{"id":2612,"date":"2025-09-26T15:15:59","date_gmt":"2025-09-26T15:15:59","guid":{"rendered":"https:\/\/www.aies-conference.com\/2025\/?page_id=2612"},"modified":"2025-10-15T12:57:23","modified_gmt":"2025-10-15T12:57:23","slug":"poster-sessions","status":"publish","type":"page","link":"https:\/\/www.aies-conference.com\/2025\/poster-sessions\/","title":{"rendered":"Poster Sessions"},"content":{"rendered":"\n

Poster Session #1<\/strong><\/p>\n\n\n\n

14<\/td>Luca Nannini<\/td>From Categorical to Contextual: Interpreting High-Risk Classification for Profiling-Based AI Recommender Systems in the EU AI Act<\/td><\/tr>
33<\/td>Lucas Langlade, Julien Ferry, Gabriel Laberge and Thibaut Vidal<\/td>Fairness and Sparsity within Rashomon sets: Enumeration-Free Exploration and Characterization<\/td><\/tr>
37<\/td>Sanjana Gautam, Mohit Chandra, Ankolika De, Tatiana Chakravorti, Girik Malik and Munmun De Choudhury<\/td>Towards Experience-Centered AI: A Framework for Integrating Lived Experience in Design and Development<\/td><\/tr>
74<\/td>Keren Fuentes, Mimee Xu and Irene Y. Chen<\/td>Dataset-to-Dataset Evaluation Before (and Without) Sharing Data<\/td><\/tr>
103<\/td>Wonduk Seo, Zonghao Yuan and Yi Bu<\/td>ValuesRAG: Enhancing Cultural Alignment Through Retrieval-Augmented Contextual Learning<\/td><\/tr>
113<\/td>Sung Hyun Kwon, Jessica Clark, Il-Horn Hann and Jui Ramaprasad<\/td>Labeling in Their Shoes: Improving Text Annotation with Cognitive Empathy Priming<\/td><\/tr>
116<\/td>Jennifer Haase, Paul H. P. Hanel and Sebastian Pokutta<\/td>S-DAT: A Multilingual, GenAI-Driven Framework for Automated Divergent Thinking Assessment<\/td><\/tr>
119<\/td>Celia Cintas, Miriam Rateike, Erik Miehling, Elizabeth Daly and Skyler Speakman<\/td>Localizing Persona Representations in LLMs<\/td><\/tr>
128<\/td>Ke Zhou, Marios Constantinides and Daniele Quercia<\/td>Should LLMs be WEIRD? Exploring WEIRDness and Human Rights in Large Language Models<\/td><\/tr>
130<\/td>Maalvika Bhat and Duri Long<\/td>Emotional Plausibility vs. Emotional Truth: Designing Against Affective Misinformation in Conversational AI<\/td><\/tr>
132<\/td>Valeriia Cherepanova, Chia-Jung Lee, Nil-Jana Akpinar, Riccardo Fogliato, Martin Bertran Lopez, Michael Kearns and James Zou<\/td>Improving LLM Group Fairness on Tabular Data via In-Context Learning<\/td><\/tr>
137<\/td>Bo-Yi Liu, Zhi-Xuan Liu, Kuan Lun Chen, Shih-Yu Tsai, Jie Gao and Hao-Tsung Yang<\/td>Understanding Endogenous Data Drift in Adaptive Models with Recourse-Seeking Users<\/td><\/tr>
154<\/td>Pranav Khadpe, Kimi Wenzel, George Loewenstein and Geoff Kaufman<\/td>Explaining the Reputational Risks of AI-Mediated Communication: Messages labeled as AI-assisted are viewed as less diagnostic of the sender\u2019s moral character<\/td><\/tr>
178<\/td>Aditya Bhattacharya, Simone Stumpf and Katrien Verbert<\/td>Importance of User Control in Data-Centric Steering for Healthcare Experts<\/td><\/tr>
187<\/td>William Agnew, Julia Barnett, Annie Chu, Rachel Hong, Michael Feffer, Robin Netzorg, Harry Jiang, Ezra Awumey and Sauvik Das<\/td>Sound Check: Auditing Recent Audio Dataset Practices<\/td><\/tr>
190<\/td>Hyo Jin Do, Rachel Ostrand, Werner Geyer, Keerthiram Murugesan, Dennis Wei and Justin Weisz<\/td>Highlight All the Phrases: Enhancing LLM Transparency through Visual Factuality Indicators<\/td><\/tr>
191<\/td>Xubo Lin, Mingze Wang, Grace Hui Yang and Daniel Chen<\/td>Reward-on-the-Line: A Novel Offline Reinforcement Learning Method for Building Legal Conversational Agents<\/td><\/tr>
192<\/td>Shreya Chappidi, Jennifer Cobbe, Chris Norval, Anjali Mazumder and Jatinder Singh<\/td>Accountability Capture: How Record-Keeping to Support AI Transparency and Accountability (Re)shapes Algorithmic Oversight<\/td><\/tr>
196<\/td>Brinnae Bent<\/td>The Term \u2018Agent\u2019 Has Been Diluted Beyond Utility and Requires Redefinition<\/td><\/tr>
198<\/td>Ayana Hussain, Patrick Zhao and Nicholas Vincent<\/td>An Audit and Analysis of LLM-Assisted Health Misinformation Jailbreaks Against LLMs<\/td><\/tr>
200<\/td>Antoni Lorente<\/td>Value Creation and Value Capture in AI: A Triple Helix Model<\/td><\/tr>
210<\/td>Srikanth Avasarala, Serena Wang and Juba Ziani<\/td>The Disparate Effects of Partial Information in Bayesian Strategic Learning<\/td><\/tr>
211<\/td>Uvini Balasuriya Mudiyanselage, Bharat Jayprakash, Kookjin Lee and K. Hazel Kwon<\/td>Disaggregated Health Data in LLMs: Evaluating Data Equity in the Context of Asian American Representation<\/td><\/tr>
216<\/td>Pengxi Liu, Yi Shen, Matthew M. Engelhard, Benjamin A. Goldstein, Michael J. Pencina, Nicoleta J. Economou-Zavlanos and Michael M. Zavlanos<\/td>FairPOT: Balancing AUC Performance and Fairness with Proportional Optimal Transport<\/td><\/tr>
219<\/td>Tashmia Sabera<\/td>Beyond \u201cFairness\u201d: Rethinking the use of Algorithmic Predictions in Criminal Justice<\/td><\/tr>
220<\/td>Tin Trung Nguyen, Jiannan Xu, Zora Che, Phuong-Anh Nguyen-Le, Rushil Dandamudi, Donald Braman, Furong Huang, Hal Daum\u00e9 and Zubin Jelveh<\/td>Effort-aware Fairness: Incorporating a Philosophy-informed, Human-centered Notion of Effort into Algorithmic Fairness Metrics<\/td><\/tr>
226<\/td>Oriane Pierr\u00e8s, Alireza Darvishy and Markus Christen<\/td>Perceived Risks and Benefits of Disclosing ADHD to AI-based Educational Technologies: Semi-structured Interviews<\/td><\/tr>
228<\/td>Mengchen Dong, Levin Brinkmann, Omar Sherif, Shihan Wang, Xinyu Zhang, Jean-Fran\u00e7ois Bonnefon and Iyad Rahwan<\/td>Experimental evidence that AI-managed workers tolerate lower pay without demotivation<\/td><\/tr>
231<\/td>Byeong-Je Kim, Seunghoo Jeong, Bong-Kyung Cho and Ji-Bum Chung<\/td>AI Governance in the Context of the EU AI Act<\/td><\/tr>
233<\/td>Katelyn Morrison, Arpit Mathur, Aidan Bradshaw, Tom Wartmann, Steven Lundi, Afrooz Zandifar, Weichang Dai, Kayhan Batmanghelich, Motahhare Eslami and Adam Perer<\/td>A Human-Centered Approach to Identifying Promises, Risks, & Challenges of Text-to-Image Generative AI in Radiology<\/td><\/tr>
243<\/td>Garfield Benjamin<\/td>Centring the margins: mapping AI systems as systems of power<\/td><\/tr>
249<\/td>Ruchira Dhar, Stephanie Brandl, Ninell Oldenburg and Anders S\u00f8gaard<\/td>Beyond Technocratic XAI: The Who, What & How in Explanation Design<\/td><\/tr>
253<\/td>Styliani Kleanthous and Maria Kasinidou<\/td>Legal Affiliates\u2019 Views on Algorithmic Decision Making<\/td><\/tr>
258<\/td>Abdalwahab Almajed, Maryam Tabar and Peyman Najafirad<\/td>A Comprehensive Evaluation of the Sensitivity of Density-Ratio Estimation Based Fairness Measurement in Regression<\/td><\/tr>
260<\/td>Jose M. Alvarez and Salvatore Ruggieri<\/td>Toward A Causal Framework for Modeling Perception<\/td><\/tr>
262<\/td>Maria Eriksson, Erasmo Purificato, Arman Noroozian, Jo\u00e3o Vinagre, Guillaume Chaslot, Emilia Gomez and David Fernandez-Llorca<\/td>Can We Trust AI Benchmarks? An Interdisciplinary Review of Current Issues in AI Evaluation<\/td><\/tr>
267<\/td>Oriane Peter and Kate Devlin<\/td>Decentralising LLM Alignment: A Case for Context, Pluralism, and Participation<\/td><\/tr>
272<\/td>Ding Wang, Mark D\u00edaz, 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<\/td>“Just a strange pic”: Evaluating ‘safety’ in GenAI Image safety annotation tasks from diverse annotators’ perspectives<\/td><\/tr>
273<\/td>Raphael Fischer, Magdalena Wischnewski, Alexander van der Staay, Katharina Poitz, Christian Janiesch and Thomas Liebig<\/td>Bridging the Communication Gap: Evaluating AI Labeling Practices for Trustworthy AI Development<\/td><\/tr>
278<\/td>Ha-Chi Tran<\/td>Who Foots the Bill?: State-Backed No-Fault Compensation for Experimental Harms in Artificial Intelligence Regulatory Sandboxes<\/td><\/tr>
280<\/td>Santiago Fl\u00f3rez S\u00e1nchez<\/td>LLM-based Simulations of Human Behavior in Psychological Research<\/td><\/tr>
287<\/td>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<\/td>Unravelling Responsible AI: An Umbrella Review<\/td><\/tr>
291<\/td>Lujain Ibrahim, Saffron Huang, Lama Ahmad, Umang Bhatt and Markus Anderljung<\/td>Towards Interactive Evaluations for Interaction Harms in Human-AI Systems<\/td><\/tr>
509<\/td>Carson Ezell, Xavier Roberts-Gaal and Alan Chan<\/td>Incident Analysis for AI Agents<\/td><\/tr>
569<\/td>Eugene Kim, Vaibhav Balloli, Berelian Karimian, Elizabeth Bondi-Kelly and Benjamin Fish<\/td>RelAItionship Building: Analyzing Recruitment Strategies for Participatory AI<\/td><\/tr>
613
<\/td>		Gaurab Pokharel, Shafkat Farabi, Patrick J. Fowler and Sanmay Das<\/td>Street-Level AI: Are Large Language Models Ready for Real-World Judgments?<\/td><\/tr>
695
<\/td>		Iqra Aslam, Donal Khosrowi and Rahul Nagshi<\/td>Rethinking Machine Unlearning through Ethics and Epistemology<\/td><\/tr>
756
<\/td>		Ana Gagua, Haiko van der Voort, Nihit Goyal and Alexander Verbraeck<\/td>Responsible AI Governance in the Public Sector: Explaining Contextual Dynamics through a Realist Synthesis Review<\/td><\/tr>
759<\/td>Jen Semler<\/td>Moral Agents Unlike Us<\/td><\/tr>
843<\/td>Lindsey A. Gailmard, Drew Spence, Christie Lawrence and Daniel E. Ho<\/td>Known Unknowns and Unknown Unknowns: Designing a Scalable Adverse Event Reporting System for AI<\/td><\/tr>
924
<\/td>		Mona Sloane, Abigail Jacobs and Emanuel Moss<\/td>Making Bodies: Assumptions in the Design and Validation of Motion Capture Technology<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

Poster Session #1 – Students<\/strong><\/p>\n\n\n\n

7<\/td>Jan Batzner<\/td>Detecting, Classifying, and Mitigating Undesired Behaviors in Pretrained Large Language Models<\/td><\/tr>
8<\/td>Hesam Nourooz Pour<\/td>Machine Legibility and Epistemic Governance in Malaysia\u2019s Smart Cities: A Postcolonial Analysis of Algorithmic Knowledge, Identity, and State Power<\/td><\/tr>
13
<\/td>		Oludolapo Makinde<\/td>Leveraging AI and ESG to Combat Corporate Corruption: An Integrated Framework<\/td><\/tr>
25<\/td>Tessina Grant Moloney<\/td>AI Ethics in Cyborg Anthropology: Examining AI-Driven Job Displacement Among Women and Marginalized Groups<\/td><\/tr>
42<\/td>Bruno Fonseca<\/td>Towards Responsible AI Governance in the Brazilian Judiciary<\/td><\/tr>
44<\/td>Daphne Wong-A-Foe<\/td>Between Code and Creed: Islamic Ethical In-Betweenness on AI in Indonesia<\/td><\/tr>
53<\/td>Hamayoon Behmanush<\/td>Supporting Marginalized Learners with GenAI<\/td><\/tr>
56<\/td>Sonia Fereidooni<\/td>A Survey of Large Language Model Use and its Technical Limitations in Military Systems through a Decolonial Lens<\/td><\/tr>
59<\/td>Julia De Miguel Vel\u00e1zquez<\/td>Beyond Templates: Understanding and Addressing Human-AI Interaction Harms through Practitioner Assumptions<\/td><\/tr>
72<\/td>Teresa Sides<\/td>Resistance to Change as a Diagnostic Insight: An Interdisciplinary Examination of Stakeholder Opposition to AI in Primary Care<\/td><\/tr>
73<\/td>Marc Elliott<\/td>Deploying AI in Uncertain Environments: A Technical Limitation or a Human Characteristic?<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

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<\/p>\n\n\n\n

Poster Session #2<\/strong><\/p>\n\n\n\n

10<\/td>Keziah Naggita and Julienne LaChance<\/td>A case for data valuation transparency via DValCards<\/td><\/tr>
15<\/td>Luca Nannini<\/td>When Less Regulation Means More Complexity: The EU AI Liability Directive Withdrawal and its Impact on European Technological Competitiveness<\/td><\/tr>
309<\/td>Esma A\u00efmeur, Gilles Brassard and Dorsaf Sallami<\/td>Too Focused on Accuracy to Notice the Fallout: Towards Socially Responsible Fake News Detection<\/td><\/tr>
312<\/td>Jadie Adams, Brian Hu, Emily Veenhuis, David Joy, Bharadwaj Ravichandran, Aaron Bray, Anthony Hoogs and Arslan Basharat<\/td>Steerable Pluralism: Pluralistic Alignment via Few-Shot Comparative Regression<\/td><\/tr>
316<\/td>Tatiana Chakravorti, Xinyu Wang, Pranav Narayanan Venkit, Sai Koneru, Kevin Munger and Sarah Rajtmajer<\/td>Social Scientists on the Role of AI in Research<\/td><\/tr>
318<\/td>Shai Ben-David, Pascale Gourdeau, Tosca Lechner and Ruth Urner<\/td>What’s Individual about Individual Fairness?<\/td><\/tr>
320<\/td>Julia Barnett, Kimon Kieslich, Jasmine Sinchai and Nicholas Diakopoulos<\/td>Scenarios in Computing Research: A Systematic Review of the Use of Scenario Methods for Exploring the Future of Computing Technologies in Society<\/td><\/tr>
327<\/td>Pegah Nokhiz, Aravinda Kanchana Ruwanpathirana and Helen Nissenbaum<\/td>Rethinking Optimization: A Systems-Based Approach to Social Externalities<\/td><\/tr>
328<\/td>Taro Higuchi and Einoshin Suzuki<\/td>Complete Categorization of Instinct-Exploiting Data-Explanations and their Generation with Large-Language Models<\/td><\/tr>
329<\/td>Tianqi Kou, Dana Calacci and Cindy Lin<\/td>Dead Zone of Accountability: Why Social Claims in Machine Learning Research Should Be Articulated and Defended<\/td><\/tr>
331<\/td>Heesoo Jang<\/td>Exporting Autonomy, Importing Dependency: The Geopolitical Work of \u201cSovereign AI\u201d<\/td><\/tr>
332<\/td>Mallak Alkhathlan, Hilson Shrestha, Lane Harrison and Elke Rundensteiner<\/td>Exploring \u201cJust Noticeable\u201d Group Fairness in Rankings<\/td><\/tr>
335<\/td>Evani Radiya-Dixit and Ang\u00e8le Christin<\/td>Same Stereotypes, Different Term? Understanding the “Global South” in AI Ethics<\/td><\/tr>
336<\/td>Rex Chen, Stephanie Milani, Zhicheng Zhang, Norman Sadeh and Fei Fang<\/td>Making Teams and Influencing Agents: Efficiently Coordinating Decision Trees for Interpretable Multi-Agent Reinforcement Learning<\/td><\/tr>
343<\/td>Mowafak Allaham, Kimon Kieslich and Nicholas Diakopoulos<\/td>Informing AI Risk Assessment with News Media: Analyzing National and Political Variation in the Coverage of AI Risks<\/td><\/tr>
344<\/td>Jacqueline Kernahan, Richard Bartels, Mark de Reuver, Daniel Oberski and Roel Dobbe<\/td>Burying The Lead: Adjusting Goals to Manage Functional Limitations of AI Tools in Healthcare<\/td><\/tr>
346<\/td>Sourojit Ghosh and Kyra Wilson<\/td>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<\/td><\/tr>
348<\/td>Pratheeksha Nair, Gabriel Lefebvre, Maryam Molamohammadi, Sophia Garrel and Reihaneh Rabbany<\/td>Reframing AI-for-Good: Radical Questioning in AI for Human Trafficking Interventions<\/td><\/tr>
349<\/td>Caroline M. Johnston, Olga Koumoundouros, Angel Hsing-Chi Hwang, Laura Onasch-Vera, Eric Rice and Phebe Vayanos<\/td>Toward AI Matching Policies in Homeless Services: A Qualitative Study with Policymakers<\/td><\/tr>
354<\/td>Apurva Kulkarni and Chandrashekar Ramanathan<\/td>Guardrail Framework for Embedding Ethical Safeguards in Software Applications for Responsible AI<\/td><\/tr>
361<\/td>Prakhar Ganesh, Afaf Taik and Golnoosh Farnadi<\/td>Systemizing Multiplicity: The Curious Case of Arbitrariness in Machine Learning<\/td><\/tr>
362<\/td>Laura Lucaj, Alex Loosley, H\u00e5kan Jonsson, Urs Gasser and Patrick van der Smagt<\/td>TechOps: Technical Documentation Templates for the AI Act<\/td><\/tr>
365<\/td>Andrea Cremaschi, Dae-Jin Lee and Manuele Leonelli<\/td>Will AI Take My Job? Evolving Perceptions of Automation and Labor Risk in Latin America<\/td><\/tr>
374<\/td>David Doron Yaacov<\/td>Normative Moral Pluralism for AI: A Framework for Deliberation in Complex Moral Contexts<\/td><\/tr>
377<\/td>Jakob Kappenberger, Clara Strasser Ceballos, Frederic Gerdon, Daria Szafran, Florian Rupp, Kai Eckert, Heiner Stuckenschmidt, Ruben Bach, Frauke Kreuter and Christoph Kern<\/td>Unintended Impacts of Automation for Integration? Simulating Integration Outcomes of Algorithm-Based Refugee Allocation in Germany<\/td><\/tr>
381<\/td>Maarten Wilders, \u00cd\u00f1igo Mart\u00ednez de Rituerto de Troya and Roel Dobbe<\/td>The Socratic Dialogue as a Method for Virtue Ethics in AI: A Case Study<\/td><\/tr>
386<\/td>Aditya Gulati, Moreno D’Inc\u00e0, Nicu Sebe, Bruno Lepri and Nuria Oliver<\/td>Beauty and the Bias: Exploring the Impact of Attractiveness on Multimodal Large Language Models<\/td><\/tr>
393<\/td>Spencer Hey, Julie Walsh and Eni Mustafaraj<\/td>Comparing Human and LLM Ethical Analyses: A Case Study in Computational Social Science Research<\/td><\/tr>
395<\/td>Clara Strasser Ceballos, Marcus Novotny and Christoph Kern<\/td>Beyond Proxy Variables: Extending Refugee Allocation Algorithms for Equitable Predictions<\/td><\/tr>
396<\/td>\u00d6nder Celik, Marlene Kulla and Justyna Stypinska<\/td>Trust Formation in Healthcare AI: An Exploration of Older Adults\u2019 Perspectives<\/td><\/tr>
401<\/td>Rebecca Yu, Valerie Chen, Ameet Talwalkar and Hoda Heidari<\/td>Why Do Decision Makers (Not) Use AI? A Cross-Domain Analysis of Factors Impacting AI Adoption<\/td><\/tr>
402<\/td>Asutosh Hota and Jussi Jokinen<\/td>NomicLaw: Emergent Trust and Strategic Argumentation in LLMs during Collaborative Law-Making<\/td><\/tr>
405<\/td>Liv Ziegfeld, Esther Kox, Ivana Akrum and Marlijn Heijnen<\/td>Aligning AI Systems with Human Values: A Method for Identifying and Specifying Values<\/td><\/tr>
409<\/td>Sophia Worth, Georgia Panagiotidou and Elena Simperl<\/td>(Don\u2019t) Tell Me What To Do: A Retrospective Study on the Use of a Data Ethics Framework<\/td><\/tr>
416<\/td>Jay Cunningham, Jainaba Jawara, Jeffrey Basoah, Adinawa Adjagbodjou, Kowe Kadoma and Aaleyah Lewis<\/td>Toward Responsible ASR for African American English Speakers: A Scoping Review of Bias and Equity in Speech Technology<\/td><\/tr>
417<\/td>Jay Cunningham, Kevin Shao, Rock Yuren Pang and Nat Mengist<\/td>Advancing NLP Data Equity: Practitioner Responsibility and Accountability in NLP Data Practices<\/td><\/tr>
418<\/td>Deborah Dormah Kanubala and Isabel Valera<\/td>On the Misalignment Between Legal Notions and Statistical Metrics of Intersectional Fairness<\/td><\/tr>
423<\/td>Flore Vancompernolle Vromman, Sylvain Courtain, Pierre Leleux and Marco Saerens<\/td>Fairness-Aware Post-Processing in Supervised Classification: L1\/L2 Norm and Optimal Swapping Methods<\/td><\/tr>
428<\/td>Rida Qadri, Mark D\u00edaz, Ding Wang and Michael Madaio<\/td>The Case for “Thick Evaluations” of Cultural Representation in AI<\/td><\/tr>
432<\/td>Rachel Kim, Blaine Kuehnert, Seth Lazar, Ranjit Singh and Hoda Heidari<\/td>The AI Power Disparity Index: Toward a Compound Measure of AI Actors\u2019 Power to Shape the AI Ecosystem<\/td><\/tr>
433<\/td>Saad Alqithami<\/td>Adaptive Accountability in Networked Multi-Agent Systems<\/td><\/tr>
434<\/td>Hyo Jin Do and Werner Geyer<\/td>Hide or Highlight: Understanding the Impact of Factuality Expression on User Trust<\/td><\/tr>
439<\/td>Prachi Bagave, Marcus Westberg, Marijn Janssen and Aaron Yi Ding<\/td>Accountability Framework for Healthcare AI Systems: Towards Joint Accountability in Decision Making<\/td><\/tr>
442<\/td>Simon Fischer, Hanna Schraffenberger, Serge Thill and Pim Haselager<\/td>A Taxonomy of Questions for Critical Reflection in Machine-Assisted Decision-Making<\/td><\/tr>
444<\/td>Minja Axelsson, Jiaee Cheong, Rune Nyrup and Hatice Gunes<\/td>Who Owns The Robot?: Four Ethical and Socio-technical Questions about Wellbeing Robots in the Real World through Community Engagement<\/td><\/tr>
446<\/td>Chris Schmitz and Joanna Bryson<\/td>A Moral Agency Framework for Legitimate Integration of AI in Bureaucracies<\/td><\/tr>
457<\/td>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<\/td>Documenting Deployment with Fabric: A Repository of Real-World AI Systems and Governance Mechanisms<\/td><\/tr>
458<\/td>Atmadeep Ghoshal, Martim Brandao, Ruba Abu-Salma and Sanjay Modgil<\/td>Embodied AI at the Margins: Postcolonial Ethics for Intelligent Robotic Systems<\/td><\/tr>
460<\/td>Bastien Zimmermann and Matthieu Boussard<\/td>Needle in a Patched Haystack:\\\\ Evaluating Saliency Maps for Vision LLMs.<\/td><\/tr>
474<\/td>Tasfia Mashiat, Patrick Fowler and Sanmay Das<\/td>Who pays the RENT? Implications of Spatial Inequality for Prediction-Based Allocation Policies<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

Poster Session #2 – Student Papers<\/strong><\/p>\n\n\n\n

37<\/td>Disa Sariola<\/td>Auditing and Validating Fairness and Ethics in Machine Learning Systems<\/td><\/tr>
43<\/td>Julia Barnett<\/td>Lay-stakeholder centric sociotechnical mechanisms for addressing the impacts of generative AI<\/td><\/tr>
49<\/td>Mina Arzaghi<\/td>Advancing Fairness in Generative AI through Intrinsic and Extrinsic Bias Evaluation and Mitigation<\/td><\/tr>
75<\/td>Yael Moros Daval<\/td>How Can Large Language Models Be More Reliable?<\/td><\/tr>
23<\/td>Jared Katzman<\/td>Governing AI Proactively: Cooperative Models of Anticipation and Accountability<\/td><\/tr>
9<\/td>Tatiana Chakravorti<\/td>Human Centered AI for Research Ethics and Transparency<\/td><\/tr>
21<\/td>Denis Chiriac<\/td>The Dilemmas of Moral Autonomy in the Transfer of Human Consciousness to AI<\/td><\/tr>
58<\/td>Anna-Kaisa Kaila<\/td>Critical explorations on the socio-ethical implications of Creative AI for artists<\/td><\/tr>
70<\/td>Christoffer Koch Andersen<\/td>Binary Optics: Colonial Classification of Trans Lives in Algorithmic Technologies<\/td><\/tr>
14<\/td>Jinu K Varghese and Padma Rani<\/td>Platform Vernaculars: How AI Image Generators Create New Forms of Visual Bias<\/td><\/tr>
20<\/td>Siddharth Jaiswal<\/td>Fairer Datasets for Advancing Responsible AI Systems<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

<\/p>\n\n\n\n

Poster Session #<\/strong>3<\/p>\n\n\n\n

97

<\/td>		Tanusree Sharma, Yujin Potter, Zachary Kilhoffer, Yun Huang, Dawn Song and Yang Wang<\/td>Aligning AI with Public Values: Deliberation and Decision-Making for Governing Multimodal LLMs in Political Video Analysis<\/td><\/tr>
302<\/td>Agrima Seth, Monojit Choudhary, Sunayana Sitaram, Kentaro Toyama, Aditya Vashistha and Kalika Bali<\/td>How Deep Is Representational Bias in LLMs? The Cases of Caste and Religion<\/td><\/tr>
308<\/td>Kimberly Le Truong, Annette Zimmermann and Hoda Heidari<\/td>Toward Valid Measurement Of (Un)fairness For Generative AI: A Proposal For Systematization Through The Lens Of Fair Equality of Chances<\/td><\/tr>
316
<\/td>		Tatiana Chakravorti, Xinyu Wang, Pranav Narayanan Venkit, Sai Koneru, Kevin Munger and Sarah Rajtmajer<\/td>Social Scientists on the Role of AI in Research<\/td><\/tr>
345<\/td>Jordan Duran, Samir Passi and Mihaela Vorvoreanu<\/td>RAI Advocacy: Communicative Strategies for Advancing Responsible AI in Large Technology Companies<\/td><\/tr>
476<\/td>Ana Paula Moritz and Alayna Kennedy<\/td>Operationalizing critical data approaches in fraud detection in Latin America<\/td><\/tr>
477<\/td>Laura Fearnley and Ibrahim Habli<\/td>Concept Creep in Safe Artificial Intelligence<\/td><\/tr>
481<\/td>El-Mahdi El-Mhamdi, L\u00ea-Nguy\u00ean Hoang and Mariame Tighanimine<\/td>A case for specialisation in non-human entities<\/td><\/tr>
484<\/td>Jan Batzner, Volker Stocker, Stefan Schmid and Gjergji Kasneci<\/td>GermanPartiesQA: Benchmarking Commercial Large Language Models and AI Companions for Political Alignment and Sycophancy<\/td><\/tr>
490<\/td>Lynn Vonderhaar, Kayla Taylor, Jennifer Wojton and Omar Ochoa<\/td>Exclusive Flux: A Review of Flux\u2019s Generation of LGBTQ+ Couples<\/td><\/tr>
491<\/td>Vyoma Raman, Judy Hanwen Shen, Andy K. Zhang, Lindsey Gailmard, Rishi Bommasani, Angelina Wang and Daniel Ho<\/td>Deconstructing Provider and Deployer Obligations for Fairness in General-Purpose AI<\/td><\/tr>
500<\/td>Maaike Harbers, Sophie Horsman, Pascal Wiggers, Huib Aldewereld, Marcio Fuckner, Coert Van Gemeren, Oumaima Hajri, Floor Schukking and Nathalie Stembert<\/td>Responsible AI in Media Organizations: Four Case Studies Implementing Ethical Tools in Practice<\/td><\/tr>
502<\/td>Dunstan Allison-Hope, Patrick Gage Kelley, Reena Jana, Angela McKay and Allison Woodruff<\/td>Ten Insights From Other Domains That Inform Responsible AI Frameworks<\/td><\/tr>
505<\/td>Sachit Mahajan<\/td>Mapping Moral Reasoning in LLMs: A Multi-Dimensional Analysis of Safety Principle Conflicts<\/td><\/tr>
510<\/td>Aaron Fanous, Jacob Goldberg, Ank Agrawal, Joanna Lin, Anson Zhou, Sonnet Xu, Vasiliki Bikia, Roxana Daneshjou and Sanmi Koyejo<\/td>SycEval: Evaluating LLM Sycophancy<\/td><\/tr>
514<\/td>Kiana Jafari Meimandi, Anka Reuel, Gabriela Aranguiz-Dias, Hatim Rahama, Ala-Eddine Ayadi, Xavier Boullier, J\u00e9r\u00e9my Verdo, Louis Montanie and Mykel Kochenderfer<\/td>From Principles to Practice: The ARGO Framework for Responsible AI Governance in Decentralized Organizations<\/td><\/tr>
519<\/td>Chiara Ullstein, Simon Jarvers, Michel Hohendanner, Orestis Papakyriakopoulos and Jens Grossklags<\/td>Participatory AI and the EU AI Act<\/td><\/tr>
527<\/td>Kola Ayonrinde and Louis Jaburi<\/td>A Mathematical Philosophy of Explanations in Mechanistic Interpretability<\/td><\/tr>
530<\/td>Stephanie Milani, Zhicheng Zhang, Nicholay Topin, Lirong Xia and Fei Fang<\/td>Aligning Agent Policies with Preferences: Human-Centered Interpretable Reinforcement Learning<\/td><\/tr>
535<\/td>Simon Grange, Safa Alameri, Pearl Rwauya and Rami Bahsoon<\/td>AI Managing Agent-Based Healthcare Processes<\/td><\/tr>
537<\/td>Christina Chance and Kai-Wei Chang<\/td>Re-imagining Virtual Communities: Ethical Guidelines for Studying Black Twitter<\/td><\/tr>
541<\/td>Rauno Arike, Elizabeth Donoway, Henning Bartsch and Marius Hobbhahn<\/td>Evaluating Goal Drift in Language Model Agents<\/td><\/tr>
548<\/td>P\u0131nar Barlas<\/td>A Critical Look at a Critical Care Dataset: MIMIC-IV’s Construction, Contents, & Consequences<\/td><\/tr>
551<\/td>Hellina Hailu Nigatu, Nuredin Ali Abdelkadir, Fiker Tewelde, Stevie Chancellor and Daricia Wilkinson<\/td>Into the Void: Understanding Online Health Information in Low-Web Data Languages<\/td><\/tr>
554<\/td>Alyssa Hanson, Gordon Briggs, Ruchen Wen, Yifei Zhu and Tom Williams<\/td>\u201cStealing is wrong… and too hard to pull off successfully\u201d: Inclusion of Normative versus Capacity Information in Robot Command Rejection<\/td><\/tr>
557<\/td>Mark Riedl and Deven Desai<\/td>AI Agents and the Law<\/td><\/tr>
558<\/td>Bruno Scarone, Alfredo Viola, Ren\u00e9e J. Miller and Ricardo Baeza-Yates<\/td>A Principled Approach for Data Bias Mitigation<\/td><\/tr>
566<\/td>Afaf Taik, Khaoula Chehbouni and Golnoosh Farnadi<\/td>Fairness in Federated Learning : Fairness for whom?<\/td><\/tr>
588<\/td>Steven Vethman, Jildau Bouwman and Cor Veenman<\/td>Visualizing Data Representation for Responsible Decisions about AI<\/td><\/tr>
590<\/td>Jennifer King, Kevin Klyman, Emily Capstick, Tiffany Saade and Victoria Hsieh<\/td>User Privacy and Large Language Models: An Analysis of Frontier Labs\u2019 Privacy Policies<\/td><\/tr>
594<\/td>Mayesha Tasnim, Paul Verhagen, Tobias Blanke, Erman Acar and Sennay Ghebreab<\/td>Modeling Strategic Risk in School Choice: A Case for Transparent Design<\/td><\/tr>
596<\/td>Marianna Ganapini, Francesca Rossi, Brian Gohering, Nich Berente and Marialen Bevilacqua<\/td>Making Sense of AI Ethics and Governance Investments<\/td><\/tr>
602<\/td>Chiman Salavati, Shannon Song, Scott A. Hale, Roberto E. Montenegro, Shiri Dori-Hacohen and Fabricio Murai<\/td>AI-Powered Detection of Inappropriate Language in Medical School Curricula<\/td><\/tr>
606<\/td>Edward Raff, Michel Benaroch and Andrew Farris<\/td>You Don’t Need Robust Machine Learning to Manage Adversarial Attack Risks<\/td><\/tr>
609<\/td>Yulu Pi, Cagatay Turkay and Daniel Bogiatzis-Gibbons<\/td>Interactive AI and Human Behavior: Challenges and Pathways for AI Governance<\/td><\/tr>
627<\/td>Jennifer Wang, Kayla Huang, Kevin Klyman and Rishi Bommasani<\/td>Do AI Companies Make Good on Voluntary Commitments to the White House?<\/td><\/tr>
649<\/td>Pak-Hang Wong and Gernot Rieder<\/td>After Harm: A Plea for Moral Repair after Algorithms Have Failed<\/td><\/tr>
652<\/td>Colleen Chien, Anna Zink and Irene Chen<\/td>Bridging Research Gaps Between Academic Research and Legal Investigations of Algorithmic Discrimination<\/td><\/tr>
660<\/td>Bryce Anderson, Riley Galpin and Tom S Juzek<\/td>Model Misalignment and Language Change: Traces of AI-Associated Language in Unscripted Spoken English<\/td><\/tr>
664<\/td>Zhongteng Cai, Mohammad Mahdi Khalili and Xueru Zhang<\/td>Demographic-Agnostic Fairness without Harm<\/td><\/tr>
667<\/td>David Egea, Barproda Halder and Sanghamitra Dutta<\/td>VISION: Robust and Interpretable Code Vulnerability Detection Leveraging Counterfactual Augmentation<\/td><\/tr>
673<\/td>Nicol\u00e1s Palomo Hern\u00e1ndez<\/td>Towards automating deliberation? The idea of deliberative democracy embedded in Google\u2019s Habermas Machine.<\/td><\/tr>
682<\/td>Farah Atif, Nursultan Askarbekuly, Kareem Darwish and Monojit Choudhury<\/td>Sacred or Synthetic? Evaluating LLM Reliability and Abstention for Religious Questions<\/td><\/tr>
686<\/td>Ebtesam Al Haque, Gabriella Thompson, Angela D. R. Smith and Brittany Johnson<\/td>An Investigation into Black and Brown Communities’ Engagement with Data & Technology<\/td><\/tr>
699<\/td>Nicole Smith-Vaniz, Harper Lyon, Lorraine Steigner, Ben Armstrong and Nicholas Mattei<\/td>Investigating Political and Demographic Associations in Large Language Models Through Moral Foundations Theory<\/td><\/tr>
717<\/td>Aspen Hopkins, Sarah Cen, Isabella Struckman, Andrew Ilyas, Luis Videgaray and Aleksander Madry<\/td>AI Supply Chains: An Emerging Ecosystem of AI Actors, Products, and Services<\/td><\/tr>
734<\/td>Sijia Xiao, Haodi Zou, Alice Qian Zhang, Deepak Kumar, Hong Shen, Jason Hong and Motahhare Eslami<\/td>What Comes After Harm? Mapping Reparative Actions in AI through Justice Frameworks<\/td><\/tr>
735<\/td>Sara Altamirano, Arjan Vreeken and Sennay Ghebreab<\/td>Machine Learning and Public Health: Identifying and Mitigating Algorithmic Bias through a Systematic Review<\/td><\/tr>
750<\/td>S\u00f3nia Teixeira, Atia Cort\u00e9s, Dilhan Thilakarathne, Gianmarco Gori, Marco Minici, Monowar Bhuyan, Nina Khairova, Tosin Adewumi, Devvjiit Bhuyan, Jack O’Keefe, Carmela Comito, Jo\u00e3o Gama and Virginia Dignum<\/td>A Multidimensional Approach to Ethical AI Auditing<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

Poster Session #3 – Student Papers<\/strong><\/p>\n\n\n\n

17<\/td>Yao Xie and Walter Cullen<\/td>AI Contextual Framework: A Zoning Approach to Ethical AI Deployment<\/td><\/tr>
34<\/td>Paolo Bova<\/td>On Forecasting Lags in AI Risk Evaluation<\/td><\/tr>
61<\/td>Salima Jaoua<\/td>Fairness in Social Media Platforms: Modeling Behavior and Designing Interventions<\/td><\/tr>
64<\/td>Prakhar Ganesh<\/td>From Model Multiplicity to Prompt Multiplicity: Emerging Arbitrariness Concerns in the Age of Generative AI<\/td><\/tr>
46<\/td>Gaurab Pokharel<\/td>Beyond Automation: Understanding Fairness, Ethics, and Human Discretion in AI-driven Societal Decisions<\/td><\/tr>
71<\/td>Abiola Azeez<\/td>Regulatory Policies on Ethics Evaluations for Large-Scale AI Systems <\/td><\/tr>
60<\/td>Neha Gupta<\/td>An Economic Lens on Ethics Evaluations and Regulation for Large-Scale
Artificial Intelligence Systems<\/td><\/tr>
35<\/td>Jingyu Hu<\/td>Extended Abstract: Building Preference Aware Trustworthy AI Through Fairness and Interpretability<\/td><\/tr>
36<\/td>Eura Nofshin<\/td>Human Models for Planning Behavioral Interventions with Reinforcement Learning<\/td><\/tr>
41<\/td>Jeffrey Keithley<\/td>The Design and Analysis of Algorithmic Vaccine Allocation Frameworks<\/td><\/tr>
39<\/td>Suvradip Maitra<\/td>Voice AI and Hermeneutical Injustice at the Border<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

<\/p>\n\n\n\n

Poster Session #<\/strong>4<\/p>\n\n\n\n

80<\/td>Ben Gansky<\/td>The Politics of AI Systems are Inextricable from Their Supply Chains: Public Values Versus the Digital Political Economy<\/td><\/tr>
99<\/td>Gaurav Verma, Jiawei Zhou, Mohit Chandra, Srijan Kumar, Munmun De Choudhury <\/td>A Framework for Situating Innovations, Opportunities, and Challenges in Advancing Vertical Systems with Large AI Models <\/a><\/td><\/tr>
212<\/td>Farhana Shahid, Mona Elswah and Aditya Vashistha<\/td>Think Outside the Data: Colonial Biases and Systemic Issues in Automated Moderation Pipelines for Low-Resource Languages<\/td><\/tr>
246<\/td>Saquib Ahmed, Tejo Gayathri Busireddy and Sanorita Dey<\/td>Enhancing Image Comprehension: The Impact of AI-Generated Explanations on Perception of Altered and Synthetic Media<\/td><\/tr>
461<\/td>Miriam Fahimi, Laura State and Atoosa Kasirzadeh<\/td>From explaining to diagnosing: a justice-oriented framework of explainable AI for bias detection<\/td><\/tr>
736<\/td>Sergio Cobos and Javier Luis Canovas Izquierdo<\/td>Ethical Classification of Non-Coding Contributions in Open-Source Projects via Large Language Models<\/td><\/tr>
738<\/td>Norman Bukingolts<\/td>Mimetic AI Systems: Understanding and Regulating the Use of Generative Models for Impersonation<\/td><\/tr>
747<\/td>Linus W. Dietz, Arif Wider and Simon Harrer<\/td>Automating Data Governance with Generative AI<\/td><\/tr>
755<\/td>Pooja S. B. Rao, Sanja \u0160\u0107epanovi\u0107, Dinesh Babu Jayagopi, Mauro Cherubini and Daniele Quercia<\/td>Who Envisions Real AI Risks? A Comparison of Risks Envisioned by AI Developers and Researchers with Harms Recorded in the News<\/td><\/tr>
760<\/td>Nick Oh, Giorgos Vrakas, Si\u00e2n Brooke, Sasha Morineire and Toju Duke<\/td>p-ETLp: A Privacy-by-Design Data Pipeline Framework for Responsible Social Media Data Practices<\/td><\/tr>
762<\/td>Rose E. Guingrich and Michael S. A. Graziano<\/td>A Longitudinal Randomized Control Study of Companion Chatbot Use: Anthropomorphism and Its Mediating Role on Social Impacts<\/td><\/tr>
763<\/td>Alejandro Pe\u00f1a Almansa, Julian Fierrez Aguilar, Aythami Morales Moreno, Gonzalo Mancera, Miguel Lopez-Duran and Ruben Tolosana<\/td>Addressing Bias in LLMs: Strategies and Application to Fair AI-based Recruitment<\/td><\/tr>
764<\/td>Joanna Wiaterek and Jared Perlo<\/td>AI Safety and Security Enable Innovation in Emerging Economies<\/td><\/tr>
767<\/td>Mahdi Dhaini, Tobias M\u00fcller, Roksoliana Rabets and Gjergji Kasneci<\/td>Adoption of Explainable Natural Language Processing: Perspectives from Industry and Academia on Practices and Challenges<\/td><\/tr>
768<\/td>Dawood Wasif, Dian Chen, Sindhuja Madabushi, Nithin Alluru, Terrence Moore and Jin-Hee Cho<\/td>Empirical Analysis of Privacy-Fairness-Accuracy Trade-offs in Federated Learning: A Step Towards Responsible AI<\/td><\/tr>
769<\/td>Mahdi Dhaini, Stephen Meisenbacher, Ege Erdogan, Florian Matthes and Gjergji Kasneci<\/td>When Explainability Meets Privacy: An Investigation at the Intersection of Post-hoc Explainability and Differential Privacy in the Context of Natural Language Processing<\/td><\/tr>
775<\/td>Sophie Morosoli, Emma van der Goot, Valeria Resendez, Claes de Vreese and Natali Helberger<\/td>The Transparency Dilemma: An Experiment on How AI Disclosures Affect Cred-ibility Perceptions and Engagement Across Topics<\/td><\/tr>
777<\/td>Gandalf Nicolas and Aylin Caliskan<\/td>What Are Chatbots\u2019 Stereotypes About? A Data-Driven Analysis of Large Language Models\u2019 Content Associations with Social Categories<\/td><\/tr>
795<\/td>Goda Klumbyt\u0117 and Claude Draude<\/td>Matters of Explanation: Rethinking Explainability with Tangible, Embodied, Material Interactions<\/td><\/tr>
796<\/td>Bhavneet Singh<\/td>Epistemic Destabilization: AI-Driven Knowledge Generation and the Collapse of Validation Systems<\/td><\/tr>
798<\/td>Tamara Paris, Jin L.C. Guo and Ajung Moon<\/td>\u201cOne of Silicon Valley\u2019s Most Divisive Topics\u201d: How the Media Discusses Openness in AI<\/td><\/tr>
799<\/td>Shalaleh Rismani, Renee Shelby, Leah Davis, Negar Rostamzadeh and Ajung Moon<\/td>Measuring What Matters: Connecting AI Ethics Evaluations to System Attributes, Hazards, and Harms<\/td><\/tr>
800<\/td>Sanika Moharana, Cynthia Bennett, Erin Buehler, Michael Madaio, Vinita Tibdewal and Shaun Kane<\/td>\u201cAccessibility people, you go work on that thing of yours over there\u201d: Addressing Disability Inclusion in AI Product Organizations<\/td><\/tr>
805<\/td>Kyra Wilson, Sourojit Ghosh and Aylin Caliskan<\/td>Bias Amplification in Stable Diffusion\u2019s Representation of Stigma Through Skin Tones and Their Homogeneity<\/td><\/tr>
809<\/td>Jan Batzner, Volker Stocker, Bingjun Tang, Anusha Natarajan, Qinhao Chen, Stefan Schmid and Gjergji Kasneci<\/td>Whose Personae? Synthetic Persona Experiments in LLM Research and Pathways to Transparency<\/td><\/tr>
813<\/td>Rashid Mushkani, Hugo Berard, Toumadher Ammar, Cassandre Chatonnier and Shin Koseki<\/td>Co\u2011producing AI: Toward an Augmented, Participatory Lifecycle<\/td><\/tr>
815<\/td>Santhosh G S, Akshay Govind S, Gokul S Krishnan, Balaraman Ravindran and Sriraam Natarajan<\/td>IndiCASA: A Dataset and Bias Evaluation Framework for LLMs Using Contrastive Embedding Similarity in the Indian Context<\/td><\/tr>
817<\/td>Joe Germino, Yuying Zhao, Tyler Derr, Nuno Moniz and Nitesh V. Chawla<\/td>Explanation Difference: Bridging Procedural and Distributional Fairness<\/td><\/tr>
823<\/td>Hamza Belgroun, Franck Michel and Fabien Gandon<\/td>No Such Thing as Free Brain Time: For a Pigouvian Tax on Attention Capture<\/td><\/tr>
828<\/td>Jeffrey Keithley, Madeline Bonner and Sriram V. Pemmaraju<\/td>Models and Algorithms for Balancing Efficiency and Equity in Vaccine Allocation<\/td><\/tr>
834<\/td>An Thi Nguyen, Radina Stoykova and Eric Arazo<\/td>Emergent AI Surveillance: Overlearned Person Re-Identification and Its Mitigation in Law Enforcement Context<\/td><\/tr>
844<\/td>Princessa Cintaqia, Arshia Arya, Elissa M. Redmiles, Deepak Kumar, Allison McDonald and Lucy Qin<\/td>Abuse in the Name of “Safety”: Stop the Non-consensual Use of Intimate Images in Research<\/td><\/tr>
863<\/td>Chengyuan Yao, Yunxuan Tang, Christopher Brooks, Rene Kizilcec and Renzhe Yu<\/td>When the Past Misleads: Rethinking Training Data Expansion Under Temporal Distribution Shifts<\/td><\/tr>
870<\/td>Chee Hae Chung and Daniel Schiff<\/td>AI and the Social Contract<\/td><\/tr>
876<\/td>Yifan Zhang, Harini Suresh and Julia Netter<\/td>Designing Stakeholder-Based Pedagogy for AI Ethics Education: Insights from a Multi-Institutional Case Study<\/td><\/tr>
879<\/td>Minsol Kim, Wendy Wang, Rosalind Picard, Nathan Barczi, Jennifer Long and Pattie Maes<\/td>Designing for Reflective Agency: Ethical and Empirical Frameworks in AI Journaling<\/td><\/tr>
882<\/td>Evan Shieh, Faye Marie Vassel, Cassidy Sugimoto and Thema Monroe-White<\/td>Laissez-Faire Harms: Algorithmic Biases in Generative Language Models<\/td><\/tr>
884<\/td>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<\/td>Understanding Privacy Norms Around LLM-Based Chatbots: A Contextual Integrity Perspective<\/td><\/tr>
886<\/td>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<\/td>Do students rely on AI? Analysis of student-ChatGPT conversations from a field study<\/td><\/tr>
887<\/td>Tanusree Sharma, Yihao Zhou and Visar Berisha<\/td>PRAC3 (Privacy, Reputation, Accountability, Consent, Credit, Compensation): Voice Actors in AI Data-economy<\/td><\/tr>
896<\/td>Frederick Awuah-Gyasi and Trilce Estrada<\/td>AI-OCI: A Novel Framework for Assessing AI\u2019s Workforce Impact Using LLMs<\/td><\/tr>
898<\/td>Greta Timaite and Michael Castelle<\/td>Agents without Agency: Anthropological and Sociological Lessons for Contemporary AI Research and Policy<\/td><\/tr>
900<\/td>Robert Wolfe, Aayushi Dangol, Jaewon Kim and Alexis Hiniker<\/td>Toward Nonviolent Design: Co-Designing a Human-Centered Framework for AI-Mediated Communication<\/td><\/tr>
901<\/td>Shreeyash Gowaikar, Hugo Berard, Rashid Mushkani and Shin Koseki<\/td>From Efficiency to Equity: Measuring Fairness in Preference Learning<\/td><\/tr>
906<\/td>Mahasweta Chakraborti, Bert Prestoza, Nicholas Vincent, Vladimir Filkov and Seth Frey<\/td>Responsible AI in the OSS: Reconciling Innovation with Risk Assessment and Disclosure<\/td><\/tr>
909<\/td>Pooja S. B. Rao, Laxminarayen Nagarajan Venkatesan, Mauro Cherubini and Dinesh Babu Jayagopi<\/td>Invisible Filters: Cultural Bias in Hiring Evaluations Using Large Language Models<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

Poster Session #<\/strong>4 – Student Papers<\/strong><\/p>\n\n\n\n

10<\/td>Robin Young<\/td>On the Computational, Informational, and Physical Foundations for AI Safety<\/td><\/tr>
26<\/td>Felix Marti-Perez<\/td>Predictability in Autonomous Driving Systems<\/td><\/tr>
76<\/td>Cristopher Rauch<\/td>Precedent-Based Professional Role Ethics for AI Decision Analysis<\/td><\/tr>
45<\/td>Khadija Zanna<\/td>Safe and Explainable Machine Learning for High-Impact Decisions<\/td><\/tr>
51<\/td>Kshitij Kayastha<\/td>Algorithmic Recourse<\/td><\/tr>
30<\/td>Chi Ha Tran<\/td>Bridging Liability Gaps in the Age of AI: The Case for No-Fault Compensation Schemes<\/td><\/tr>
33<\/td>\u00d6znur Uguz<\/td>To Regulate Or To Be Regulated? \u2013 How to Protect the \u2018Freedom of Mind\u2019 Against Emotional AI Surveillance<\/td><\/tr>
65<\/td>Ana Gagua<\/td>Improvising Accountability: The Everyday Governance Work of Responsible AI in the Public Sector<\/td><\/tr>
66<\/td>Samah Kareem<\/td>FATE-Compliant ML Architecture with Blockchain-Verifiable Auditing: A Governance Framework for Ethical Compliance in FinTech<\/td><\/tr><\/tbody><\/table><\/figure>\n","protected":false},"excerpt":{"rendered":"

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 […]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"class_list":["post-2612","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/www.aies-conference.com\/2025\/wp-json\/wp\/v2\/pages\/2612","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.aies-conference.com\/2025\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.aies-conference.com\/2025\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.aies-conference.com\/2025\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.aies-conference.com\/2025\/wp-json\/wp\/v2\/comments?post=2612"}],"version-history":[{"count":18,"href":"https:\/\/www.aies-conference.com\/2025\/wp-json\/wp\/v2\/pages\/2612\/revisions"}],"predecessor-version":[{"id":2746,"href":"https:\/\/www.aies-conference.com\/2025\/wp-json\/wp\/v2\/pages\/2612\/revisions\/2746"}],"wp:attachment":[{"href":"https:\/\/www.aies-conference.com\/2025\/wp-json\/wp\/v2\/media?parent=2612"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}