Poster Session 1, October 21, 6:00 pm
| 28 | What’s Distributive Justice Got to Do with It? Rethinking Algorithmic Fairness from a Perspective of Approximate Justice Corinna Hertweck, Christoph Heitz and Michele Loi |
| 43 | Reflection of its Creators: Qualitative Analysis of General Public and Expert Perceptions of Artificial Intelligence Theodore Jensen, Mary Theofanos, Kristen Greene, Olivia Williams, Kurtis Goad and Janet Bih Fofang |
| 48 | Habemus a Right to an Explanation: so What? – A Framework on Transparency-Explainability Functionality and Tensions in the EU AI Act Luca Nannini |
| 77 | A Formal Account of Trustworthiness: Connecting Intrinsic and Perceived Trustworthiness Piercosma Bisconti, Letizia Aquilino, Antonella Marchetti and Daniele Nardi |
| 80 | Quantifying gendered citation imbalance in computer science conferences Kazuki Nakajima, Yuya Sasaki, Sohei Tokuno and George Fletcher |
| 93 | PPS: Personalized Policy Summarization for Explaining Sequential Behavior of Autonomous Agents Peizhu Qian, Harrison Huang and Vaibhav V. Unhelkar |
| 101 | On the Trade-offs between Adversarial Robustness and Actionable Explanations Satyapriya Krishna, Chirag Agarwal and Himabindu Lakkaraju |
| 108 | “I don’t see myself represented here at all”: User Experiences of Stable Diffusion Outputs Containing Representational Harms across Gender Identities and Nationalities Sourojit Ghosh, Nina Lutz and Aylin Caliskan |
| 123 | Racial and Neighborhood Disparities in Legal Financial Obligations in Jefferson County, Alabama Óscar Lara Yejas, Aakanksha Joshi, Andrew Martinez, Leah Nelson, Skyler Speakman, Krysten Thompson, Yuki Nishimura, Jordan Bond and Kush R. Varshney |
| 134 | Estimating Environmental Cost Throughout Model’s Adaptive Life Cycle Vishwesh Sangarya, Richard Bradford and Jung-Eun Kim |
| 136 | The Impact of Responsible AI Research on Innovation and Development Ali Septiandri, Marios Constantinides and Daniele Quercia |
| 143 | Public Attitudes on Performance for Algorithmic and Human Decision-Makers Kirk Bansak and Elisabeth Paulson |
| 174 | “Democratizing AI” and the Concern of Algorithmic Injustice Ting-An Lin |
| 178 | Kid-Whisper: Towards Bridging the Performance Gap in Automatic Speech Recognition for Children VS. Adults Ahmed Attia, Jing Liu, Wei Ai, Dora Demszky and Carol Espy-Wilson |
| 213 | CIVICS: Building a Dataset for Examining Culturally-Informed Values in Large Language Models Giada Pistilli, Alina Leidinger, Yacine Jernite, Atoosa Kasirzadeh, Alexandra Sasha Luccioni and Margaret Mitchell |
| 233 | Introducing the AI Governance and Regulatory Archive (AGORA): An Analytic Infrastructure for Navigating the Emerging AI Governance Landscape Zachary Arnold, Niharika Singh, Jennifer Melot, Daniel S. Schiff, Kaylyn Jackson Schiff, Ogadinma Enweareazu and Tyler Girard |
| 241 | Enhancing Equitable Access to AI in Housing and Homelessness System of Care through Federated Learning Musa Taib, Jiajun Wu, Steve Drew and Geoffrey Messier |
| 258 | The Problems with Proxies: Making Data Work Visible through Requester Practices Annabel Rothschild, Ding Wang, Niveditha Jayakumar, Lauren Wilcox, Carl DiSalvo and Betsy DiSalvo |
| 261 | Scaling Laws Do Not Scale Fernando Diaz and Michael Madaio |
| 285 | Beyond Thumbs Up/Down: Untangling Challenges of Fine-Grained Feedback for Text-to-Image Generation Katherine Collins, Najoung Kim, Yonatan Bitton, Verena Rieser, Shayegan Omidshafiei, Yushi Hu, Sherol Chen, Senjuti Dutta, Minsuk Chang, Kimin Lee, Youwei Liang, Georgie Evans, Sahil Singla, Gang Li, Adrian Weller, Junfeng He, Deepak Ramachandran and Krishnamurthy Dvijotham |
| 287 | Compassionate AI for Moral Decision-Making, Health, and Well-Being Mark Graves and Jane Compson |
| 288 | Formal Ethical Obligations in Reinforcement Learning Agents: Verification and Policy Updates Colin Shea-Blymyer and Houssam Abbas |
| 296 | Simulating Policy Impacts: Developing a Generative Scenario Writing Method to Evaluate the Perceived Effects of Regulation Julia Barnett, Kimon Kieslich and Nicholas Diakopoulos |
| 306 | Contributory injustice, epistemic calcification and the use of AI systems in healthcare Mahi Hardalupas |
| 334 | Mitigating urban-rural disparities in contrastive representation learning with satellite imagery Miao Zhang and Rumi Chunara |
| 339 | ML-EAT: A Multilevel Embedding Association Test for Interpretable and Transparent Social Science Robert Wolfe, Alexis Hiniker and Bill Howe |
| 345 | Observing Context Improves Disparity Estimation when Race is Unobserved Kweku Kwegyir-Aggrey, Naveen Durvasula, Jennifer Wang and Suresh Venkatasubramanian |
| 371 | Algorithmic Fairness From the Perspective of Legal Anti-discrimination Principles Vijay Keswani and L. Elisa Celis |
| 389 | Reducing Biases towards Minoritized Populations in Medical Curricular Content via Artificial Intelligence for Fairer Health Outcomes Chiman Salavati, Shannon Song, Willmar Sosa Diaz, Scott A. Hale, Roberto E. Montenegro, Fabricio Murai and Shiri Dori-Hacohen |
| 395 | Tracing the Evolution of Information Transparency for OpenAI’s GPT Models Through a Biographical Approach Zhihan Xu and Eniana Mustafaraj |
| 415 | MoJE: Mixture of Jailbreak Experts, Naive Tabular Classifiers as Guard for Prompt Attacks Giandomenico Cornacchia, Kieran Fraser, Muhammad Zaid Hameed, Mark Purcell, Ambrish Rawat and Giulio Zizzo |
| 417 | Social Scoring Systems for Behavioral Regulation: An Experiment on the Role of Transparency in Determining Perceptions and Behaviors Carmen Löfflad, Mo Chen and Jens Grossklags |
| 420 | Trustworthy Social Bias Measurement Rishi Bommasani and Percy Liang |
| 434 | A Conceptual Framework for Ethical Evaluation of Machine Learning Systems Neha Gupta, Jessica Hullman and Hariharan Subramonyam |
| 442 | The PPOu Framework: A Structured Approach for Assessing the Likelihood of Malicious Use of Advanced AI Systems Josh A. Goldstein and Girish Sastry |
| 450 | Epistemic Injustice in Generative AI Jackie Kay, Atoosa Kasirzadeh and Shakir Mohamed |
| 451 | Disengagement through Algorithms: How Traditional Organizations Aim for Experts’ Satisfaction Jérémie Poiroux |
| 461 | Decoding Multilingual Moral Preferences: Unveiling LLM’s Biases Through the Moral Machine Experiment Karina Vida, Fabian Damken and Anne Lauscher |
| 465 | Stable Diffusion Exposed: Gender Bias from Prompt to Image Yankun Wu, Yuta Nakashima and Noa Garcia |
| 472 | Dynamics of Moral Behavior in Heterogeneous Populations of Learning Agents Elizaveta Tennant, Stephen Hailes and Mirco Musolesi |
Student Posters
| 29 | Untangling Race and Lung Function in Prediction Models Amin Adibi |
| 24 | Fair Conversational Recommender System Mina Arzaghi |
| 33 | Misplaced Capabilities: Evaluating the Risks of Anthropomorphism in Human-AI Interactions Takuya Maeda |
| 21 | Tree-Based Approaches for Interpretable Modeling in Healthcare Juliette Murris |
| 17 | Advancing Early Alzheimer’s Disease Detection in Underdeveloped Areas with Fair Explainable AI Methods Quoc-Toan Nguyen |
| 34 | An Intersectional Approach to Large Language Models Khaoula Chehbouni |
| 20 | Leveraging Mixed Methods to Identify and Address Technological Harms towards Marginalized Groups Camille Harris |
| 15 | Uncovering Gender Biases in Human-AI Platforms Siddarth Jaiswal |
| 1 | Algorithmic Decision-Making under Agents with Persistent Improvement Tian Xie |
| 28 | Generative Models for Art and Society Yankun Wu |
Poster Session 2, October 22, 6:00 pm
| 26 | Strategies for Increasing Corporate Responsible AI Prioritization Angelina Wang, Teresa Datta and John Dickerson |
| 29 | On Feasibility of Intent Obfuscating Attacks Zhaobin Li and Patrick Shafto |
| 31 | Non-linear Welfare-Aware Strategic Learning Tian Xie and Xueru Zhang |
| 45 | Gender in pixels: pathways to non-binary representation in Computer Vision Elena Beretta |
| 60 | Responsible Reporting for Frontier AI Development Noam Kolt, Markus Anderljung, Joslyn Barnhart, Asher Brass, Kevin Esvelt, Gillian K. Hadfield, Lennart Heim, Mikel Rodriguez, Jonas B. Sandbrink and Thomas Woodside |
| 64 | Coordinated Disclosure for AI: Beyond Security Vulnerabilities Sven Cattell, Avijit Ghosh and Lucie-Aimée Kaffee |
| 89 | The supply chain capitalism of AI: A call to (re)think algorithmic harms and resistance Ana Valdivia |
| 95 | APPRAISE: a Governance Framework for Innovation with Artificial Intelligence Systems Diptish Dey and Debarati Bhaumik |
| 106 | Risks from Language Models for Automated Mental Healthcare: Ethics and Structure for Implementation Declan Grabb, Max Lamparth and Nina Vasan |
| 110 | Individual Fairness in Graphs Using Local and Global Structural Information Yonas Sium, Qi Li and Kush R. Varshney |
| 117 | A Human-in-the-Loop Fairness-Aware Model Selection Framework for Complex Fairness Objective Landscapes Jake Robertson, Thorsten Schmidt, Frank Hutter and Noor Awad |
| 118 | Algorithms and Recidivism: A Multi-disciplinary Systematic Review Arul Scaria, Vidya Subramanian, Nevin George and Nandana Sengupta |
| 124 | Introducing ELLIPS: an ethics-centered approach to research on LLM-based inference of psychiatric conditions Roberta Rocca, Giada Pistilli, Kritika Maheshwari and Riccardo Fusaroli |
| 137 | Face the Facts: Using Face Averaging to Visualize Gender-by-Race Bias in Facial Analysis Algorithms Kentrell Owens, Erin Freiburger, Ryan Hutchings, Mattea Sim, Kurt Hugenberg, Franziska Roesner and Tadayoshi Kohno |
| 145 | A Relational Justification of AI Democratization Bauke Wielinga and Stefan Buijsman |
| 153 | SoUnD Framework: Analyzing (So)cial Representation in (Un)structured (D)ata Mark Diaz, Sunipa Dev, Emily Reif, Emily Denton and Vinodkumar Prabhakaran |
| 163 | What’s Your Stake in Sustainability of AI?: An Informed Insider’s Guide Grace C. Kim, Annabel Rothschild, Carl DiSalvo and Betsy DiSalvo |
| 165 | AI debates aren’t binary — they’re plural Thorin Bristow, Diana Acosta Navas and Luke Thorburn |
| 175 | Do Generative AI Models Output Harm while Representing Non-Western Cultures: Evidence from A Community-Centered Approach Sourojit Ghosh, Pranav Narayanan Venkit, Sanjana Gautam, Shomir Wilson and Aylin Caliskan |
| 189 | Beyond Participatory AI Jonne Maas and Aarón Moreno Inglés |
| 196 | PICE: Polyhedral Complex Informed Counterfactual Explanations Mattia Jacopo Villani, Emanuele Albini, Shubham Sharma, Saumitra Mishra, Salim Ibrahim Amoukou, Daniele Magazzeni and Manuela Veloso |
| 201 | Fairness in AI-Based Mental Health: Clinician Perspectives and Bias Mitigation Gizem Sogancioglu, Pablo Mosteiro, Albert Ali Salah, Floortje Scheepers and Heysem Kaya |
| 244 | Foundations for Unfairness in Anomaly Detection – Case Studies in Facial Imaging Data Michael Livanos and Ian Davidson |
| 247 | Medical AI, Categories of Value Conflict, and Conflict Bypasses Gavin Victor and Jean-Christophe Bélisle-Pipon |
| 251 | Lessons from clinical communications for AI systems Alka Menon, Zahra Abba Omar, Nadia Nahar, Xenophon Papademetris, Lynn Fiellin and Christian Kästner |
| 253 | Virtual Assistants Are Unlikely to Reduce Patient Non-Disclosure Corinne Jorgenson, Ali Ozkes, Jurgen Willems and Dieter Vanderelst |
| 267 | Uncovering the gap: Challeging the Agential Nature of AI Responsibility Problems Joan Llorca Albareda |
| 275 | Hidden or Inferred: Fair Learning-To-Rank With Unknown Demographics Oluseun Olulana, Kathleen Cachel, Fabricio Murai and Elke Rundensteiner |
| 280 | LLMs and Memorization: On Quality and Specificity of Copyright Compliance Felix Benjamin Müller, Rebekka Görge, Anna K. Bernzen, Janna Clara Pirk and Maximilian Poretschkin |
| 294 | Foregrounding Artist Opinions: A Survey Study on Transparency, Ownership, and Fairness in AI Generative Art Juniper Lovato, Julia Zimmerman, Isabelle Smith, Peter Dodds and Jennifer Karson |
| 299 | Annotator in the Loop: A Case Study of In-Depth Rater Engagement to Create a Prosocial Benchmark Dataset Sonja Schmer-Galunder, Ruta Wheelock, Zaria Jalan, Alyssa Chvasta, Scott Friedman and Emily Saltz |
| 311 | Outlier Detection Bias Busted: Understanding Sources of Algorithmic Bias through Data-centric Factors Xueying Ding, Rui Xi and Leman Akoglu |
| 342 | Representation Bias of Adolescents in AI: A Bilingual, Bicultural Study Robert Wolfe, Aayushi Dangol, Bill Howe and Alexis Hiniker |
| 355 | On The Stability of Moral Preferences: A Problem with Computational Elicitation Methods Kyle Boerstler, Vijay Keswani, Lok Chan, Jana Schaich Borg, Vincent Conitzer, Hoda Heidari and Walter Sinnott-Armstrong |
| 399 | As an AI Language Model, “Yes I Would Recommend Calling the Police”: Norm Inconsistency in LLM Decision-Making Shomik Jain, D Calacci and Ashia Wilson |
| 419 | Why Am I Still Seeing This: Measuring the Effectiveness of Ad Controls and Explanations in AI-Mediated Ad Targeting Systems Jane Castleman and Aleksandra Korolova |
| 457 | AIDE: Antithetical, Intent-based, and Diverse Example-Based Explanations Ikhtiyor Nematov, Dimitris Sacharidis, Katja Hose and Tomer Sagi |
| 470 | Estimating Weights of Reasons using Metaheuristics: A Hybrid Approach to Machine Ethics Benoît Alcaraz, Aleks Knoks and David Streit |
| 490 | Misrepresented Technological Solutions in Imagined Futures: The Origins and Dangers of AI Hype in the Research Community Savannah Thais |
Student Posters
| 2 | Creating an AI Data Context Index for Responsible AI in the Global South Abiola Azeez |
| 40 | One Bad NOFO? Federal Grantmaking Agency Silence on AI Governance Dan Bateyko |
| 19 | Schools of AI in the Public Sector: Fairness and Accountability Concerns Marc Elliott |
| 37 | Two-Stage Refugee Resettlement Models: Computational Aspects of the Second Stage Šimon Schierreich |
| 27 | Decoding Global AI Governance: A Computational Linguistic Analysis of National Regulations Eryclis Silva |
| 38 | Bridging Ethics and AI: A Path to Moral Machines Aisha Aijaz |
| 12 | AI Ethics for Creativity Alayt Abraham Issak |
| 10 | The Main Challenges of AI Ethics: Historical Contextualization, Black-Boxing, Social Biases, Labor Invisibility Konstantinos Konstantis |
| 5 | Ethical Alignment in LLMs: What can metaethics tell us about LLM alignment? William Rathje |
| 28 | The Need For Inclusive NLP: Addressing Sociodemographic Bias and Enhancing Sociotechnical Systems through Interdisciplinary Frameworks Pranav Narayanan Venkit |
Poster Session 3, October 23, 9:00 am
| 5 | What to Trust When We Trust Artificial Intelligence Duncan Purves, Schuyler Sturm and John Madock |
| 19 | Are Large Language Models Moral Hypocrites? A study based on Moral Foundations Jose Luiz Nunes, Guilherme Almeida, Marcelo Araujo and Simone Diniz Junqueira Barbosa |
| 78 | Breaking the Global North Stereotype: A Global South-centric Benchmark Dataset for Auditing and Mitigating Biases in Facial Recognition Systems Siddharth Jaiswal, Animesh Ganai, Abhisek Dash, Saptarshi Ghosh and Animesh Mukherjee |
| 83 | Trusting Your AI Agent Emotionally and Cognitively: Development and Validation of a Semantic Differential Scale for AI Trust Ruoxi Shang, Gary Hsieh and Chirag Shah |
| 113 | Human vs. Machine: Behavioral Differences Between Expert Humans and Language Models in Wargame Simulations Max Lamparth, Anthony Corso, Jacob Ganz, Oriana Skylar Mastro, Jacquelyn Schneider and Harold Trinkunas |
| 132 | All Too Human: Understanding and Mitigating the Risk from Anthropomorphic AI Canfer Akbulut, Laura Weidinger, Arianna Manzini, Iason Gabriel and Verena Rieser |
| 139 | Representation Magnitude has a Liability to Privacy Vulnerability Xingli Fang and Jung-Eun Kim |
| 164 | Afrofuturist Values for the Metaverse Theresa Hice-Fromille and Sarah Papazoglakis |
| 191 | Anticipating the risks and benefits of counterfactual world simulation models Lara Kirfel, Rob MacCoun, Thomas Icard and Tobias Gerstenberg |
| 206 | Surviving in Diverse Biases: Unbiased Dataset Acquisition in Online Data Market for Fair Model Training Jiashi Gao, Ziwei Wang, Xiangyu Zhao, Xin Yao and Xuetao Wei |
| 214 | Public vs Private Bodies: Who Should Run Which Advanced AI Audits and Evaluations? Evidence from Nine Case Studies of High-Risk Industries Merlin Stein, Theresa Kriecherbauer, Amin Oueslati and Robert Trager |
| 229 | Ecosystem Graphs: Documenting the Foundation Model Supply Chain Rishi Bommasani, Dilara Soylu, Thomas Liao, Kathleen Creel and Percy Liang |
| 252 | How Are LLMs Mitigating Stereotyping Harms? Learning from Search Engine Studies Alina Leidinger and Richard Rogers |
| 277 | Human-Centered AI Applications for Canada’s Immigration Settlement Sector Isar Nejadgholi, Maryam Molamohammadi, Kimiya Missaghi and Samir Bakhtawar |
| 295 | Compute North vs. Compute South: The Uneven Possibilities of Compute-based AI Governance Around the Globe Vili Lehdonvirta, Bóxī Wú and Zoe Hawkins |
| 322 | Interpretations, Representations, and Stereotypes of Caste within Text-to-Image Generators Sourojit Ghosh |
| 324 | Ontology of Belief Diversity: A Community-Based Epistemological Approach Richard Zhang, Erin Van Liemt and Tyler Fischella |
| 332 | Algorithm-Assisted Decision Making and Racial Disparities in Housing: A Study of the Allegheny Housing Assessment Tool Lingwei Cheng, Cameron Drayton, Alexandra Chouldechova and Rhema Vaithianathan |
| 340 | On the Pros and Cons of Active Learning for Moral Preference Elicitation Vijay Keswani, Vincent Conitzer, Hoda Heidari, Jana Schaich Borg and Walter Sinnott-Armstrong |
| 344 | A Model- and Data-Agnostic Debiasing System for Achieving Equalized Odds Thomas Pinkava, Jack McFarland and Afra Mashhadi |
| 347 | Particip-AI: A Democratic Surveying Framework for Anticipating Future AI Use Cases, Harms and Benefits Jimin Mun, Liwei Jiang, Jenny Liang, Inyoung Cheong, Nicole DeCairo, Yejin Choi, Tadayoshi Kohno and Maarten Sap |
| 360 | Legitimating Emotion Tracking Technologies in Driver Monitoring Systems Aaron Doerfler and Luke Stark |
| 373 | Automating Accountability Mechanisms in the Judicial System Using LLMs: Opportunities and Challenges Ishana Shastri, Shomik Jain, Barbara Engelhardt and Ashia Wilson |
| 374 | Do Responsible AI Artifacts Advance Stakeholder Goals? Four Key Barriers Perceived by Legal and Civil Stakeholders Anna Kawakami, Jordan Taylor, Sarah Fox, Haiyi Zhu and Ken Holstein |
| 388 | Dataset Scale and Societal Consistency Mediate Facial Impression Bias in Vision-Language AI Robert Wolfe, Aayushi Dangol, Alexis Hiniker and Bill Howe |
| 392 | Not Oracles of the Battlefield: Safety Considerations for AI-Based Military Decision Support Systems Emilia Probasco, Matthew Burtell, Helen Toner and Tim G. J. Rudner |
| 413 | Vernacularizing Taxonomies of Harm is Essential for Operationalizing Holistic AI Safety Wm. Matthew Kennedy and Daniel Vargas Campos |
| 414 | LLM Platform Security: Applying a Systematic Evaluation Framework to OpenAI’s ChatGPT Plugins Umar Iqbal, Tadayoshi Kohno and Franziska Roesner |
| 427 | Measuring Human-AI Value Alignment in Large Language Models Hakim Norhashim and Jungpil Hahn |
| 431 | Sponsored is the New Organic: Implications of Sponsored Results on Quality of Search Results in the Amazon Marketplace Abhisek Dash, Saptarshi Ghosh, Animesh Mukherjee, Abhijnan Chakraborty and Krishna P. Gummadi |
| 444 | Navigating Governance Paradigms: A Cross-Regional Comparative Study of Generative AI Governance Processes & Principles Jose Luna, Ivan Tan, Xiaofei Xie and Lingxiao Jiang |
Student Posters
| 32 | Data Cleaning, Discard Studies, and Discretionary Power Pinar Barlas |
| 7 | Enhancing Transparency and Research Ethics through Human AI Techniques Tatiana Chakravorti |
| 14 | Model Multiplicity for Responsible AI Prakhar Ganesh |
| 36 | Automated Decision-Making Systems for Behavioral Regulation: Understanding Perceptions and Behavioral Reactions Carmen Loefflad |
| 23 | Intent-aware Example-based Explainability Ikhtiyor Nematov |
| 35 | Historiography of the Boundary-Works in Artificial Intelligence Sokion Choi |
| 9 | Enhancing Human-AI Collaboration through Adaptive Interaction and Explainability Zhaobin Li |
| 11 | Making Sense of Digital Domination Jonne Maas |
| 30 | “Computer says no”: Impacts of AI on rural SMEs Susan Sheldrick |
| 3 | Quantitative and Organizational Approaches to Epistemic Risk in Generative and General-Purpose AI Robert Wolfe |