LLM Bias Research Reveals Narrow [Gender-Centric] Conceptions of `Bias’, and Academia-Industry Gap |
| 348 | Pratheeksha Nair, Gabriel Lefebvre, Maryam Molamohammadi, Sophia Garrel and Reihaneh Rabbany | Reframing AI-for-Good: Radical Questioning in AI for Human Trafficking Interventions |
| 349 | Caroline M. Johnston, Olga Koumoundouros, Angel Hsing-Chi Hwang, Laura Onasch-Vera, Eric Rice and Phebe Vayanos | Toward AI Matching Policies in Homeless Services: A Qualitative Study with Policymakers |
| 354 | Apurva Kulkarni and Chandrashekar Ramanathan | Guardrail Framework for Embedding Ethical Safeguards in Software Applications for Responsible AI |
| 361 | Prakhar Ganesh, Afaf Taik and Golnoosh Farnadi | Systemizing Multiplicity: The Curious Case of Arbitrariness in Machine Learning |
| 362 | Laura Lucaj, Alex Loosley, Håkan Jonsson, Urs Gasser and Patrick van der Smagt | TechOps: Technical Documentation Templates for the AI Act |
| 365 | Andrea Cremaschi, Dae-Jin Lee and Manuele Leonelli | Will AI Take My Job? Evolving Perceptions of Automation and Labor Risk in Latin America |
| 374 | David Doron Yaacov | Normative Moral Pluralism for AI: A Framework for Deliberation in Complex Moral Contexts |
| 377 | Jakob Kappenberger, Clara Strasser Ceballos, Frederic Gerdon, Daria Szafran, Florian Rupp, Kai Eckert, Heiner Stuckenschmidt, Ruben Bach, Frauke Kreuter and Christoph Kern | Unintended Impacts of Automation for Integration? Simulating Integration Outcomes of Algorithm-Based Refugee Allocation in Germany |
| 381 | Maarten Wilders, Íñigo Martínez de Rituerto de Troya and Roel Dobbe | The Socratic Dialogue as a Method for Virtue Ethics in AI: A Case Study |
| 386 | Aditya Gulati, Moreno D’Incà, Nicu Sebe, Bruno Lepri and Nuria Oliver | Beauty and the Bias: Exploring the Impact of Attractiveness on Multimodal Large Language Models |
| 393 | Spencer Hey, Julie Walsh and Eni Mustafaraj | Comparing Human and LLM Ethical Analyses: A Case Study in Computational Social Science Research |
| 395 | Clara Strasser Ceballos, Marcus Novotny and Christoph Kern | Beyond Proxy Variables: Extending Refugee Allocation Algorithms for Equitable Predictions |
| 396 | Önder Celik, Marlene Kulla and Justyna Stypinska | Trust Formation in Healthcare AI: An Exploration of Older Adults’ Perspectives |
| 401 | Rebecca Yu, Valerie Chen, Ameet Talwalkar and Hoda Heidari | Why Do Decision Makers (Not) Use AI? A Cross-Domain Analysis of Factors Impacting AI Adoption |
| 402 | Asutosh Hota and Jussi Jokinen | NomicLaw: Emergent Trust and Strategic Argumentation in LLMs during Collaborative Law-Making |
| 405 | Liv Ziegfeld, Esther Kox, Ivana Akrum and Marlijn Heijnen | Aligning AI Systems with Human Values: A Method for Identifying and Specifying Values |
| 409 | Sophia Worth, Georgia Panagiotidou and Elena Simperl | (Don’t) Tell Me What To Do: A Retrospective Study on the Use of a Data Ethics Framework |
| 416 | Jay Cunningham, Jainaba Jawara, Jeffrey Basoah, Adinawa Adjagbodjou, Kowe Kadoma and Aaleyah Lewis | Toward Responsible ASR for African American English Speakers: A Scoping Review of Bias and Equity in Speech Technology |
| 417 | Jay Cunningham, Kevin Shao, Rock Yuren Pang and Nat Mengist | Advancing NLP Data Equity: Practitioner Responsibility and Accountability in NLP Data Practices |
| 418 | Deborah Dormah Kanubala and Isabel Valera | On the Misalignment Between Legal Notions and Statistical Metrics of Intersectional Fairness |
| 423 | Flore Vancompernolle Vromman, Sylvain Courtain, Pierre Leleux and Marco Saerens | Fairness-Aware Post-Processing in Supervised Classification: L1/L2 Norm and Optimal Swapping Methods |
| 428 | Rida Qadri, Mark Díaz, Ding Wang and Michael Madaio | The Case for “Thick Evaluations” of Cultural Representation in AI |
| 432 | Rachel Kim, Blaine Kuehnert, Seth Lazar, Ranjit Singh and Hoda Heidari | The AI Power Disparity Index: Toward a Compound Measure of AI Actors’ Power to Shape the AI Ecosystem |
| 433 | Saad Alqithami | Adaptive Accountability in Networked Multi-Agent Systems |
| 434 | Hyo Jin Do and Werner Geyer | Hide or Highlight: Understanding the Impact of Factuality Expression on User Trust |
| 439 | Prachi Bagave, Marcus Westberg, Marijn Janssen and Aaron Yi Ding | Accountability Framework for Healthcare AI Systems: Towards Joint Accountability in Decision Making |
| 442 | Simon Fischer, Hanna Schraffenberger, Serge Thill and Pim Haselager | A Taxonomy of Questions for Critical Reflection in Machine-Assisted Decision-Making |
| 444 | Minja Axelsson, Jiaee Cheong, Rune Nyrup and Hatice Gunes | Who Owns The Robot?: Four Ethical and Socio-technical Questions about Wellbeing Robots in the Real World through Community Engagement |
| 446 | Chris Schmitz and Joanna Bryson | A Moral Agency Framework for Legitimate Integration of AI in Bureaucracies |
| 457 | Mackenzie Jorgensen, Kendall Brogle, Katherine Collins, Lujain Ibrahim, Arina Shah, Petra Ivanovic, Noah Broestl, Gabriel Piles, Paul Dongha, Hatim Abdulhussein, Adrian Weller, Jillian Powers and Umang Bhatt | Documenting Deployment with Fabric: A Repository of Real-World AI Systems and Governance Mechanisms |
| 458 | Atmadeep Ghoshal, Martim Brandao, Ruba Abu-Salma and Sanjay Modgil | Embodied AI at the Margins: Postcolonial Ethics for Intelligent Robotic Systems |
| 460 | Bastien Zimmermann and Matthieu Boussard | Needle in a Patched Haystack:\\ Evaluating Saliency Maps for Vision LLMs. |
| 474 | Tasfia Mashiat, Patrick Fowler and Sanmay Das | Who pays the RENT? Implications of Spatial Inequality for Prediction-Based Allocation Policies |
Poster Session #2 – Student Papers
| 37 | Disa Sariola | Auditing and Validating Fairness and Ethics in Machine Learning Systems |
| 43 | Julia Barnett | Lay-stakeholder centric sociotechnical mechanisms for addressing the impacts of generative AI |
| 49 | Mina Arzaghi | Advancing Fairness in Generative AI through Intrinsic and Extrinsic Bias Evaluation and Mitigation |
| 75 | Yael Moros Daval | How Can Large Language Models Be More Reliable? |
| 23 | Jared Katzman | Governing AI Proactively: Cooperative Models of Anticipation and Accountability |
| 9 | Tatiana Chakravorti | Human Centered AI for Research Ethics and Transparency |
| 21 | Denis Chiriac | The Dilemmas of Moral Autonomy in the Transfer of Human Consciousness to AI |
| 58 | Anna-Kaisa Kaila | Critical explorations on the socio-ethical implications of Creative AI for artists |
| 70 | Christoffer Koch Andersen | Binary Optics: Colonial Classification of Trans Lives in Algorithmic Technologies |
| 14 | Jinu K Varghese and Padma Rani | Platform Vernaculars: How AI Image Generators Create New Forms of Visual Bias |
| 20 | Siddharth Jaiswal | Fairer Datasets for Advancing Responsible AI Systems |
Poster Session #3
| 302 | Agrima Seth, Monojit Choudhary, Sunayana Sitaram, Kentaro Toyama, Aditya Vashistha and Kalika Bali | How Deep Is Representational Bias in LLMs? The Cases of Caste and Religion |
| 308 | Kimberly Le Truong, Annette Zimmermann and Hoda Heidari | Toward Valid Measurement Of (Un)fairness For Generative AI: A Proposal For Systematization Through The Lens Of Fair Equality of Chances |
| 345 | Jordan Duran, Samir Passi and Mihaela Vorvoreanu | RAI Advocacy: Communicative Strategies for Advancing Responsible AI in Large Technology Companies |
| 476 | Ana Paula Moritz and Alayna Kennedy | Operationalizing critical data approaches in fraud detection in Latin America |
| 477 | Laura Fearnley and Ibrahim Habli | Concept Creep in Safe Artificial Intelligence |
| 481 | El-Mahdi El-Mhamdi, Lê-Nguyên Hoang and Mariame Tighanimine | A case for specialisation in non-human entities |
| 484 | Jan Batzner, Volker Stocker, Stefan Schmid and Gjergji Kasneci | GermanPartiesQA: Benchmarking Commercial Large Language Models and AI Companions for Political Alignment and Sycophancy |
| 490 | Lynn Vonderhaar, Kayla Taylor, Jennifer Wojton and Omar Ochoa | Exclusive Flux: A Review of Flux’s Generation of LGBTQ+ Couples |
| 491 | Vyoma Raman, Judy Hanwen Shen, Andy K. Zhang, Lindsey Gailmard, Rishi Bommasani, Angelina Wang and Daniel Ho | Deconstructing Provider and Deployer Obligations for Fairness in General-Purpose AI |
| 500 | Maaike Harbers, Sophie Horsman, Pascal Wiggers, Huib Aldewereld, Marcio Fuckner, Coert Van Gemeren, Oumaima Hajri, Floor Schukking and Nathalie Stembert | Responsible AI in Media Organizations: Four Case Studies Implementing Ethical Tools in Practice |
| 502 | Dunstan Allison-Hope, Patrick Gage Kelley, Reena Jana, Angela McKay and Allison Woodruff | Ten Insights From Other Domains That Inform Responsible AI Frameworks |
| 505 | Sachit Mahajan | Mapping Moral Reasoning in LLMs: A Multi-Dimensional Analysis of Safety Principle Conflicts |
| 510 | Aaron Fanous, Jacob Goldberg, Ank Agrawal, Joanna Lin, Anson Zhou, Sonnet Xu, Vasiliki Bikia, Roxana Daneshjou and Sanmi Koyejo | SycEval: Evaluating LLM Sycophancy |
| 514 | Kiana Jafari Meimandi, Anka Reuel, Gabriela Aranguiz-Dias, Hatim Rahama, Ala-Eddine Ayadi, Xavier Boullier, Jérémy Verdo, Louis Montanie and Mykel Kochenderfer | From Principles to Practice: The ARGO Framework for Responsible AI Governance in Decentralized Organizations |
| 519 | Chiara Ullstein, Simon Jarvers, Michel Hohendanner, Orestis Papakyriakopoulos and Jens Grossklags | Participatory AI and the EU AI Act |
| 527 | Kola Ayonrinde and Louis Jaburi | A Mathematical Philosophy of Explanations in Mechanistic Interpretability |
| 530 | Stephanie Milani, Zhicheng Zhang, Nicholay Topin, Lirong Xia and Fei Fang | Aligning Agent Policies with Preferences: Human-Centered Interpretable Reinforcement Learning |
| 535 | Simon Grange, Safa Alameri, Pearl Rwauya and Rami Bahsoon | AI Managing Agent-Based Healthcare Processes |
| 537 | Christina Chance and Kai-Wei Chang | Re-imagining Virtual Communities: Ethical Guidelines for Studying Black Twitter |
| 541 | Rauno Arike, Elizabeth Donoway, Henning Bartsch and Marius Hobbhahn | Evaluating Goal Drift in Language Model Agents |
| 548 | Pınar Barlas | A Critical Look at a Critical Care Dataset: MIMIC-IV’s Construction, Contents, & Consequences |
| 551 | Hellina Hailu Nigatu, Nuredin Ali Abdelkadir, Fiker Tewelde, Stevie Chancellor and Daricia Wilkinson | Into the Void: Understanding Online Health Information in Low-Web Data Languages |
| 554 | Alyssa Hanson, Gordon Briggs, Ruchen Wen, Yifei Zhu and Tom Williams | “Stealing is wrong… and too hard to pull off successfully”: Inclusion of Normative versus Capacity Information in Robot Command Rejection |
| 557 | Mark Riedl and Deven Desai | AI Agents and the Law |
| 558 | Bruno Scarone, Alfredo Viola, Renée J. Miller and Ricardo Baeza-Yates | A Principled Approach for Data Bias Mitigation |
| 566 | Afaf Taik, Khaoula Chehbouni and Golnoosh Farnadi | Fairness in Federated Learning : Fairness for whom? |
| 588 | Steven Vethman, Jildau Bouwman and Cor Veenman | Visualizing Data Representation for Responsible Decisions about AI |
| 590 | Jennifer King, Kevin Klyman, Emily Capstick, Tiffany Saade and Victoria Hsieh | User Privacy and Large Language Models: An Analysis of Frontier Labs’ Privacy Policies |
| 594 | Mayesha Tasnim, Paul Verhagen, Tobias Blanke, Erman Acar and Sennay Ghebreab | Modeling Strategic Risk in School Choice: A Case for Transparent Design |
| 596 | Marianna Ganapini, Francesca Rossi, Brian Gohering, Nich Berente and Marialen Bevilacqua | Making Sense of AI Ethics and Governance Investments |
| 602 | Chiman Salavati, Shannon Song, Scott A. Hale, Roberto E. Montenegro, Shiri Dori-Hacohen and Fabricio Murai | AI-Powered Detection of Inappropriate Language in Medical School Curricula |
| 606 | Edward Raff, Michel Benaroch and Andrew Farris | You Don’t Need Robust Machine Learning to Manage Adversarial Attack Risks |
| 609 | Yulu Pi, Cagatay Turkay and Daniel Bogiatzis-Gibbons | Interactive AI and Human Behavior: Challenges and Pathways for AI Governance |
| 613 | Gaurab Pokharel, Shafkat Farabi, Patrick J. Fowler and Sanmay Das | Street-Level AI: Are Large Language Models Ready for Real-World Judgments? |
| 627 | Jennifer Wang, Kayla Huang, Kevin Klyman and Rishi Bommasani | Do AI Companies Make Good on Voluntary Commitments to the White House? |
| 649 | Pak-Hang Wong and Gernot Rieder | After Harm: A Plea for Moral Repair after Algorithms Have Failed |
| 652 | Colleen Chien, Anna Zink and Irene Chen | Bridging Research Gaps Between Academic Research and Legal Investigations of Algorithmic Discrimination |
| 660 | Bryce Anderson, Riley Galpin and Tom S Juzek | Model Misalignment and Language Change: Traces of AI-Associated Language in Unscripted Spoken English |
| 664 | Zhongteng Cai, Mohammad Mahdi Khalili and Xueru Zhang | Demographic-Agnostic Fairness without Harm |
| 667 | David Egea, Barproda Halder and Sanghamitra Dutta | VISION: Robust and Interpretable Code Vulnerability Detection Leveraging Counterfactual Augmentation |
| 673 | Nicolás Palomo Hernández | Towards automating deliberation? The idea of deliberative democracy embedded in Google’s Habermas Machine. |
| 682 | Farah Atif, Nursultan Askarbekuly, Kareem Darwish and Monojit Choudhury | Sacred or Synthetic? Evaluating LLM Reliability and Abstention for Religious Questions |
| 686 | Ebtesam Al Haque, Gabriella Thompson, Angela D. R. Smith and Brittany Johnson | An Investigation into Black and Brown Communities’ Engagement with Data & Technology |
| 695 | Iqra Aslam, Donal Khosrowi and Rahul Nagshi | Rethinking Machine Unlearning through Ethics and Epistemology |
| 699 | Nicole Smith-Vaniz, Harper Lyon, Lorraine Steigner, Ben Armstrong and Nicholas Mattei | Investigating Political and Demographic Associations in Large Language Models Through Moral Foundations Theory |
| 717 | Aspen Hopkins, Sarah Cen, Isabella Struckman, Andrew Ilyas, Luis Videgaray and Aleksander Madry | AI Supply Chains: An Emerging Ecosystem of AI Actors, Products, and Services |
| 734 | Sijia Xiao, Haodi Zou, Alice Qian Zhang, Deepak Kumar, Hong Shen, Jason Hong and Motahhare Eslami | What Comes After Harm? Mapping Reparative Actions in AI through Justice Frameworks |
| 735 | Sara Altamirano, Arjan Vreeken and Sennay Ghebreab | Machine Learning and Public Health: Identifying and Mitigating Algorithmic Bias through a Systematic Review |
| 750 | Sónia Teixeira, Atia Cortés, Dilhan Thilakarathne, Gianmarco Gori, Marco Minici, Monowar Bhuyan, Nina Khairova, Tosin Adewumi, Devvjiit Bhuyan, Jack O’Keefe, Carmela Comito, João Gama and Virginia Dignum | A Multidimensional Approach to Ethical AI Auditing |
Poster Session #3 – Student Papers
| 34 | Paolo Bova | On Forecasting Lags in AI Risk Evaluation |
| 61 | Salima Jaoua | Fairness in Social Media Platforms: Modeling Behavior and Designing Interventions |
| 64 | Prakhar Ganesh | From Model Multiplicity to Prompt Multiplicity: Emerging Arbitrariness Concerns in the Age of Generative AI |
| 13 | Oludolapo Makinde | Leveraging AI and ESG to Combat Corporate Corruption: An Integrated Framework |
| 46 | Gaurab Pokharel | Beyond Automation: Understanding Fairness, Ethics, and Human Discretion in AI-driven Societal Decisions |
| 71 | Abiola Azeez | Regulatory Policies on Ethics Evaluations for Large-Scale AI Systems |
| 60 | Neha Gupta | An Economic Lens on Ethics Evaluations and Regulation for Large-Scale Artificial Intelligence Systems |
| 35 | Jingyu Hu | Extended Abstract: Building Preference Aware Trustworthy AI Through Fairness and Interpretability |
| 36 | Eura Nofshin | Human Models for Planning Behavioral Interventions with Reinforcement Learning |
| 41 | Jeffrey Keithley | The Design and Analysis of Algorithmic Vaccine Allocation Frameworks |
| 39 | Suvradip Maitra | Voice AI and Hermeneutical Injustice at the Border |
Poster Session #4
| 80 | Ben Gansky | The Politics of AI Systems are Inextricable from Their Supply Chains: Public Values Versus the Digital Political Economy |
| 212 | Farhana Shahid, Mona Elswah and Aditya Vashistha | Think Outside the Data: Colonial Biases and Systemic Issues in Automated Moderation Pipelines for Low-Resource Languages |
| 461 | Miriam Fahimi, Laura State and Atoosa Kasirzadeh | From explaining to diagnosing: a justice-oriented framework of explainable AI for bias detection |
| 736 | Sergio Cobos and Javier Luis Canovas Izquierdo | Ethical Classification of Non-Coding Contributions in Open-Source Projects via Large Language Models |
| 738 | Norman Bukingolts | Mimetic AI Systems: Understanding and Regulating the Use of Generative Models for Impersonation |
| 747 | Linus W. Dietz, Arif Wider and Simon Harrer | Automating Data Governance with Generative AI |
| 755 | Pooja S. B. Rao, Sanja Šćepanović, Dinesh Babu Jayagopi, Mauro Cherubini and Daniele Quercia | Who Envisions Real AI Risks? A Comparison of Risks Envisioned by AI Developers and Researchers with Harms Recorded in the News |
| 756 | Ana Gagua, Haiko van der Voort, Nihit Goyal and Alexander Verbraeck | Responsible AI Governance in the Public Sector: Explaining Contextual Dynamics through a Realist Synthesis Review |
| 760 | Nick Oh, Giorgos Vrakas, Siân Brooke, Sasha Morineire and Toju Duke | p-ETLp: A Privacy-by-Design Data Pipeline Framework for Responsible Social Media Data Practices |
| 762 | Rose E. Guingrich and Michael S. A. Graziano | A Longitudinal Randomized Control Study of Companion Chatbot Use: Anthropomorphism and Its Mediating Role on Social Impacts |
| 763 | Alejandro Peña Almansa, Julian Fierrez Aguilar, Aythami Morales Moreno, Gonzalo Mancera, Miguel Lopez-Duran and Ruben Tolosana | Addressing Bias in LLMs: Strategies and Application to Fair AI-based Recruitment |
| 764 | Joanna Wiaterek and Jared Perlo | AI Safety and Security Enable Innovation in Emerging Economies |
| 767 | Mahdi Dhaini, Tobias Müller, Roksoliana Rabets and Gjergji Kasneci | Adoption of Explainable Natural Language Processing: Perspectives from Industry and Academia on Practices and Challenges |
| 768 | Dawood Wasif, Dian Chen, Sindhuja Madabushi, Nithin Alluru, Terrence Moore and Jin-Hee Cho | Empirical Analysis of Privacy-Fairness-Accuracy Trade-offs in Federated Learning: A Step Towards Responsible AI |
| 769 | Mahdi Dhaini, Stephen Meisenbacher, Ege Erdogan, Florian Matthes and 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 |
| 775 | Sophie Morosoli, Emma van der Goot, Valeria Resendez, Claes de Vreese and Natali Helberger | The Transparency Dilemma: An Experiment on How AI Disclosures Affect Cred-ibility Perceptions and Engagement Across Topics |
| 777 | Gandalf Nicolas and Aylin Caliskan | What Are Chatbots’ Stereotypes About? A Data-Driven Analysis of Large Language Models’ Content Associations with Social Categories |
| 787 | Bhargavi Ganesh, Daniel Schiff and Stuart Anderson | The ‘Wild West’ of Medicine: Exploring the emergence of ‘grassroots’ AI governance in radiology |
| 795 | Goda Klumbytė and Claude Draude | Matters of Explanation: Rethinking Explainability with Tangible, Embodied, Material Interactions |
| 796 | Bhavneet Singh | Epistemic Destabilization: AI-Driven Knowledge Generation and the Collapse of Validation Systems |
| 798 | Tamara Paris, Jin L.C. Guo and Ajung Moon | “One of Silicon Valley’s Most Divisive Topics”: How the Media Discusses Openness in AI |
| 799 | Shalaleh Rismani, Renee Shelby, Leah Davis, Negar Rostamzadeh and Ajung Moon | Measuring What Matters: Connecting AI Ethics Evaluations to System Attributes, Hazards, and Harms |
| 800 | Sanika Moharana, Cynthia Bennett, Erin Buehler, Michael Madaio, Vinita Tibdewal and Shaun Kane | “Accessibility people, you go work on that thing of yours over there”: Addressing Disability Inclusion in AI Product Organizations |
| 805 | Kyra Wilson, Sourojit Ghosh and Aylin Caliskan | Bias Amplification in Stable Diffusion’s Representation of Stigma Through Skin Tones and Their Homogeneity |
| 809 | Jan Batzner, Volker Stocker, Bingjun Tang, Anusha Natarajan, Qinhao Chen, Stefan Schmid and Gjergji Kasneci | Whose Personae? Synthetic Persona Experiments in LLM Research and Pathways to Transparency |
| 813 | Rashid Mushkani, Hugo Berard, Toumadher Ammar, Cassandre Chatonnier and Shin Koseki | Co‑producing AI: Toward an Augmented, Participatory Lifecycle |
| 815 | Santhosh G S, Akshay Govind S, Gokul S Krishnan, Balaraman Ravindran and Sriraam Natarajan | IndiCASA: A Dataset and Bias Evaluation Framework for LLMs Using Contrastive Embedding Similarity in the Indian Context |
| 817 | Joe Germino, Yuying Zhao, Tyler Derr, Nuno Moniz and Nitesh V. Chawla | Explanation Difference: Bridging Procedural and Distributional Fairness |
| 823 | Hamza Belgroun, Franck Michel and Fabien Gandon | No Such Thing as Free Brain Time: For a Pigouvian Tax on Attention Capture |
| 828 | Jeffrey Keithley, Madeline Bonner and Sriram V. Pemmaraju | Models and Algorithms for Balancing Efficiency and Equity in Vaccine Allocation |
| 834 | An Thi Nguyen, Radina Stoykova and Eric Arazo | Emergent AI Surveillance: Overlearned Person Re-Identification and Its Mitigation in Law Enforcement Context |
| 844 | Princessa Cintaqia, Arshia Arya, Elissa M. Redmiles, Deepak Kumar, Allison McDonald and Lucy Qin | Abuse in the Name of “Safety”: Stop the Non-consensual Use of Intimate Images in Research |
| 863 | Chengyuan Yao, Yunxuan Tang, Christopher Brooks, Rene Kizilcec and Renzhe Yu | When the Past Misleads: Rethinking Training Data Expansion Under Temporal Distribution Shifts |
| 870 | Chee Hae Chung and Daniel Schiff | AI and the Social Contract |
| 876 | Yifan Zhang, Harini Suresh and Julia Netter | Designing Stakeholder-Based Pedagogy for AI Ethics Education: Insights from a Multi-Institutional Case Study |
| 879 | Minsol Kim, Wendy Wang, Rosalind Picard, Nathan Barczi, Jennifer Long and Pattie Maes | Designing for Reflective Agency: Ethical and Empirical Frameworks in AI Journaling |
| 882 | Evan Shieh, Faye Marie Vassel, Cassidy Sugimoto and Thema Monroe-White | Laissez-Faire Harms: Algorithmic Biases in Generative Language Models |
| 884 | Sarah Tran, Hongfan Lu, Isaac Slaughter, Bernease Herman, Aayushi Dangol, Yue Fu, Lufei Chen, Biniyam Gebreyohannes, Bill Howe, Alexis Hiniker, Nicholas Weber and Robert Wolfe | Understanding Privacy Norms Around LLM-Based Chatbots: A Contextual Integrity Perspective |
| 886 | Jiayu Zheng, Lingxin Hao, Kelun Lu, Ashi Garg, Mike Reese, Melo-Jean Yap, I-Jeng Wang, Xingyun Wu, Wenrui Huang, Jenna Hoffman, Ariane Kelly, My Le, Ryan Zhang, Yanyu Lin, Muhammad Faayez and Anqi Liu | Do students rely on AI? Analysis of student-ChatGPT conversations from a field study |
| 887 | Tanusree Sharma, Yihao Zhou and Visar Berisha | PRAC3 (Privacy, Reputation, Accountability, Consent, Credit, Compensation): Voice Actors in AI Data-economy |
| 896 | Frederick Awuah-Gyasi and Trilce Estrada | AI-OCI: A Novel Framework for Assessing AI’s Workforce Impact Using LLMs |
| 898 | Greta Timaite and Michael Castelle | Agents without Agency: Anthropological and Sociological Lessons for Contemporary AI Research and Policy |
| 900 | Robert Wolfe, Aayushi Dangol, Jaewon Kim and Alexis Hiniker | Toward Nonviolent Design: Co-Designing a Human-Centered Framework for AI-Mediated Communication |
| 901 | Shreeyash Gowaikar, Hugo Berard, Rashid Mushkani and Shin Koseki | From Efficiency to Equity: Measuring Fairness in Preference Learning |
| 906 | Mahasweta Chakraborti, Bert Prestoza, Nicholas Vincent, Vladimir Filkov and Seth Frey | Responsible AI in the OSS: Reconciling Innovation with Risk Assessment and Disclosure |
| 909 | Pooja S. B. Rao, Laxminarayen Nagarajan Venkatesan, Mauro Cherubini and Dinesh Babu Jayagopi | Invisible Filters: Cultural Bias in Hiring Evaluations Using Large Language Models |
| 924 | Mona Sloane, Abigail Jacobs and Emanuel Moss | Making Bodies: Assumptions in the Design and Validation of Motion Capture Technology |
Poster Session #4 – Student Papers
| 10 | Robin Young | On the Computational, Informational, and Physical Foundations for AI Safety |
| 26 | Felix Marti-Perez | Predictability in Autonomous Driving Systems |
| 76 | Cristopher Rauch | Precedent-Based Professional Role Ethics for AI Decision Analysis |
| 45 | Khadija Zanna | Safe and Explainable Machine Learning for High-Impact Decisions |
| 51 | Kshitij Kayastha | Algorithmic Recourse |
| 30 | Chi Ha Tran | Bridging Liability Gaps in the Age of AI: The Case for No-Fault Compensation Schemes |
| 33 | Öznur Uguz | To Regulate Or To Be Regulated? – How to Protect the ‘Freedom of Mind’ Against Emotional AI Surveillance |
| 65 | Ana Gagua | Improvising Accountability: The Everyday Governance Work of Responsible AI in the Public Sector |
| 66 | Samah Kareem | FATE-Compliant ML Architecture with Blockchain-Verifiable Auditing: A Governance Framework for Ethical Compliance in FinTech |
| 17 | Yao Xie and Walter Cullen | AI Contextual Framework: A Zoning Approach to Ethical AI Deployment |