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Accepted Papers

AI and Machine Learning #

Paper
FairWAG: Fairness-aware Weighted Aggregation for Graph Learning in a Federated Setting
Kuan-Chieh Lo, Yuntian He, Yuze Jiang, Srinivasan Parthasarathy
Direct Alignment with Heterogeneous Preferences (Non-archival)
Ali Shirali, Arash Nasr-Esfahany, Abdullah Omar Alomar, Parsa Mirtaheri, Rediet Abebe, Ariel D. Procaccia
Language Models Generate Widespread Intersectional Biases in Narratives of Learning, Labor, and Love (Non-archival)
Evan Shieh, Faye-Marie Vassel, Cassidy Sugimoto, Thema Monroe-White
The Backfiring Effect of Weak AI Safety Regulation (Non-archival)
Benjamin Laufer, Jon Kleinberg, Hoda Heidari
Realizing the Promises of Algorithmic Recourse through Reliability, Accessibility, and Fairness Principles
Kate Boxer, Daniel B. Neill
The Hidden Cost of Waiting for Accurate Predictions (Non-archival)
Ali Shirali, Ariel D. Procaccia, Rediet Abebe
Africa Health Check: Probing Cultural Bias in Medical LLMs (Non-archival)
Charles Nimo, Irfan Essa, Michael Best
Challenging the Validity of Personality Tests for Large Language Models
Tom Sühr, Florian E. Dorner, Samira Samadi, Augustin Kelava
The Feedback Loop of Statistical Discrimination (Non-archival)
Jackie Baek, Ali Makhdoumi
Discretion in the Loop: Human Expertise in Algorithm-Assisted College Advising (Non-archival)
Kara Schechtman, Benjamin Brandon, Jenise Stafford, Hannah Li, Lydia T. Liu
Be Intentional About Fairness!: Fairness, Size, and Multiplicity in the Rashomon Set
Gordon Dai, Pavan Ravishankar, Rachel Yuan, Emily Black, Daniel B. Neill
How Much Effort Is Enough? Fairness in Algorithmic Recourse Through the Lens of Substantive Equality of Opportunity
Andrew Bell, Joao Fonseca, Carlo Abrate, Francesco Bonchi, Julia Stoyanovich
Reconsidering Fairness Through Unawareness from the Perspective of Model Multiplicity
Benedikt Höltgen, Nuria M Oliver

Applied and Quantitative Modeling #

Paper
Digital Pulse of Development: Constructing Poverty Metrics from Social Media Discourse (Non-archival)
Woojin Jung, Andrew H. Kim, Charles Chear, Vatsal Shah, Ying Hung, Tawfiq Ammari
Optimization Meets Participation: Iterative Zone Generation for School Assignment (Non-archival)
Irene Lo, Katherine L. Mentzer, Mobin YahyazadehJeloudar
Why the Rooney Rule Fumbles: Limitations of Interview-stage Diversity Interventions in Labor Markets (Non-archival)
Setareh Farajollahzadeh, Soonbong Lee, Vahideh Manshadi, Faidra Monachou
A community-driven optimization framework for redrawing school attendance boundaries
Hongzhao Guan, Paul Riggins, Tyler Simko, Jasmine Mangat, Cassandra Moe, Urooj Haider, Frank Pantano, Effie G. McMillian, Genevieve Siegel-Hawley, Pascal Van Hentenryck, Nabeel Gillani
Battery Operations in Electricity Markets: Strategic Behavior and Distortions (Non-archival)
Jerry Anunrojwong, Santiago R. Balseiro, Omar Besbes, Bolun Xu

Empirical Studies #

Paper
AI Self-preferencing in Algorithmic Hiring: Empirical Evidence and Insights (Non-archival)
Jiannan Xu, Gujie Li, Jane Yi Jiang
Epistemic vs. Counterfactual Fairness in Allocation of Resources
Hadi Hosseini, Joshua Kavner, Sujoy Sikdar, Rohit Vaish, Lirong Xia
Echoes of Eugenics: Tracing the Ideological Persistence of Scientific Racism in Scholarly Discourse (Non-archival)
Nada Hashimi, Sydney Lodge, Cassidy Sugimoto, Thema Monroe-White
Archaeology of Self: Reflexivity in Data Activism to Address Systemic Injustices
Raechel Walker, Brady Cruse, Aisha Cora, Kantwon Rogers, Gretchen Brion-Meisels, “Catherine DIgnazio”, Cynthia Breazeal
Toward Community-Led Evaluations of Text-to-Image AI Representations of Disability, Health, and Accessibility
Cynthia L. Bennett, Shaun K. Kane, Christina Harrington
Labeling in Their Shoes: Improving Text Annotation with Cognitive Empathy Priming (Non-archival)
Sung Hyun Kwon, Jessica Clark, Il-Horn Hann, Jui Ramaprasad
Identity-related Speech Suppression in Generative AI Content Moderation
Grace Proebsting, Oghenefejiro Anigboro, Charlie M. Crawford, Danaé Metaxa, Sorelle A. Friedler
Fair Collective Decision Making through Plurality: Results from a Crowdfunding Platform
Joel Miller, Glen Weyl, Christopher Kanich

Position Papers and Problem Pitches #

Paper
From Incidents to Insights: Patterns of Responsibility following AI Harms
Isabel Richards, Claire Benn, Miri Zilka
Prediction, Performativity, and Potential Outcomes: Communicative Rationality in Prediction-Allocation Problems. (Non-archival)
Sebastian Zezulka, Konstantin Genin
Anti-Regulatory AI
Rui-Jie Yew, Brian Judge

Theory #

Paper
Privacy, power, and play: managing dissonance in harm and values in children’s media policy
Sara M Abdulla
Policy Design in Long-Run Welfare Dynamics (Non-archival)
Jiduan Wu, Rediet Abebe, Moritz Hardt, Ana-Andreea Stoica
Human-AI Collaboration with Misaligned Preferences (Non-archival)
Jiaxin Song, Parnian Shahkar, Kate Donahue, Bhaskar Ray Chaudhury