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
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
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
613	Gaurab Pokharel, Shafkat Farabi, Patrick J. Fowler and Sanmay Das	Street-Level AI: Are Large Language Models Ready for Real-World Judgments?
695	Iqra Aslam, Donal Khosrowi and Rahul Nagshi	Rethinking Machine Unlearning through Ethics and Epistemology
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
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
924	Mona Sloane, Abigail Jacobs and Emanuel Moss	Making Bodies: Assumptions in the Design and Validation of Motion Capture Technology

Poster Session #1 – Students

7	Jan Batzner	Detecting, Classifying, and Mitigating Undesired Behaviors in Pretrained Large Language Models
8	Hesam Nourooz Pour	Machine Legibility and Epistemic Governance in Malaysia’s Smart Cities: A Postcolonial Analysis of Algorithmic Knowledge, Identity, and State Power
13	Oludolapo Makinde	Leveraging AI and ESG to Combat Corporate Corruption: An Integrated Framework
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
53	Hamayoon Behmanush	Supporting Marginalized Learners with GenAI
56	Sonia Fereidooni	A Survey of Large Language Model Use and its Technical Limitations in Military Systems through a Decolonial Lens
59	Julia De Miguel Velázquez	Beyond Templates: Understanding and Addressing Human-AI Interaction Harms through Practitioner Assumptions
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

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
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
316	Tatiana Chakravorti, Xinyu Wang, Pranav Narayanan Venkit, Sai Koneru, Kevin Munger and Sarah Rajtmajer	Social Scientists on the Role of AI in Research
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
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
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

17	Yao Xie and Walter Cullen	AI Contextual Framework: A Zoning Approach to Ethical AI Deployment
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
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
99	Gaurav Verma, Jiawei Zhou, Mohit Chandra, Srijan Kumar, Munmun De Choudhury	A Framework for Situating Innovations, Opportunities, and Challenges in Advancing Vertical Systems with Large AI Models
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
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
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
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
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

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