Accepted Papers and Posters

The list of accepted papers and posters can be found below.


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Accepted Papers

Capping Mobile Data Access Creates Value for Bottom-of-the-Pyramid Consumers - Experimental Evidence from a Mumbai Settlement
by Alp Sungu and Kamalini Ramdas

College Major Restrictions and Student Stratification
by Zachary Bleemer and Aashish Mehta

Improving Access to Housing and Supportive Services for Runaway and Homeless Youth: Reducing Vulnerability to Human Trafficking in New York City
by Yaren Bilge Kaya, Kayse Maass, Geri Dimas, Renata Konrad, Andrew Trapp and Meredith Dank

Redrawing attendance boundaries to increase racial and ethnic diversity in elementary schools
by Nabeel Gillani, Doug Beeferman, Christine Vega-Pourheydarian, Cassandra Overney, Pascal Van Hentenryck and Deb Roy

Priority-Based Assignment with Reserves and Quotas
by Atila Abdulkadiroglu and Aram Grigoryan

Participation Is not a Design Fix for Machine Learning
by Mona Sloane, Emanuel Moss, Olaitan Awomolo and Laura Forlano
/

Learning to Be Fair: A Consequentialist Approach to Equitable Decision-Making (non-archival)
by Alex Chohlas-Wood, Madison Coots, Henry Zhu, Emma Brunskill and Sharad Goel
/

Two-sided Benefits of Price Transparency in Smallholder Supply Chains
by Yuan Shi, Joann de Zegher and Irene Lo

Tackling Documentation Debt: A Survey on Algorithmic Fairness Datasets
by Alessandro Fabris, Stefano Messina, Gianmaria Silvello and Gian Antonio Susto
/

Policy Learning with Competing Agents
by Roshni Sahoo and Stefan Wager

FairEGM: Fair Link Prediction and Recommendation via Emulated Graph Modification
by Sean Current, Yuntian He, Saket Gurukar and Srinivasan Parthasarathy
/

Designing School Choice for Diversity in the San Francisco Unified School District
by Maxwell Allman, Itai Ashlagi, Irene Lo, Juliette Love, Katherine Mentzer, Henry O’Connell and Lulabel Ruiz-Setz

Bias, Consistency, and Partisanship in U.S. Asylum Cases: A Machine Learning Analysis of Extraneous Factors in Immigration Court Decisions
by Vyoma Raman, Catherine Vera and C.J. Manna
/

Fair Decision-Making for Food Inspections
by Shubham Singh, Bhuvni Shah, Chris Kanich and Ian A. Kash
/

Power to the People? Opportunities and Challenges for Participatory AI
by Abeba Birhane, William Isaac, Vinodkumar Prabhakaran, Mark Dí­az, Madeleine Clare Elish, Iason Gabriel and Shakir Mohamed
/

Dimensions of Diversity in Human Perceptions of Algorithmic Fairness
by Nina Grgić-Hlača, Gabriel Lima, Adrian Weller and Elissa M. Redmiles
/

A Quantitative and Qualitative Analysis of the Robustness of (Real-World) Election Winners
by Niclas Boehmer, Robert Bredereck, Piotr Faliszewski and Rolf Niedermeier
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Optimal Credit Scores Under Adverse Selection
by Andre Sztutman, Nicole Immorlica and Robert Townsend

A Heterogeneous Schelling Model for Wealth Disparity and its Effect on Segregation
by Zhanzhan Zhao and Dana Randall
/

Voluntary Information Disclosure in Deferred Acceptance: Efficiency Gains and Strategic Properties
by Andreas Bjerre-Nielsen and Emil Chrisander

Improving Maternal Healthcare Information Delivery Over Large Populations via Group Robust Restless Bandit Interventions
by Jackson Killian, Arpita Biswas, Lily Xu, Shresth Verma, Vineet Nair, Aparna Taneja, Aparna Hegde, Neha Madhiwalla, Paula Rodriguez Diaz, Sonja Johnson-Yu and Milind Tambe

AI-Competent Individuals and Laypeople Tend to Oppose Facial Analysis AI
by Chiara Ullstein, Severin Engelmann, Orestis Papakyriakopoulos, Michel Hohendanner and Jens Grossklags
/

Opinion Change or Differential Turnout: Austin’s Budget Feedback Exercise and the Police Department
by Lodewijk Gelauff and Ashish Goel
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Quantifiable disparate impacts of statistical uncertainty and privacy in Census-guided grants (non-archival)
by Ryan Steed, Terrance Liu, Zhiwei Steven Wu and Alessandro Acquisti
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It's Not Fairness, and It's Not Fair: The Failure of Distributional Equality and the Promise of Relational Equality in Complete-Information Hiring Games
by Benjamin Fish and Luke Stark
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Liquid Democracy in Practice: An Empirical Analysis of its Epistemic Performance
by Manon Revel, Daniel Halpern, Adam Berinsky and Ali Jadbabaie

Online Algorithms for Matching Platforms with Multi-Channel Traffic
by Vahideh Manshadi, Scott Rodilitz, Daniela Saban and Akshaya Suresh

Diverse Representation via Computational Participatory Elections - Lessons from a Case Study
by Florian Evéquoz, Johan Rochel, Vijay Keswani, L. Elisa Celis
/

Improving Citizen-initiated Police Reform Efforts through Interactive Design: A Case Study in County A
by Yongsu Ahn, Eliana Beigel, Noah Braun, Collin Griffin, Sera Linardi, Blair Mickles and Emmaline Rial
/

Capacity Planning in Stable Matching: An Application to School Choice (non-archival)
by Federico Bobbio, Margarida Carvalho, Andrea Lodi, Alfredo Torrico and Ignacio Rios
/

Algorithmic Rural Road Planning in India: Constrained Capacities and Choices in Public Sector
by Harsh Nisar, Deepak Gupta, Pankaj Kumar, Srinivasa Rao Murapaka, A. V. Rajesh and Alka Upadhyaya
/

Mathematically Quantifying Non-responsiveness of the 2021 Georgia Congressional Districting Plan
by Zhanzhan Zhao, Cyrus Hettle, Swati Gupta, Jonathan Mattingly, Dana Randall and Gregory Herschlag
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Understanding Implementation Challenges in Machine Learning Documentation
by Jiyoo Chang and Christine Custis
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Modeling Access Differences to Reduce Disparity in Resource Allocation
by Kenya Andrews, Mesrob Ohannessian and Tanya Berger-Wolf
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Towards Substantive conceptions of Algorithmic Fairness: Normative guidance from Equal Opportunity doctrines
by Falaah Arif Khan, Eleni Manis and Julia Stoyanovich
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Attrition of Workers with Marginalized Identities on AI Teams
by Jeffrey Brown, Tina Park, Jiyoo Chang, Mckane Andrus, Alice Xiang and Christine Custis
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On Meritocracy in Optimal Set Selection
by Thomas Kleine Buening, Meirav Segal, Debabrota Basu, Anne-Marie George and Christos Dimitrakakis
/

Adapting Bias in Algorithmic Pricing: Evidence from Insurance Industry
by Ozge Demirci


Accepted Posters

Bayesian Persuasion for Algorithmic Recourse
by Keegan Harris, Valerie Chen, Joon Sik Kim, Ameet Talwalkar, Hoda Heidari and Z. Steven Wu

Planning to Fairly Allocate: Probabilistic Fairness in the Restless Bandit Setting
by Christine Herlihy, Aviva Prins, Aravind Srinivasan and John Dickerson

Picking on the Same Person: Does Algorithmic Monoculture lead to Outcome Homogenization?
by Rishi Bommasani, Kathleen Creel, Ananya Kumar, Dan Jurafsky and Percy Liang

Probabilistic Rationing with Categorized Priorities: Processing Reserves Fairly and Efficiently
by Haris Aziz

Test me if you can - Providing optimal information for consumers through a novel product testing mechanism
by Ulrike Vollstaedt, Patrick Imcke, Franziska Brendel and Christiane Ehses-Friedrich

For One and All: Individual and Group Fairness in the Allocation of Indivisible Goods
by Jonathan Scarlett, Nicholas Teh and Yair Zick

Ranked Prioritization of Groups in Combinatorial Bandit Allocation
by Lily Xu, Arpita Biswas, Fei Fang and Milind Tambe

Accountability Infrastructure for Recommender Systems: Applying Lessons from Public Health to Mitigate Structural Harms
by Nathaniel Lubin and Thomas Gilbert

Dynamic Interventions for Networked Contagions
by Marios Papachristou, Siddhartha Banerjee and Jon Kleinberg

Collecting, Classifying, Analyzing, and Using Real-World Elections
by Niclas Boehmer and Nathan Schaar

A Critical Assessment of the Algorithmic Accountability Act of 2022
by Furkan Gursoy, Ryan Kennedy and Ioannis Kakadiaris

How to De-reserve Reserves: Admissions to Technical Colleges in India
by Orhan Aygün and Bertan Turhan

Measuring Fairness under Unawareness of Sensitive Attributes: A Quantification-Based Approach
by Alessandro Fabris, Andrea Esuli, Alejandro Moreo and Fabrizio Sebastiani

Towards An Inclusive AI: Challenges and Opportunities for Public Engagement in AI Development
by Tina Park

Humble Machines: Attending to the Underappreciated Costs of Misplaced Distrust
by Bran Knowles, Jason D’Cruz, John T. Richards and Kush R. Varshney

A Unifying Framework for Combining Complementary Strengths of Humans and ML toward Better Predictive Decision-Making
by Liu Leqi, Charvi Rastogi, Kenneth Holstein and Hoda Heidari

Adaptive maximization of social welfare
by Maximilian Kasy, Roberto Colomboni and Nicolo Cesa-Bianchi

AI and XAI: Bridging the awareness gap among underrepresented communities
by Isa Inuwa-Dutse

Matching with Transfers under Distributional Constraints
by Devansh Jalota, Michael Ostrovsky and Marco Pavone

Algorithmic Audit of Italian Car Insurance: Evidence of Unfairness in Access and Pricing
by Alessandro Fabris, Alan Mishler, Stefano Gottardi, Mattia Carletti, Matteo Daicampi, Gian Antonio Susto and Gianmaria Silvello

A Sandbox Tool to Bias(Stress)-Test Fairness Algorithms
by Nil-Jana Akpinar, Manish Nagireddy, Logan Stapleton, Hao-Fei Cheng, Haiyi Zhu, Steven Wu and Hoda Heidari

Leximax Approximations and Representative Cohort Selection
by Monika Henzinger, Charlotte Peale, Omer Reingold and Judy Hanwen Shen

Local Justice and ML: Modeling and Inferring Dynamic Ethical Judgments Around High-stakes Allocations
by Violet Chen, Joshua Williams, Derek Leben and Hoda Heidari

Towards Balanced Information Propagation in Social Media
by Mahmoudreza Babaei, Baharan Mirzasoleiman, Jungseock Joo and Adrian Weller

Equalizing credit opportunity in algorithms: Aligning algorithmic fairness research with U.S. fair lending regulation.
by I. Elizabeth Kumar, Keegan Hines and John P. Dickerson

Battle of the words: The symbiotic relationship between content moderation and language policy
by Mandy Lau

Diversity and Inclusion in Data Collection via Social Sampling
by Maximilian Nickel, Matthew Le and Levent Sagun

Constrained Multi-objective Optimization with Contextual Multi-Armed Bandits
by Henry Zhu, Alex Chohlas-Wood, Madison Coots, Sharad Goel and Emma Brunskill

Generalizing Group Fairness via Utilities
by Jack Blandin and Ian Kash

Does Fake News Content Create Echo Chambers?
by Jiding Zhang, Ken Moon and Senthil Veeraraghavan

How to Allocate and Access Equity of CS Education Resources
by Aaja Christie, Emma McDaniel, Chetan Tiwari, Armin Mikler and Anu Bourgeois

The Symptom in the Machine: Leveraging Symptom Search Data to Understand Disparities in U.S. Mental Health Care
by Ben Rochford, Sachin Pendse, Neha Kumar and Munmun De Choudhury

AI Data Policy and Discourse Among Healthcare Institutions
by Mahmoud Junior Suleman, Jess Kropczynski and Nora McDonald

Hacking Bias: Beyond Algorithmic Fairness
by Jess de Jesus de Pinho Pinhal

Racial Disparities in Arrests for Drug Violations in the US: What Can We Learn From Publicly Available Data?
by Bradley Butcher, Miri Zilka and Adrian Weller

Models of Fairness in Federated Learning
by Kate Donahue and Jon Kleinberg

A Human Rights Approach to Responsible AI
by Vinodkumar Prabhakaran, Margaret Mitchell, Timnit Gebru and Iason Gabriel

Spatial routing of mobile sensors in participatory air quality monitoring with motorcycles in a developing city.
by Daniel Mutembesa and Engineer Bainomugisha

An Anti-subordination Approach to Fair Classification
by Vijay Keswani and L. Elisa Celis

Optimizing the order of actions in contact tracing
by Michela Meister and Jon Kleinberg

Ranger Patrols Deter Poachers: Causal Inference with Bayesian Modeling and Field Tests as an Instrument
by Rachel Guo, Lily Xu and Andrew Perrault

Why We Need to Know More: Exploring the State of AI Incident Documentation Practices
by Violet Turri and Rachel Dzombak

Learning Optimal Fair Classification Trees
by Nathanael Jo, Phebe Vayanos, Andrés Gómez and Sina Aghaei

“You Can’t Fix What You Can’t Measure”: Privately Measuring Demographic Performance Disparities in Federated Learning
by Marc Juarez and Aleksandra Korolova

Is Envy-Freeness Fair? Social Psychology and the Limits of Ego Justification
by Joel Miller and Chris Kanich

An Audit of Images Used by Job Advertisers on Facebook, with Implications to Transparency Desiderata
by Varun Nagaraj Rao and Aleksandra Korolova

A Validity Perspective on Evaluating the Justified Use of Data-driven Decision-making Algorithms
by Amanda Coston, Anna Kawakami, Haiyi Zhu, Ken Holstein and Hoda Heidari

Evaluating Restless Multi-Armed Bandit Solutions to Resource Allocation Problems in Public Health
by Aditya Mate, Aparna Taneja and Milind Tambe

Small Area Estimation of Case Growths for Timely COVID-19 Outbreak Detection: A Machine Learning Approach
by Zilong Wang, Zhaowei She, Turgay Ayer and Jagpreet Chhatwal

PROPX Fair and Efficient Allocation of Indivisible Chores
by Haris Aziz, Bo Li, Herve Moulin, Xiaowei Wu and Xinran Zhu

Differential Enforcement and the Progression of Disparities within the Criminal Justice System
by Miri Zilka, Carolyn Ashurst, Riccardo Fogliato and Adrian Weller

Use of Algorithms in the Public Sector: Decision Support or Control Systems?
by Sanjana Malhotra, Harsh Nisar, Dibyendu Mishra and Richa Marwah

Welfare-guided Seeding with Time-constrained Data Collection
by Carlos Hurtado, M. Amin Rahimian, Md Sanzeed Anwar and Dean Eckles

Network bias for Job seekers: The impact of multi-hop referrals
by Yiguang Zhang, Reetahan Mukhopadhyay and Augustin Chaintreau

County-level Algorithmic Audit of Racial Bias in Twitter’s Home Timeline
by Luca Belli, Kyra Yee, Uthaipon Tantipongpipat, Aaron Gonzales, Kristian Lum and Moritz Hardt