Table of Contents

• Frontmatter [doi]
• PoliTune: Analyzing the Impact of Data Selection and Fine-Tuning on Economic and Political Biases in Large Language ModelsAhmed Agiza, Mohamed Mostagir, Sherief Reda. 2-12 [doi]
• All Too Human? Mapping and Mitigating the Risk from Anthropomorphic AICanfer Akbulut, Laura Weidinger, Arianna Manzini, Iason Gabriel, Verena Rieser. 13-26 [doi]
• Estimating Weights of Reasons Using Metaheuristics: A Hybrid Approach to Machine EthicsBenoît Alcaraz, Aleks Knoks, David Streit. 27-38 [doi]
• Introducing the AI Governance and Regulatory Archive (AGORA): An Analytic Infrastructure for Navigating the Emerging AI Governance LandscapeZachary Arnold, Daniel S. Schiff, Kaylyn Jackson Schiff, Brian Love, Jennifer Melot, Neha Singh, Lindsay Jenkins, Ashley Lin, Konstantin Pilz, Ogadinma Enweareazu, Tyler Girard. 39-48 [doi]
• Understanding Intrinsic Socioeconomic Biases in Large Language ModelsMina Arzaghi, Florian Carichon, Golnoosh Farnadi. 49-60 [doi]
• Nothing Comes Without Its World - Practical Challenges of Aligning LLMs to Situated Human Values through RLHFAnne Arzberger, Stefan Buijsman, Maria Luce Lupetti, Alessandro Bozzon, Jie Yang 0028. 61-73 [doi]
• Kid-Whisper: Towards Bridging the Performance Gap in Automatic Speech Recognition for Children VS. AdultsAhmed Adel Attia, Jing Liu, Wei Ai 0002, Dorottya Demszky, Carol Y. Espy-Wilson. 74-80 [doi]
• Public Attitudes on Performance for Algorithmic and Human Decision-Makers (Extended Abstract)Kirk Bansak, Elisabeth Paulson. 81 [doi]
• Simulating Policy Impacts: Developing a Generative Scenario Writing Method to Evaluate the Perceived Effects of RegulationJulia Barnett, Kimon Kieslich, Nicholas Diakopoulos. 82-93 [doi]
• The Origin and Opportunities of Developers' Perceived Code Accountability in Open Source AI Software DevelopmentSebastian Clemens Bartsch, Moritz Lother, Jan-Hendrik Schmidt, Martin Adam, Alexander Benlian. 94-106 [doi]
• Gender in Pixels: Pathways to Non-binary Representation in Computer VisionElena Beretta. 107-119 [doi]
• Legal Minds, Algorithmic Decisions: How LLMs Apply Constitutional Principles in Complex ScenariosCamilla Bignotti, Carolina Camassa. 120-130 [doi]
• A Formal Account of Trustworthiness: Connecting Intrinsic and Perceived TrustworthinessPiercosma Bisconti, Letizia Aquilino, Antonella Marchetti, Daniele Nardi. 131-140 [doi]
• Unsocial Intelligence: An Investigation of the Assumptions of AGI DiscourseBorhane Blili-Hamelin, Leif Hancox-Li, Andrew Smart. 141-155 [doi]
• On The Stability of Moral Preferences: A Problem with Computational Elicitation MethodsKyle Boerstler, Vijay Keswani, Lok Chan, Jana Schaich Borg, Vincent Conitzer, Hoda Heidari, Walter Sinnott-Armstrong. 156-167 [doi]
• Co-designing an AI Impact Assessment Report Template with AI Practitioners and AI Compliance ExpertsEdyta Paulina Bogucka, Marios Constantinides, Sanja Scepanovic, Daniele Quercia. 168-180 [doi]
• Foundation Model Transparency ReportsRishi Bommasani, Kevin Klyman, Shayne Longpre, Betty Xiong, Sayash Kapoor, Nestor Maslej, Arvind Narayanan, Percy Liang. 181-195 [doi]
• Ecosystem Graphs: Documenting the Foundation Model Supply ChainRishi Bommasani, Dilara Soylu, Thomas I. Liao, Kathleen A. Creel, Percy Liang. 196-209 [doi]
• Trustworthy Social Bias MeasurementRishi Bommasani, Percy Liang. 210-224 [doi]
• Views on AI Aren't Binary - They're Plural (Extended Abstract)Thorin Bristow, Luke Thorburn, Diana Acosta-Navas. 225 [doi]
• A Qualitative Study on Cultural Hegemony and the Impacts of AIVenetia Brown, Retno Larasati, Aisling Third, Tracie Farrell. 226-238 [doi]
• An FDA for AI? Pitfalls and Plausibility of Approval Regulation for Frontier Artificial IntelligenceDaniel Carpenter, Carson Ezell. 239-254 [doi]
• Why Am I Still Seeing This: Measuring the Effectiveness of Ad Controls and Explanations in AI-Mediated Ad Targeting SystemsJane Castleman, Aleksandra Korolova. 255-266 [doi]
• Coordinated Flaw Disclosure for AI: Beyond Security VulnerabilitiesSven Cattell, Avijit Ghosh, Lucie-Aimée Kaffee. 267-280 [doi]
• Algorithm-Assisted Decision Making and Racial Disparities in Housing: A Study of the Allegheny Housing Assessment ToolLingwei Cheng, Cameron Drayton, Alexandra Chouldechova, Rhema Vaithianathan. 281-292 [doi]
• Beyond Thumbs Up/Down: Untangling Challenges of Fine-Grained Feedback for Text-to-Image GenerationKatherine M. Collins, Najoung Kim, Yonatan Bitton, Verena Rieser, Shayegan Omidshafiei, Yushi Hu, Sherol Chen, Senjuti Dutta, Minsuk Chang, Kimin Lee, Youwei Liang, Georgina Evans, Sahil Singla 0005, Gang Li, Adrian Weller, Junfeng He, Deepak Ramachandran, Krishnamurthy Dj Dvijotham. 293-303 [doi]
• MoJE: Mixture of Jailbreak Experts, Naive Tabular Classifiers as Guard for Prompt AttacksGiandomenico Cornacchia, Giulio Zizzo, Kieran Fraser, Muhammad Zaid Hameed, Ambrish Rawat, Mark Purcell. 304-315 [doi]
• Sponsored is the New Organic: Implications of Sponsored Results on Quality of Search Results in the Amazon MarketplaceAbhisek Dash, Saptarshi Ghosh 0001, Animesh Mukherjee 0001, Abhijnan Chakraborty, Krishna P. Gummadi. 316-327 [doi]
• APPRAISE: a Governance Framework for Innovation with Artificial Intelligence SystemsDiptish Dey, Debarati Bhaumik. 328-340 [doi]
• Scaling Laws Do Not ScaleFernando Diaz, Michael Madaio. 341-357 [doi]
• What Makes An Expert? Reviewing How ML Researchers Define "Expert"Mark Diaz, Angela D. R. Smith. 358-370 [doi]
• SoUnD Framework: Analyzing (So)cial Representation in (Un)structured (D)ataMark Diaz, Sunipa Dev, Emily Reif, Emily Denton, Vinodkumar Prabhakaran. 371-383 [doi]
• Outlier Detection Bias Busted: Understanding Sources of Algorithmic Bias through Data-centric FactorsXueying Ding, Rui Xi, Leman Akoglu. 384-395 [doi]
• Legitimating Emotion Tracking Technologies in Driver Monitoring SystemsAaron Doerfler, Luke Stark. 396-410 [doi]
• Representation Magnitude Has a Liability to Privacy VulnerabilityXingli Fang, Jung-Eun Kim. 411-420 [doi]
• Red-Teaming for Generative AI: Silver Bullet or Security Theater?Michael Feffer, Anusha Sinha, Wesley H. Deng, Zachary C. Lipton, Hoda Heidari. 421-437 [doi]
• How Should AI Decisions Be Explained? Requirements for Explanations from the Perspective of European LawBenjamin Frész, Elena Dubovitskaya, Danilo Brajovic, Marco F. Huber, Christian Horz. 438-450 [doi]
• Surviving in Diverse Biases: Unbiased Dataset Acquisition in Online Data Market for Fair Model TrainingJiashi Gao, Ziwei Wang, Xiangyu Zhao 0001, Xin Yao 0001, Xuetao Wei. 451-462 [doi]
• "I Don't See Myself Represented Here at All": User Experiences of Stable Diffusion Outputs Containing Representational Harms across Gender Identities and NationalitiesSourojit Ghosh, Nina Lutz, Aylin Caliskan. 463-475 [doi]
• Do Generative AI Models Output Harm while Representing Non-Western Cultures: Evidence from A Community-Centered ApproachSourojit Ghosh, Pranav Narayanan Venkit, Sanjana Gautam, Shomir Wilson, Aylin Caliskan. 476-489 [doi]
• Interpretations, Representations, and Stereotypes of Caste within Text-to-Image GeneratorsSourojit Ghosh. 490-502 [doi]
• The PPOu Framework: A Structured Approach for Assessing the Likelihood of Malicious Use of Advanced AI SystemsJosh A. Goldstein, Girish Sastry. 503-518 [doi]
• Risks from Language Models for Automated Mental Healthcare: Ethics and Structure for Implementation (Extended Abstract)Declan Grabb, Max Lamparth, Nina Vasan. 519 [doi]
• Compassionate AI for Moral Decision-Making, Health, and Well-BeingMark Graves, Jane Compson. 520-533 [doi]
• A Conceptual Framework for Ethical Evaluation of Machine Learning SystemsNeha R. Gupta, Jessica Hullman, Hariharan Subramonyam. 534-546 [doi]
• Identifying Implicit Social Biases in Vision-Language ModelsKimia Hamidieh, Haoran Zhang 0003, Walter Gerych, Thomas Hartvigsen, Marzyeh Ghassemi. 547-561 [doi]
• A Causal Framework to Evaluate Racial Bias in Law Enforcement SystemsJessy Xinyi Han, Andrew Cesare Miller, S. Craig Watkins, Christopher Winship, Fotini Christia, Devavrat Shah. 562-572 [doi]
• Contributory Injustice, Epistemic Calcification and the Use of AI Systems in HealthcareMahi Hardalupas. 573-583 [doi]
• ExploreGen: Large Language Models for Envisioning the Uses and Risks of AI TechnologiesViviane Herdel, Sanja Scepanovic, Edyta Paulina Bogucka, Daniele Quercia. 584-596 [doi]
• What's Distributive Justice Got to Do with It? Rethinking Algorithmic Fairness from a Perspective of Approximate JusticeCorinna Hertweck, Christoph Heitz, Michele Loi. 597-608 [doi]
• Afrofuturist Values for the Metaverse (Extended Abstract)Theresa Hice-Fromille, Sarah Papazoglakis. 609 [doi]
• The Ethico-Politics of Design Toolkits: Responsible AI Tools, From Big Tech Guidelines to Feminist Ideation Cards (Extended Abstract)Tomasz Hollanek. 610 [doi]
• LLM Platform Security: Applying a Systematic Evaluation Framework to OpenAI's ChatGPT PluginsUmar Iqbal 0002, Tadayoshi Kohno, Franziska Roesner. 611-623 [doi]
• As an AI Language Model, "Yes I Would Recommend Calling the Police": Norm Inconsistency in LLM Decision-MakingShomik Jain, Dana Calacci, Ashia Wilson. 624-633 [doi]
• Breaking the Global North Stereotype: A Global South-centric Benchmark Dataset for Auditing and Mitigating Biases in Facial Recognition SystemsSiddharth D. Jaiswal, Animesh Ganai, Abhisek Dash, Saptarshi Ghosh 0001, Animesh Mukherjee 0001. 634-646 [doi]
• Reflection of Its Creators: Qualitative Analysis of General Public and Expert Perceptions of Artificial IntelligenceTheodore Jensen, Mary Theofanos, Kristen K. Greene, Olivia Williams, Kurtis Goad, Janet Bih Fofang. 647-658 [doi]
• Virtual Assistants Are Unlikely to Reduce Patient Non-DisclosureCorinne Jorgenson, Ali Ihsan Ozkes, Jurgen Willems, Dieter Vanderelst. 659-669 [doi]
• Do Responsible AI Artifacts Advance Stakeholder Goals? Four Key Barriers Perceived by Legal and Civil StakeholdersAnna Kawakami, Daricia Wilkinson, Alexandra Chouldechova. 670-682 [doi]
• AI Failure Loops in Feminized Labor: Understanding the Interplay of Workplace AI and Occupational DevaluationAnna Kawakami, Jordan Taylor, Sarah E. Fox, Haiyi Zhu, Ken Holstein. 683 [doi]
• Epistemic Injustice in Generative AIJackie Kay, Atoosa Kasirzadeh, Shakir Mohamed. 684-697 [doi]
• Vernacularizing Taxonomies of Harm is Essential for Operationalizing Holistic AI SafetyWm. Matthew Kennedy, Daniel Vargas Campos. 698-710 [doi]
• On the Pros and Cons of Active Learning for Moral Preference ElicitationVijay Keswani, Vincent Conitzer, Hoda Heidari, Jana Schaich Borg, Walter Sinnott-Armstrong. 711-723 [doi]
• Algorithmic Fairness From the Perspective of Legal Anti-discrimination PrinciplesVijay Keswani, L. Elisa Celis. 724-737 [doi]
• What's Your Stake in Sustainability of AI?: An Informed Insider's GuideGrace C. Kim, Annabel Rothschild, Carl DiSalvo, Betsy DiSalvo. 738-750 [doi]
• Anticipating the Risks and Benefits of Counterfactual World Simulation Models (Extended Abstract)Lara Kirfel, Rob MacCoun, Thomas Icard, Tobias Gerstenberg. 751 [doi]
• Acceptable Use Policies for Foundation ModelsKevin Klyman. 752-767 [doi]
• Responsible Reporting for Frontier AI DevelopmentNoam Kolt, Markus Anderljung, Joslyn Barnhart, Asher Brass, Kevin Esvelt, Gillian K. Hadfield, Lennart Heim, Mikel Rodriguez, Jonas B. Sandbrink, Thomas Woodside. 768-783 [doi]
• On the Trade-offs between Adversarial Robustness and Actionable ExplanationsSatyapriya Krishna, Chirag Agarwal, Himabindu Lakkaraju. 784-795 [doi]
• Observing Context Improves Disparity Estimation when Race is UnobservedKweku Kwegyir-Aggrey, Naveen Durvasula, Jennifer Wang, Suresh Venkatasubramanian. 796-806 [doi]
• Human vs. Machine: Behavioral Differences between Expert Humans and Language Models in Wargame SimulationsMax Lamparth, Anthony Corso 0001, Jacob Ganz, Oriana Skylar Mastro, Jacquelyn Schneider, Harold Trinkunas. 807-817 [doi]
• Racial and Neighborhood Disparities in Legal Financial Obligations in Jefferson County, AlabamaÓscar Lara Yejas, Aakanksha Joshi, Andrew Martinez, Leah Nelson, Skyler Speakman, Krysten Thompson, Yuki Nishimura, Jordan Bond, Kush R. Varshney. 818-827 [doi]
• Compute North vs. Compute South: The Uneven Possibilities of Compute-based AI Governance Around the GlobeVili Lehdonvirta, Boxi Wu, Zoe Hawkins. 828-838 [doi]
• How Are LLMs Mitigating Stereotyping Harms? Learning from Search Engine StudiesAlina Leidinger, Richard Rogers. 839-854 [doi]
• On Feasibility of Intent Obfuscating AttacksZhaobin Li, Patrick Shafto. 855-866 [doi]
• "Democratizing AI" and the Concern of Algorithmic Injustice (Extended Abstract)Ting-An Lin. 867 [doi]
• Foundations for Unfairness in Anomaly Detection - Case Studies in Facial Imaging DataMichael J. Livanos, Ian Davidson. 868-877 [doi]
• Uncovering the Gap: Challeging the Agential Nature of AI Responsibility Problems (Extended Abstract)Joan Llorca Albareda. 878 [doi]
• Examining the Behavior of LLM Architectures Within the Framework of Standardized National Exams in BrazilMarcelo Sartori Locatelli, Matheus Prado Miranda, Igor Joaquim da Silva Costa, Matheus Torres Prates, Victor Thomé, Mateus Zaparoli Monteiro, Tomas Lacerda, Adriana S. Pagano, Eduardo Rios Neto, Wagner Meira Jr., Virgílio A. F. Almeida. 879-890 [doi]
• Social Scoring Systems for Behavioral Regulation: An Experiment on the Role of Transparency in Determining Perceptions and BehaviorsCarmen Loefflad, Mo Chen, Jens Grossklags. 891-904 [doi]
• Foregrounding Artist Opinions: A Survey Study on Transparency, Ownership, and Fairness in AI Generative ArtJuniper L. Lovato, Julia Witte Zimmerman, Isabelle Smith, Peter Dodds, Jennifer L. Karson. 905-916 [doi]
• Navigating Governance Paradigms: A Cross-Regional Comparative Study of Generative AI Governance Processes & PrinciplesJose Luna, Ivan Tan, Xiaofei Xie, Lingxiao Jiang. 917-931 [doi]
• Beyond Participatory AIJonne Maas, Aarón Moreno Inglés. 932-942 [doi]
• The Code That Binds Us: Navigating the Appropriateness of Human-AI Assistant RelationshipsArianna Manzini, Geoff Keeling, Lize Alberts, Shannon Vallor, Meredith Ringel Morris, Iason Gabriel. 943-957 [doi]
• Lessons from Clinical Communications for Explainable AIAlka V. Menon, Zahra Abba Omar, Nadia Nahar, Xenophon Papademetris, Lynn E. Fiellin, Christian Kästner. 958-970 [doi]
• Pay Attention: a Call to Regulate the Attention Market and Prevent Algorithmic Emotional GovernanceFranck Michel, Fabien Gandon. 971-983 [doi]
• LLMs and Memorization: On Quality and Specificity of Copyright ComplianceFelix B. Mueller, Rebekka Görge, Anna K. Bernzen, Janna C. Pirk, Maximilian Poretschkin. 984-996 [doi]
• Particip-AI: A Democratic Surveying Framework for Anticipating Future AI Use Cases, Harms and BenefitsJimin Mun, Liwei Jiang, Jenny T. Liang, Inyoung Cheong, Nicole DeCario, Yejin Choi 0001, Tadayoshi Kohno, Maarten Sap. 997-1010 [doi]
• Quantifying Gendered Citation Imbalance in Computer Science ConferencesKazuki Nakajima, Yuya Sasaki 0001, Sohei Tokuno, George Fletcher 0001. 1011-1022 [doi]
• Habemus a Right to an Explanation: so What? - A Framework on Transparency-Explainability Functionality and Tensions in the EU AI ActLuca Nannini. 1023-1035 [doi]
• Human-Centered AI Applications for Canada's Immigration Settlement SectorIsar Nejadgholi, Maryam Molamohammadi, Kimiya Missaghi, Samir Bakhtawar. 1036-1050 [doi]
• AIDE: Antithetical, Intent-based, and Diverse Example-Based ExplanationsIkhtiyor Nematov, Dimitris Sacharidis, Katja Hose, Tomer Sagi. 1051-1062 [doi]
• Measuring Human-AI Value Alignment in Large Language ModelsHakim Norhashim, Jungpil Hahn. 1063-1073 [doi]
• Are Large Language Models Moral Hypocrites? A Study Based on Moral FoundationsJosé Luiz Nunes, Guilherme F. C. F. Almeida, Marcelo de Araújo, Simone D. J. Barbosa. 1074-1087 [doi]
• Hidden or Inferred: Fair Learning-To-Rank With Unknown DemographicsOluseun Olulana, Kathleen Cachel, Fabricio Murai, Elke A. Rundensteiner. 1088-1099 [doi]
• Perception of Experience Influences Altruism and Perception of Agency Influences Trust in Human-Machine Interactions (Extended Abstract)Mayada Oudah, Kinga Makovi, Kurt Gray, Balaraju Battu, Talal Rahwan. 1100 [doi]
• Face the Facts: Using Face Averaging to Visualize Gender-by-Race Bias in Facial Analysis AlgorithmsKentrell Owens, Erin Freiburger, Ryan Hutchings, Mattea Sim, Kurt Hugenberg, Franziska Roesner, Tadayoshi Kohno. 1101-1111 [doi]
• Proxy Fairness under the European Data Protection Regulation and the AI Act: A Perspective of Sensitivity and NecessityIoanna Papageorgiou. 1112-1122 [doi]
• A Model- and Data-Agnostic Debiasing System for Achieving Equalized OddsThomas Pinkava, Jack W. McFarland, Afra Mashhadi. 1123-1131 [doi]
• CIVICS: Building a Dataset for Examining Culturally-Informed Values in Large Language ModelsGiada Pistilli, Alina Leidinger, Yacine Jernite, Atoosa Kasirzadeh, Alexandra Sasha Luccioni, Margaret Mitchell. 1132-1144 [doi]
• Disengagement through Algorithms: How Traditional Organizations Aim for Experts' SatisfactionJérémie Poiroux. 1145-1156 [doi]
• Not Oracles of the Battlefield: Safety Considerations for AI-Based Military Decision Support SystemsEmelia Probasco, Matthew Burtell, Helen Toner, Tim G. J. Rudner. 1157-1165 [doi]
• What to Trust When We Trust Artificial Intelligence (Extended Abstract)Duncan Purves, Schuyler Sturm, John Madock. 1166 [doi]
• PPS: Personalized Policy Summarization for Explaining Sequential Behavior of Autonomous AgentsPeizhu Qian, Harrison Huang, Vaibhav V. Unhelkar. 1167-1179 [doi]
• Breaking Bias, Building Bridges: Evaluation and Mitigation of Social Biases in LLMs via Contact HypothesisChahat Raj, Anjishnu Mukherjee, Aylin Caliskan, Antonios Anastasopoulos, Ziwei Zhu 0001. 1180-1189 [doi]
• Learning When Not to Measure: Theorizing Ethical Alignment in LLMsWilliam Rathje. 1190-1199 [doi]
• Gaps in the Safety Evaluation of Generative AIMaribeth Rauh, Nahema Marchal, Arianna Manzini, Lisa Anne Hendricks, Ramona Comanescu, Canfer Akbulut, Tom Stepleton, Juan Mateos-Garcia, A. Stevie Bergman, Jackie Kay, Conor Griffin, Ben Bariach, Iason Gabriel, Verena Rieser, William Isaac 0001, Laura Weidinger. 1200-1217 [doi]
• Fairness in Reinforcement Learning: A SurveyAnka Reuel, Devin Ma. 1218-1230 [doi]
• A Human-in-the-Loop Fairness-Aware Model Selection Framework for Complex Fairness Objective LandscapesJake Robertson, Thorsten Schmidt, Frank Hutter, Noor H. Awad. 1231-1242 [doi]
• Introducing ELLIPS: An Ethics-Centered Approach to Research on LLM-Based Inference of Psychiatric ConditionsRoberta Rocca, Giada Pistilli, Kritika Maheshwari, Riccardo Fusaroli. 1243-1254 [doi]
• The Problems with Proxies: Making Data Work Visible through Requester PracticesAnnabel Rothschild, Ding Wang, Niveditha Jayakumar Vilvanathan, Lauren Wilcox, Carl DiSalvo, Betsy DiSalvo. 1255-1268 [doi]
• Reducing Biases towards Minoritized Populations in Medical Curricular Content via Artificial Intelligence for Fairer Health OutcomesChiman Salavati, Shannon Song, Willmar Sosa Diaz, Scott A. Hale, Roberto E. Montenegro, Fabricio Murai, Shiri Dori-Hacohen. 1269-1280 [doi]
• Estimating Environmental Cost Throughout Model's Adaptive Life CycleVishwesh Sangarya, Richard M. Bradford, Jung-Eun Kim. 1281-1291 [doi]
• Algorithms and Recidivism: A Multi-disciplinary Systematic ReviewArul George Scaria, Vidya Subramanian, Nevin K. George, Nandana Sengupta. 1292-1305 [doi]
• What Is Required for Empathic AI? It Depends, and Why That Matters for AI Developers and UsersJana Schaich Borg, Hannah Read. 1306-1318 [doi]
• Annotator in the Loop: A Case Study of In-Depth Rater Engagement to Create a Prosocial Benchmark DatasetSonja Schmer-Galunder, Ruta Wheelock, Zaria Jalan, Alyssa Chvasta, Scott Friedman 0001, Emily Saltz. 1319-1328 [doi]
• The Impact of Responsible AI Research on Innovation and DevelopmentAli Akbar Septiandri, Marios Constantinides, Daniele Quercia. 1329-1342 [doi]
• Trusting Your AI Agent Emotionally and Cognitively: Development and Validation of a Semantic Differential Scale for AI TrustRuoxi Shang, Gary Hsieh, Chirag Shah 0001. 1343-1356 [doi]
• Automating Transparency Mechanisms in the Judicial System Using LLMs: Opportunities and ChallengesIshana Shastri, Shomik Jain, Barbara Engelhardt, Ashia Wilson. 1357-1367 [doi]
• Formal Ethical Obligations in Reinforcement Learning Agents: Verification and Policy UpdatesColin Shea-Blymyer, Houssam Abbas. 1368-1378 [doi]
• Individual Fairness in Graphs Using Local and Global Structural InformationYonas Sium, Qi Li 0012, Kush R. Varshney. 1379-1389 [doi]
• Fairness in AI-Based Mental Health: Clinician Perspectives and Bias MitigationGizem Sogancioglu, Pablo Mosteiro, Albert Ali Salah, Floortje Scheepers, Heysem Kaya. 1390-1400 [doi]
• Public vs Private Bodies: Who Should Run Advanced AI Evaluations and Audits? A Three-Step Logic Based on Case Studies of High-Risk IndustriesMerlin Stein, Milan Gandhi, Theresa Kriecherbauer, Amin Oueslati, Robert Trager. 1401-1415 [doi]
• Surveys Considered Harmful? Reflecting on the Use of Surveys in AI Research, Development, and GovernanceMohammad Tahaei, Daricia Wilkinson, Alisa Frik, Michael Muller, Ruba Abu-Salma, Lauren Wilcox. 1416-1433 [doi]
• Enhancing Equitable Access to AI in Housing and Homelessness System of Care through Federated LearningMusa Taib, Jiajun Wu 0017, Steve Drew, Geoffrey G. Messier. 1434-1443 [doi]
• Dynamics of Moral Behavior in Heterogeneous Populations of Learning AgentsElizaveta Tennant, Stephen Hailes, Mirco Musolesi. 1444-1454 [doi]
• Misrepresented Technological Solutions in Imagined Futures: The Origins and Dangers of AI Hype in the Research CommunitySavannah Thais. 1455-1465 [doi]
• The Supply Chain Capitalism of AI: A Call to (Re)think Algorithmic Harms and Resistance (Extended Abstract)Ana Valdivia. 1466 [doi]
• Decolonial AI Alignment: Openness, Visesa-Dharma, and Including Excluded KnowledgesKush R. Varshney. 1467-1481 [doi]
• Medical AI, Categories of Value Conflict, and Conflict BypassesGavin Victor, Jean-Christophe Bélisle-Pipon. 1482-1489 [doi]
• Decoding Multilingual Moral Preferences: Unveiling LLM's Biases through the Moral Machine ExperimentKarina Vida, Fabian Damken, Anne Lauscher. 1490-1501 [doi]
• PICE: Polyhedral Complex Informed Counterfactual ExplanationsMattia Jacopo Villani, Emanuele Albini, Shubham Sharma, Saumitra Mishra, Salim Ibrahim Amoukou, Daniele Magazzeni, Manuela Veloso. 1502-1513 [doi]
• Strategies for Increasing Corporate Responsible AI PrioritizationAngelina Wang, Teresa Datta, John P. Dickerson. 1514-1526 [doi]
• Operationalizing Content Moderation "Accuracy" in the Digital Services ActJohnny Tian-Zheng Wei, Frederike Zufall, Robin Jia. 1527-1538 [doi]
• How Do AI Companies "Fine-Tune" Policy? Examining Regulatory Capture in AI GovernanceKevin Wei, Carson Ezell, Nick Gabrieli, Chinmay Deshpande. 1539-1555 [doi]
• Automate or Assist? The Role of Computational Models in Identifying Gendered Discourse in US Capital Trial TranscriptsAndrea W. Wen-Yi, Kathryn Adamson, Nathalie Greenfield, Rachel Goldberg, Sandra Babcock, David Mimno, Allison Koenecke. 1556-1566 [doi]
• A Relational Justification of AI DemocratizationBauke Wielinga, Stefan Buijsman. 1567-1577 [doi]
• Gender, Race, and Intersectional Bias in Resume Screening via Language Model RetrievalKyra Wilson, Aylin Caliskan. 1578-1590 [doi]
• When and Why is Persuasion Hard? A Computational Complexity ResultZachary Wojtowicz. 1591-1594 [doi]
• The Implications of Open Generative Models in Human-Centered Data Science Work: A Case Study with Fact-Checking OrganizationsRobert Wolfe, Tanushree Mitra. 1595-1607 [doi]
• ML-EAT: A Multilevel Embedding Association Test for Interpretable and Transparent Social ScienceRobert Wolfe, Alexis Hiniker, Bill Howe. 1608-1620 [doi]
• Representation Bias of Adolescents in AI: A Bilingual, Bicultural StudyRobert Wolfe, Aayushi Dangol, Bill Howe, Alexis Hiniker. 1621-1634 [doi]
• Dataset Scale and Societal Consistency Mediate Facial Impression Bias in Vision-Language AIRobert Wolfe, Aayushi Dangol, Alexis Hiniker, Bill Howe. 1635-1647 [doi]
• Stable Diffusion Exposed: Gender Bias from Prompt to ImageYankun Wu, Yuta Nakashima, Noa Garcia. 1648-1659 [doi]
• Non-linear Welfare-Aware Strategic LearningTian Xie, Xueru Zhang. 1660-1671 [doi]
• Algorithmic Decision-Making under Agents with Persistent ImprovementTian Xie, Xuwei Tan, Xueru Zhang. 1672-1683 [doi]
• Tracing the Evolution of Information Transparency for OpenAI's GPT Models through a Biographical ApproachZhihan Xu, Eni Mustafaraj. 1684-1695 [doi]
• LLM Voting: Human Choices and AI Collective Decision-MakingJoshua C. Yang, Damian Dailisan, Marcin Korecki, Carina I. Hausladen, Dirk Helbing. 1696-1708 [doi]
• You Still See Me: How Data Protection Supports the Architecture of AI SurveillanceRui-Jie Yew, Lucy Qin, Suresh Venkatasubramanian. 1709-1722 [doi]
• Mitigating Urban-Rural Disparities in Contrastive Representation Learning with Satellite ImageryMiao Zhang, Rumi Chunara. 1723-1734 [doi]
• Ontology of Belief Diversity: A Community-Based Epistemological ApproachRichard Zhang 0003, Erin Van Liemt, Tyler Fischella. 1735-1743 [doi]