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ORCIDAIES 2024: San Jose, CA, USA
- Sanmay Das, Brian Patrick Green, Kush Varshney, Marianna Ganapini, Andrea Renda:
Proceedings of the Seventh AAAI/ACM Conference on AI, Ethics, and Society (AIES-24) - Full Archival Papers, October 21-23, 2024, San Jose, California, USA - Volume 1. AAAI Press 2024 - Frontmatter.
Full Archival Papers
- Ahmed Agiza, Mohamed Mostagir, Sherief Reda:
PoliTune: Analyzing the Impact of Data Selection and Fine-Tuning on Economic and Political Biases in Large Language Models. 2-12 - Canfer Akbulut, Laura Weidinger, Arianna Manzini, Iason Gabriel, Verena Rieser:
All Too Human? Mapping and Mitigating the Risk from Anthropomorphic AI. 13-26 - Benoît Alcaraz, Aleks Knoks, David Streit:
Estimating Weights of Reasons Using Metaheuristics: A Hybrid Approach to Machine Ethics. 27-38 - Zachary Arnold, Daniel S. Schiff, Kaylyn Jackson Schiff, Brian Love, Jennifer Melot, Neha Singh, Lindsay Jenkins, Ashley Lin, Konstantin Pilz, Ogadinma Enweareazu, Tyler Girard:
Introducing the AI Governance and Regulatory Archive (AGORA): An Analytic Infrastructure for Navigating the Emerging AI Governance Landscape. 39-48 - Mina Arzaghi, Florian Carichon, Golnoosh Farnadi:
Understanding Intrinsic Socioeconomic Biases in Large Language Models. 49-60 - Anne Arzberger, Stefan Buijsman, Maria Luce Lupetti, Alessandro Bozzon, Jie Yang:
Nothing Comes Without Its World - Practical Challenges of Aligning LLMs to Situated Human Values through RLHF. 61-73 - Ahmed Adel Attia, Jing Liu
, Wei Ai, Dorottya Demszky, Carol Y. Espy-Wilson:
Kid-Whisper: Towards Bridging the Performance Gap in Automatic Speech Recognition for Children VS. Adults. 74-80 - Kirk Bansak, Elisabeth Paulson:
Public Attitudes on Performance for Algorithmic and Human Decision-Makers (Extended Abstract). 81 - Julia Barnett, Kimon Kieslich, Nicholas Diakopoulos:
Simulating Policy Impacts: Developing a Generative Scenario Writing Method to Evaluate the Perceived Effects of Regulation. 82-93 - Sebastian Clemens Bartsch, Moritz Lother, Jan-Hendrik Schmidt, Martin Adam, Alexander Benlian:
The Origin and Opportunities of Developers' Perceived Code Accountability in Open Source AI Software Development. 94-106 - Elena Beretta:
Gender in Pixels: Pathways to Non-binary Representation in Computer Vision. 107-119 - Camilla Bignotti, Carolina Camassa:
Legal Minds, Algorithmic Decisions: How LLMs Apply Constitutional Principles in Complex Scenarios. 120-130 - Piercosma Bisconti, Letizia Aquilino, Antonella Marchetti, Daniele Nardi:
A Formal Account of Trustworthiness: Connecting Intrinsic and Perceived Trustworthiness. 131-140 - Borhane Blili-Hamelin, Leif Hancox-Li, Andrew Smart:
Unsocial Intelligence: An Investigation of the Assumptions of AGI Discourse. 141-155 - Kyle Boerstler, Vijay Keswani, Lok Chan, Jana Schaich Borg, Vincent Conitzer, Hoda Heidari, Walter Sinnott-Armstrong:
On The Stability of Moral Preferences: A Problem with Computational Elicitation Methods. 156-167 - Edyta Paulina Bogucka, Marios Constantinides, Sanja Scepanovic, Daniele Quercia:
Co-designing an AI Impact Assessment Report Template with AI Practitioners and AI Compliance Experts. 168-180 - Rishi Bommasani, Kevin Klyman, Shayne Longpre, Betty Xiong, Sayash Kapoor, Nestor Maslej, Arvind Narayanan, Percy Liang:
Foundation Model Transparency Reports. 181-195 - Rishi Bommasani, Dilara Soylu, Thomas I. Liao, Kathleen A. Creel, Percy Liang:
Ecosystem Graphs: Documenting the Foundation Model Supply Chain. 196-209 - Rishi Bommasani, Percy Liang:
Trustworthy Social Bias Measurement. 210-224 - Thorin Bristow, Luke Thorburn, Diana Acosta-Navas:
Views on AI Aren't Binary - They're Plural (Extended Abstract). 225 - Venetia Brown, Retno Larasati, Aisling Third, Tracie Farrell:
A Qualitative Study on Cultural Hegemony and the Impacts of AI. 226-238 - Daniel Carpenter, Carson Ezell:
An FDA for AI? Pitfalls and Plausibility of Approval Regulation for Frontier Artificial Intelligence. 239-254 - Jane Castleman, Aleksandra Korolova:
Why Am I Still Seeing This: Measuring the Effectiveness of Ad Controls and Explanations in AI-Mediated Ad Targeting Systems. 255-266 - Sven Cattell, Avijit Ghosh, Lucie-Aimée Kaffee:
Coordinated Flaw Disclosure for AI: Beyond Security Vulnerabilities. 267-280 - Lingwei Cheng, Cameron Drayton, Alexandra Chouldechova, Rhema Vaithianathan:
Algorithm-Assisted Decision Making and Racial Disparities in Housing: A Study of the Allegheny Housing Assessment Tool. 281-292 - Katherine 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, Gang Li, Adrian Weller, Junfeng He, Deepak Ramachandran, Krishnamurthy Dj Dvijotham:
Beyond Thumbs Up/Down: Untangling Challenges of Fine-Grained Feedback for Text-to-Image Generation. 293-303 - Giandomenico Cornacchia, Giulio Zizzo, Kieran Fraser, Muhammad Zaid Hameed, Ambrish Rawat, Mark Purcell:
MoJE: Mixture of Jailbreak Experts, Naive Tabular Classifiers as Guard for Prompt Attacks. 304-315 - Abhisek Dash, Saptarshi Ghosh, Animesh Mukherjee, Abhijnan Chakraborty, Krishna P. Gummadi:
Sponsored is the New Organic: Implications of Sponsored Results on Quality of Search Results in the Amazon Marketplace. 316-327 - Diptish Dey, Debarati Bhaumik:
APPRAISE: a Governance Framework for Innovation with Artificial Intelligence Systems. 328-340 - Fernando Diaz, Michael Madaio:
Scaling Laws Do Not Scale. 341-357 - Mark Diaz, Angela D. R. Smith:
What Makes An Expert? Reviewing How ML Researchers Define "Expert". 358-370 - Mark Diaz, Sunipa Dev, Emily Reif, Emily Denton, Vinodkumar Prabhakaran:
SoUnD Framework: Analyzing (So)cial Representation in (Un)structured (D)ata. 371-383 - Xueying Ding, Rui Xi, Leman Akoglu:
Outlier Detection Bias Busted: Understanding Sources of Algorithmic Bias through Data-centric Factors. 384-395 - Aaron Doerfler, Luke Stark:
Legitimating Emotion Tracking Technologies in Driver Monitoring Systems. 396-410 - Xingli Fang, Jung-Eun Kim:
Representation Magnitude Has a Liability to Privacy Vulnerability. 411-420 - Michael Feffer, Anusha Sinha, Wesley H. Deng, Zachary C. Lipton, Hoda Heidari:
Red-Teaming for Generative AI: Silver Bullet or Security Theater? 421-437 - Benjamin Frész, Elena Dubovitskaya, Danilo Brajovic, Marco F. Huber, Christian Horz:
How Should AI Decisions Be Explained? Requirements for Explanations from the Perspective of European Law. 438-450 - Jiashi Gao, Ziwei Wang, Xiangyu Zhao, Xin Yao, Xuetao Wei:
Surviving in Diverse Biases: Unbiased Dataset Acquisition in Online Data Market for Fair Model Training. 451-462 - Sourojit Ghosh, Nina Lutz, Aylin Caliskan:
"I Don't See Myself Represented Here at All": User Experiences of Stable Diffusion Outputs Containing Representational Harms across Gender Identities and Nationalities. 463-475 - Sourojit Ghosh, Pranav Narayanan Venkit, Sanjana Gautam, Shomir Wilson, Aylin Caliskan:
Do Generative AI Models Output Harm while Representing Non-Western Cultures: Evidence from A Community-Centered Approach. 476-489 - Sourojit Ghosh:
Interpretations, Representations, and Stereotypes of Caste within Text-to-Image Generators. 490-502 - Josh A. Goldstein, Girish Sastry:
The PPOu Framework: A Structured Approach for Assessing the Likelihood of Malicious Use of Advanced AI Systems. 503-518 - Declan Grabb, Max Lamparth, Nina Vasan:
Risks from Language Models for Automated Mental Healthcare: Ethics and Structure for Implementation (Extended Abstract). 519 - Mark Graves, Jane Compson:
Compassionate AI for Moral Decision-Making, Health, and Well-Being. 520-533 - Neha R. Gupta, Jessica Hullman, Hariharan Subramonyam:
A Conceptual Framework for Ethical Evaluation of Machine Learning Systems. 534-546 - Kimia Hamidieh, Haoran Zhang, Walter Gerych, Thomas Hartvigsen, Marzyeh Ghassemi:
Identifying Implicit Social Biases in Vision-Language Models. 547-561 - Jessy Xinyi Han, Andrew Cesare Miller, S. Craig Watkins, Christopher Winship, Fotini Christia, Devavrat Shah:
A Causal Framework to Evaluate Racial Bias in Law Enforcement Systems. 562-572 - Mahi Hardalupas:
Contributory Injustice, Epistemic Calcification and the Use of AI Systems in Healthcare. 573-583 - Viviane Herdel, Sanja Scepanovic, Edyta Paulina Bogucka, Daniele Quercia:
ExploreGen: Large Language Models for Envisioning the Uses and Risks of AI Technologies. 584-596 - Corinna Hertweck, Christoph Heitz, Michele Loi:
What's Distributive Justice Got to Do with It? Rethinking Algorithmic Fairness from a Perspective of Approximate Justice. 597-608 - Theresa Hice-Fromille, Sarah Papazoglakis:
Afrofuturist Values for the Metaverse (Extended Abstract). 609 - Tomasz Hollanek:
The Ethico-Politics of Design Toolkits: Responsible AI Tools, From Big Tech Guidelines to Feminist Ideation Cards (Extended Abstract). 610 - Umar Iqbal, Tadayoshi Kohno, Franziska Roesner:
LLM Platform Security: Applying a Systematic Evaluation Framework to OpenAI's ChatGPT Plugins. 611-623 - Shomik Jain, Dana Calacci, Ashia Wilson:
As an AI Language Model, "Yes I Would Recommend Calling the Police": Norm Inconsistency in LLM Decision-Making. 624-633 - Siddharth D. Jaiswal, Animesh Ganai, Abhisek Dash, Saptarshi Ghosh, Animesh Mukherjee:
Breaking the Global North Stereotype: A Global South-centric Benchmark Dataset for Auditing and Mitigating Biases in Facial Recognition Systems. 634-646 - Theodore Jensen, Mary Theofanos, Kristen K. Greene, Olivia Williams, Kurtis Goad, Janet Bih Fofang:
Reflection of Its Creators: Qualitative Analysis of General Public and Expert Perceptions of Artificial Intelligence. 647-658 - Corinne Jorgenson, Ali Ihsan Ozkes, Jurgen Willems, Dieter Vanderelst:
Virtual Assistants Are Unlikely to Reduce Patient Non-Disclosure. 659-669 - Anna Kawakami, Daricia Wilkinson, Alexandra Chouldechova:
Do Responsible AI Artifacts Advance Stakeholder Goals? Four Key Barriers Perceived by Legal and Civil Stakeholders. 670-682 - Anna Kawakami, Jordan Taylor, Sarah E. Fox, Haiyi Zhu, Ken Holstein:
AI Failure Loops in Feminized Labor: Understanding the Interplay of Workplace AI and Occupational Devaluation. 683 - Jackie Kay, Atoosa Kasirzadeh, Shakir Mohamed:
Epistemic Injustice in Generative AI. 684-697 - Wm. Matthew Kennedy, Daniel Vargas Campos:
Vernacularizing Taxonomies of Harm is Essential for Operationalizing Holistic AI Safety. 698-710 - Vijay Keswani, Vincent Conitzer, Hoda Heidari, Jana Schaich Borg, Walter Sinnott-Armstrong:
On the Pros and Cons of Active Learning for Moral Preference Elicitation. 711-723 - Vijay Keswani, L. Elisa Celis:
Algorithmic Fairness From the Perspective of Legal Anti-discrimination Principles. 724-737 - Grace C. Kim, Annabel Rothschild, Carl DiSalvo, Betsy DiSalvo:
What's Your Stake in Sustainability of AI?: An Informed Insider's Guide. 738-750 - Lara Kirfel, Rob MacCoun, Thomas Icard, Tobias Gerstenberg:
Anticipating the Risks and Benefits of Counterfactual World Simulation Models (Extended Abstract). 751 - Kevin Klyman:
Acceptable Use Policies for Foundation Models. 752-767 - Noam Kolt, Markus Anderljung, Joslyn Barnhart, Asher Brass, Kevin Esvelt, Gillian K. Hadfield, Lennart Heim, Mikel Rodriguez, Jonas B. Sandbrink, Thomas Woodside:
Responsible Reporting for Frontier AI Development. 768-783 - Satyapriya Krishna, Chirag Agarwal, Himabindu Lakkaraju:
On the Trade-offs between Adversarial Robustness and Actionable Explanations. 784-795 - Kweku Kwegyir-Aggrey, Naveen Durvasula, Jennifer Wang, Suresh Venkatasubramanian:
Observing Context Improves Disparity Estimation when Race is Unobserved. 796-806 - Max Lamparth, Anthony Corso, Jacob Ganz, Oriana Skylar Mastro, Jacquelyn Schneider, Harold Trinkunas:
Human vs. Machine: Behavioral Differences between Expert Humans and Language Models in Wargame Simulations. 807-817 - Óscar Lara Yejas, Aakanksha Joshi, Andrew Martinez, Leah Nelson, Skyler Speakman, Krysten Thompson, Yuki Nishimura, Jordan Bond, Kush R. Varshney:
Racial and Neighborhood Disparities in Legal Financial Obligations in Jefferson County, Alabama. 818-827 - Vili Lehdonvirta, Boxi Wu, Zoe Hawkins:
Compute North vs. Compute South: The Uneven Possibilities of Compute-based AI Governance Around the Globe. 828-838 - Alina Leidinger, Richard Rogers:
How Are LLMs Mitigating Stereotyping Harms? Learning from Search Engine Studies. 839-854 - Zhaobin Li, Patrick Shafto:
On Feasibility of Intent Obfuscating Attacks. 855-866 - Ting-An Lin:
"Democratizing AI" and the Concern of Algorithmic Injustice (Extended Abstract). 867 - Michael J. Livanos, Ian Davidson:
Foundations for Unfairness in Anomaly Detection - Case Studies in Facial Imaging Data. 868-877 - Joan Llorca Albareda:
Uncovering the Gap: Challeging the Agential Nature of AI Responsibility Problems (Extended Abstract). 878 - Marcelo 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:
Examining the Behavior of LLM Architectures Within the Framework of Standardized National Exams in Brazil. 879-890 - Carmen Loefflad, Mo Chen, Jens Grossklags:
Social Scoring Systems for Behavioral Regulation: An Experiment on the Role of Transparency in Determining Perceptions and Behaviors. 891-904 - Juniper L. Lovato, Julia Witte Zimmerman, Isabelle Smith, Peter Dodds, Jennifer L. Karson:
Foregrounding Artist Opinions: A Survey Study on Transparency, Ownership, and Fairness in AI Generative Art. 905-916 - Jose Luna, Ivan Tan, Xiaofei Xie, Lingxiao Jiang:
Navigating Governance Paradigms: A Cross-Regional Comparative Study of Generative AI Governance Processes & Principles. 917-931 - Jonne Maas, Aarón Moreno Inglés:
Beyond Participatory AI. 932-942 - Arianna Manzini, Geoff Keeling, Lize Alberts, Shannon Vallor, Meredith Ringel Morris, Iason Gabriel:
The Code That Binds Us: Navigating the Appropriateness of Human-AI Assistant Relationships. 943-957 - Alka V. Menon, Zahra Abba Omar, Nadia Nahar, Xenophon Papademetris, Lynn E. Fiellin, Christian Kästner:
Lessons from Clinical Communications for Explainable AI. 958-970 - Franck Michel, Fabien Gandon:
Pay Attention: a Call to Regulate the Attention Market and Prevent Algorithmic Emotional Governance. 971-983 - Felix B. Mueller, Rebekka Görge, Anna K. Bernzen, Janna C. Pirk, Maximilian Poretschkin:
LLMs and Memorization: On Quality and Specificity of Copyright Compliance. 984-996 - Jimin Mun, Liwei Jiang, Jenny T. Liang, Inyoung Cheong, Nicole DeCario, Yejin Choi, Tadayoshi Kohno, Maarten Sap:
Particip-AI: A Democratic Surveying Framework for Anticipating Future AI Use Cases, Harms and Benefits. 997-1010 - Kazuki Nakajima, Yuya Sasaki, Sohei Tokuno, George Fletcher:
Quantifying Gendered Citation Imbalance in Computer Science Conferences. 1011-1022 - Luca Nannini:
Habemus a Right to an Explanation: so What? - A Framework on Transparency-Explainability Functionality and Tensions in the EU AI Act. 1023-1035 - Isar Nejadgholi, Maryam Molamohammadi, Kimiya Missaghi, Samir Bakhtawar:
Human-Centered AI Applications for Canada's Immigration Settlement Sector. 1036-1050 - Ikhtiyor Nematov, Dimitris Sacharidis, Katja Hose, Tomer Sagi:
AIDE: Antithetical, Intent-based, and Diverse Example-Based Explanations. 1051-1062 - Hakim Norhashim, Jungpil Hahn:
Measuring Human-AI Value Alignment in Large Language Models. 1063-1073 - José Luiz Nunes, Guilherme F. C. F. Almeida, Marcelo de Araújo, Simone D. J. Barbosa:
Are Large Language Models Moral Hypocrites? A Study Based on Moral Foundations. 1074-1087 - Oluseun Olulana, Kathleen Cachel, Fabricio Murai, Elke A. Rundensteiner:
Hidden or Inferred: Fair Learning-To-Rank With Unknown Demographics. 1088-1099 - Mayada Oudah, Kinga Makovi, Kurt Gray, Balaraju Battu, Talal Rahwan:
Perception of Experience Influences Altruism and Perception of Agency Influences Trust in Human-Machine Interactions (Extended Abstract). 1100 - Kentrell Owens, Erin Freiburger, Ryan Hutchings, Mattea Sim, Kurt Hugenberg, Franziska Roesner, Tadayoshi Kohno:
Face the Facts: Using Face Averaging to Visualize Gender-by-Race Bias in Facial Analysis Algorithms. 1101-1111 - Ioanna Papageorgiou:
Proxy Fairness under the European Data Protection Regulation and the AI Act: A Perspective of Sensitivity and Necessity. 1112-1122 - Thomas Pinkava, Jack W. McFarland, Afra Mashhadi:
A Model- and Data-Agnostic Debiasing System for Achieving Equalized Odds. 1123-1131 - Giada Pistilli, Alina Leidinger, Yacine Jernite, Atoosa Kasirzadeh, Alexandra Sasha Luccioni, Margaret Mitchell:
CIVICS: Building a Dataset for Examining Culturally-Informed Values in Large Language Models. 1132-1144 - Jérémie Poiroux:
Disengagement through Algorithms: How Traditional Organizations Aim for Experts' Satisfaction. 1145-1156 - Emelia Probasco, Matthew Burtell, Helen Toner, Tim G. J. Rudner:
Not Oracles of the Battlefield: Safety Considerations for AI-Based Military Decision Support Systems. 1157-1165 - Duncan Purves, Schuyler Sturm, John Madock:
What to Trust When We Trust Artificial Intelligence (Extended Abstract). 1166 - Peizhu Qian, Harrison Huang, Vaibhav V. Unhelkar:
PPS: Personalized Policy Summarization for Explaining Sequential Behavior of Autonomous Agents. 1167-1179 - Chahat Raj, Anjishnu Mukherjee, Aylin Caliskan, Antonios Anastasopoulos, Ziwei Zhu:
Breaking Bias, Building Bridges: Evaluation and Mitigation of Social Biases in LLMs via Contact Hypothesis. 1180-1189 - William Rathje:
Learning When Not to Measure: Theorizing Ethical Alignment in LLMs. 1190-1199 - Maribeth 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, Laura Weidinger:
Gaps in the Safety Evaluation of Generative AI. 1200-1217 - Anka Reuel, Devin Ma:
Fairness in Reinforcement Learning: A Survey. 1218-1230 - Jake Robertson, Thorsten Schmidt, Frank Hutter, Noor H. Awad:
A Human-in-the-Loop Fairness-Aware Model Selection Framework for Complex Fairness Objective Landscapes. 1231-1242 - Roberta Rocca, Giada Pistilli, Kritika Maheshwari, Riccardo Fusaroli:
Introducing ELLIPS: An Ethics-Centered Approach to Research on LLM-Based Inference of Psychiatric Conditions. 1243-1254 - Annabel Rothschild, Ding Wang, Niveditha Jayakumar Vilvanathan, Lauren Wilcox, Carl DiSalvo, Betsy DiSalvo:
The Problems with Proxies: Making Data Work Visible through Requester Practices. 1255-1268 - Chiman Salavati, Shannon Song, Willmar Sosa Diaz, Scott A. Hale, Roberto E. Montenegro, Fabricio Murai, Shiri Dori-Hacohen:
Reducing Biases towards Minoritized Populations in Medical Curricular Content via Artificial Intelligence for Fairer Health Outcomes. 1269-1280 - Vishwesh Sangarya, Richard M. Bradford, Jung-Eun Kim:
Estimating Environmental Cost Throughout Model's Adaptive Life Cycle. 1281-1291 - Arul George Scaria, Vidya Subramanian, Nevin K. George, Nandana Sengupta:
Algorithms and Recidivism: A Multi-disciplinary Systematic Review. 1292-1305 - Jana Schaich Borg, Hannah Read:
What Is Required for Empathic AI? It Depends, and Why That Matters for AI Developers and Users. 1306-1318 - Sonja Schmer-Galunder, Ruta Wheelock, Zaria Jalan, Alyssa Chvasta, Scott Friedman, Emily Saltz:
Annotator in the Loop: A Case Study of In-Depth Rater Engagement to Create a Prosocial Benchmark Dataset. 1319-1328 - Ali Akbar Septiandri, Marios Constantinides, Daniele Quercia:
The Impact of Responsible AI Research on Innovation and Development. 1329-1342 - Ruoxi Shang, Gary Hsieh, Chirag Shah:
Trusting Your AI Agent Emotionally and Cognitively: Development and Validation of a Semantic Differential Scale for AI Trust. 1343-1356 - Ishana Shastri, Shomik Jain, Barbara Engelhardt, Ashia Wilson:
Automating Transparency Mechanisms in the Judicial System Using LLMs: Opportunities and Challenges. 1357-1367 - Colin Shea-Blymyer, Houssam Abbas:
Formal Ethical Obligations in Reinforcement Learning Agents: Verification and Policy Updates. 1368-1378 - Yonas Sium, Qi Li, Kush R. Varshney:
Individual Fairness in Graphs Using Local and Global Structural Information. 1379-1389 - Gizem Sogancioglu, Pablo Mosteiro, Albert Ali Salah, Floortje Scheepers, Heysem Kaya:
Fairness in AI-Based Mental Health: Clinician Perspectives and Bias Mitigation. 1390-1400 - Merlin Stein, Milan Gandhi, Theresa Kriecherbauer, Amin Oueslati, Robert Trager:
Public vs Private Bodies: Who Should Run Advanced AI Evaluations and Audits? A Three-Step Logic Based on Case Studies of High-Risk Industries. 1401-1415 - Mohammad Tahaei, Daricia Wilkinson, Alisa Frik, Michael Muller, Ruba Abu-Salma, Lauren Wilcox:
Surveys Considered Harmful? Reflecting on the Use of Surveys in AI Research, Development, and Governance. 1416-1433 - Musa Taib, Jiajun Wu, Steve Drew, Geoffrey G. Messier:
Enhancing Equitable Access to AI in Housing and Homelessness System of Care through Federated Learning. 1434-1443 - Elizaveta Tennant, Stephen Hailes, Mirco Musolesi:
Dynamics of Moral Behavior in Heterogeneous Populations of Learning Agents. 1444-1454 - Savannah Thais:
Misrepresented Technological Solutions in Imagined Futures: The Origins and Dangers of AI Hype in the Research Community. 1455-1465 - Ana Valdivia:
The Supply Chain Capitalism of AI: A Call to (Re)think Algorithmic Harms and Resistance (Extended Abstract). 1466 - Kush R. Varshney:
Decolonial AI Alignment: Openness, Visesa-Dharma, and Including Excluded Knowledges. 1467-1481 - Gavin Victor, Jean-Christophe Bélisle-Pipon:
Medical AI, Categories of Value Conflict, and Conflict Bypasses. 1482-1489 - Karina Vida, Fabian Damken, Anne Lauscher:
Decoding Multilingual Moral Preferences: Unveiling LLM's Biases through the Moral Machine Experiment. 1490-1501 - Mattia Jacopo Villani, Emanuele Albini, Shubham Sharma, Saumitra Mishra, Salim Ibrahim Amoukou, Daniele Magazzeni, Manuela Veloso:
PICE: Polyhedral Complex Informed Counterfactual Explanations. 1502-1513 - Angelina Wang, Teresa Datta, John P. Dickerson:
Strategies for Increasing Corporate Responsible AI Prioritization. 1514-1526 - Johnny Tian-Zheng Wei, Frederike Zufall, Robin Jia:
Operationalizing Content Moderation "Accuracy" in the Digital Services Act. 1527-1538 - Kevin Wei, Carson Ezell, Nick Gabrieli, Chinmay Deshpande:
How Do AI Companies "Fine-Tune" Policy? Examining Regulatory Capture in AI Governance. 1539-1555 - Andrea W. Wen-Yi, Kathryn Adamson, Nathalie Greenfield, Rachel Goldberg, Sandra Babcock, David Mimno, Allison Koenecke:
Automate or Assist? The Role of Computational Models in Identifying Gendered Discourse in US Capital Trial Transcripts. 1556-1566 - Bauke Wielinga, Stefan Buijsman:
A Relational Justification of AI Democratization. 1567-1577 - Kyra Wilson, Aylin Caliskan:
Gender, Race, and Intersectional Bias in Resume Screening via Language Model Retrieval. 1578-1590 - Zachary Wojtowicz:
When and Why is Persuasion Hard? A Computational Complexity Result. 1591-1594 - Robert Wolfe, Tanushree Mitra:
The Implications of Open Generative Models in Human-Centered Data Science Work: A Case Study with Fact-Checking Organizations. 1595-1607 - Robert Wolfe, Alexis Hiniker, Bill Howe:
ML-EAT: A Multilevel Embedding Association Test for Interpretable and Transparent Social Science. 1608-1620 - Robert Wolfe, Aayushi Dangol, Bill Howe, Alexis Hiniker:
Representation Bias of Adolescents in AI: A Bilingual, Bicultural Study. 1621-1634 - Robert Wolfe, Aayushi Dangol, Alexis Hiniker, Bill Howe:
Dataset Scale and Societal Consistency Mediate Facial Impression Bias in Vision-Language AI. 1635-1647 - Yankun Wu, Yuta Nakashima, Noa Garcia:
Stable Diffusion Exposed: Gender Bias from Prompt to Image. 1648-1659 - Tian Xie, Xueru Zhang:
Non-linear Welfare-Aware Strategic Learning. 1660-1671 - Tian Xie, Xuwei Tan, Xueru Zhang:
Algorithmic Decision-Making under Agents with Persistent Improvement. 1672-1683 - Zhihan Xu, Eni Mustafaraj:
Tracing the Evolution of Information Transparency for OpenAI's GPT Models through a Biographical Approach. 1684-1695 - Joshua C. Yang, Damian Dailisan, Marcin Korecki, Carina I. Hausladen, Dirk Helbing:
LLM Voting: Human Choices and AI Collective Decision-Making. 1696-1708 - Rui-Jie Yew, Lucy Qin, Suresh Venkatasubramanian:
You Still See Me: How Data Protection Supports the Architecture of AI Surveillance. 1709-1722 - Miao Zhang, Rumi Chunara:
Mitigating Urban-Rural Disparities in Contrastive Representation Learning with Satellite Imagery. 1723-1734 - Richard Zhang, Erin van Liemt, Tyler Fischella:
Ontology of Belief Diversity: A Community-Based Epistemological Approach. 1735-1743
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