Accepted Papers

(#6) Stakeholder Involvement for Responsible AI Development: A Process Framework
Emma Kallina (University of Cambridge, Alan Turing Institute) and Jatinder Singh (University of Cambridge, Alan Turing Institute)

(#10) The Silicon Ceiling: Auditing GPT’s Race and Gender Biases in Hiring
Lena Armstrong (University of Pennsylvania), Abbey Liu (Temple University), Stephen MacNeil (Temple University), and Danae Metaxa (University of Pennsylvania)

(#18) Effects of Incentivizing Take-up of Post-incarceration Support Services on Recidivism: An RCT with Varying Treatment Dosages
Marco Castillo (Texas A&M University), Sera Linardi (University of Pittsburgh), and Ragan Petrie (Texas A&M University)

(#19) Markovian Search with Socially Aware Constraints
Mohammad Reza Aminian (The University of Chicago Booth School of Business), Vahiden Manshadi (Yale University), and Rad Niazadeh (The University of Chicago Booth School of Business)

(#34) The Dedicated Docket in U.S. Immigration Courts: An Analysis of Fairness and Efficiency Properties
Daniel Freund (Massachusetts Institute of Technology) and Wentao Weng (Massachusetts Institute of Technology)

(#39) A Causal Framework to Evaluate Racial Bias in Law Enforcement Systems
Jessy Xinyi Han (Massachusetts Institute of Technology), Andrew Miller (United States Naval Academy), S. Craig Watkins (University of Texas at Austin), Christopher Winship (Harvard University), Fotini Christia (Massachusetts Institute of Technology), and Devavrat Shah (Massachusetts Institute of Technology)

(#46) Dynamic Matching with Post-allocation Service and its Application to Refugee Resettlement
Kirk Bansak (University of California, Berkeley), Soonbong Lee (Yale School of Management), Vahideh Manshadi (Yale School of Management), Rad Niazadeh (The University of Chicago Booth School of Business), and Elisabeth Paulson (Harvard Business School)

(#49) Harm Ratio: A Novel and Versatile Fairness Criterion
Soroush Ebadian (University of Toronto), Rupert Freeman (University of Virginia), and Nisarg Shah (University of Toronto)

(#56) Who’s in and who’s out? A case study of multimodal CLIP-filtering in DataComp
Rachel Hong (University of Washington), William Agnew (Carnegie Mellon University), Tadayoshi Kohno (University of Washington), and Jamie Morgenstern (University of Washington)

(#64) Fairness in Ranking under Disparate Uncertainty
Richa Rastogi (Cornell University) and Thorsten Joachims (Cornell University)

(#72) Harmful Speech Detection by Language Models Exhibits Gender-Queer Dialect Bias
Rebecca Dorn (University of Southern California), Lee Kezar (University of Southern California), Fred Morstatter (USC Information Sciences Institute), and Kristina Lerman (USC Information Sciences Institute)

(#75) Bridging Research and Practice Through Conversation: Reflecting on Our Experience
Mayra Russo (Leibniz Universität Hanover), Mackenzie Jorgensen (King’s College London), Kristen M. Scott (KU Leuven), Wendy Xu (Chinese University of Hong Kong), Di H. Nguyen (University College Dublin), Jessie Finocchiaro (Harvard CRCS), and Matthew Olckers (Macquarie University)

(#88) Automating Food Drop: The Power of Two Choices for Dynamic and Fair Food Allocation
Marios Mertzanidis (Purdue University), Alexandros Psomas (Purdue University), and Paritosh Verma (Purdue University)

(#92) Ending Affirmative Action Harms Diversity Without Improving Academic Merit
Jinsook Lee (Cornell University), Emma Harvey (Cornell University), Joyce Zhou (Cornell University), Nikhil Garg (Cornell Tech), Thorsten Joachims (Cornell University), and Rene Kizilcec (Cornell University)

(#99) Centralized Selection with Preferences in the Presence of Biases
L. Elisa Celis (Yale), Amit Kumar (IIT Delhi), Nisheeth K. Vishnoi (Yale), and Andrew Xu (Yale)

(#112) Fairness rising from the ranks: HITS and PageRank on Homophilic Networks
Ana-Andreea Stoica (Max Planck Institute for Intelligent Systems), Nelly Litvak (University of Twente), and Augustin Chaintreau (Columbia University)

(#118) Optimal Design of Default Donations
Francisco Castro (University of California, Los Angeles) and Scott Rodilitz (UCLA Anderson School of Management)

(#155) Explainable AI in Practice: Practitioner Perspectives on AI for Social Good and User Engagement in the Global South
Chinasa T. Okolo (The Brookings Institution) and Hongjin Lin (Harvard University)

(#179) Statistical Inference Under Constrained Selection Bias
Santiago Cortés (Carnegie Mellon University), Mateo Dulce (Carnegie Mellon University), Carlos Patino (Factored AI), and Bryan Wilder (Carnegie Mellon University)

(#184) The Case for Globalizing Fairness: A Mixed Methods Study on Colonialism, AI, and Health in Africa
Mercy Asiedu (Google), Awa Dieng (Google DeepMind), Iskandar Haykel, Negar Rostamzadeh (Google), Stephen Pfohl (Google), Chirag Nagpal (Google), Maria Nagawa (Duke University), Abigail Oppong (Independent Researcher), Sanmi Koyejo (Google DeepMind), and Katherine Heller (Google)

(#201) Racial Steering by Large Language Models: A Prospective Audit of GPT-4 on Housing Recommendations
Eric Justin Liu (Massachusetts Institute of Technology), Wonyoung So (Massachusetts Institute of Technology), Peko Hosoi (Massachusetts Institute of Technology), and Catherine D’Ignazio (Massachusetts Institute of Technology)

(#203) A Simple, Statistically Robust Test of discrimination
Johann Gaebler (Department of Statistics, Harvard University) and Sharad Goel (Kennedy School of Government, Harvard University)

(#204) Auditing Gender Presentation Differences in Text-to-Image Models
Yanzhe Zhang (Georgia Institute of Technology), Lu Jiang (Carnegie Mellon University), Greg Turk (Georgia Institute of Technology), and Diyi Yang (Stanford University)

(#243) Fair Classification with Partial Feedback: An Exploration-Based Data Collection Approach
Vijay Keswani (Duke University), Anay Mehrotra (Yale University), and L. Elisa Celis (Yale)

(#248) From Transparency to Accountability and Back: A Discussion of Access and Evidence in AI Auditing
Sarah H. Cen (Massachusetts Institute of Technology) and Rohan Alur (Massachusetts Institute of Technology)

(#317) Learning treatment effects while treating those in need
Bryan Wilder (Carnegie Mellon University) and Pim Welle (Allegheny County Department of Human Services)