Accepted Papers


Food Subsidies at the Base-of-the-Pyramid: Take-up, Substitution and Nutrition
Alp Sungu, Kamalini Ramdas and Ali Aouad

Design on Matroids: Diversity vs. Meritocracy
Isa Hafalir, Fuhito Kojima, M. Bumin Yenmez and Koji Yokote

Estimating Racial Disparities When Race is Not Observed
Cory McCartan, Jacob Goldin, Daniel Ho and Kosuke Imai

Towards a Better Understanding of the Computer Vision Research Community in Africa
Abdul-Hakeem Omotayo, Mai Gamal, Eman Ehab, Gbetondji Dovonon, Zainab Akinjobi, Houcemeddine Turki, Ismaila Lukman, Mahmod Abdien, Idriss Tondji, Abigail Oppong, Yvan Pimi, Karim Gamal and Mennatullah Siam

Optimal Top-n Policy
Kentaro Tomoeda, Isa Hafalir and Siqi Pan

The AI Incident Database as an Educational Tool to Raise Awareness of AI Harms: A Classroom Exploration of Efficacy, Limitations, & Future Improvements
Michael Feffer, Nikolas Martelaro and Hoda Heidari

Learning from a Biased Sample
Roshni Sahoo, Lihua Lei and Stefan Wager

Equal Pay for Similar Work
Diego Gentile, Fuhito Kojima and Bobby Pakzad-Hurson

Is Your Model Predicting the Past?
Moritz Hardt and Michael P. Kim

A Classification of Feedback Loops and Their Relation to Biases in Automated Decision-Making Systems
Nicolo Pagan, Joachim Baumann, Ezzat Elokda, Giulia De Pasquale, Saverio Bolognani and Anikó Hannák

Power and Public Participation in AI
Eric Corbett, Emily Denton and Sheena Erete

Designing Fiduciary Artificial Intelligence
Sebastian Benthall and David Shekman

Empowering Collective Impact: Introducing the SWAP System for Resource Sharing
Weixiao Huang, Elise J. Deshusses, Jennifer Pazour, Yunus Telliel and Andrew C. Trapp

Fairness Without Demographic Data - A Survey of Approaches
Carolyn Ashurst and Adrian Weller

Implications of Worker Classification in On-Demand Economy
Zhoupeng Zhang, Ming Hu and Jianfu Wang

A Critique of the 2021 National Institute of Justice Recidivism Forecasting Challenge
Tobi Jegede, Marissa Gerchick, Amreeta Mathai and Aaron Horowitz

Disincentivizing Polarization in Social Networks
Christian Borgs, Jennifer Chayes, Christian Ikeokwu and Ellen Vitercik

FETA: Fairness Enforced Verifying, Training, and Predicting Algorithms for Neural Networks
Kiarash Mohammadi, Aishwarya Sivaraman and Golnoosh Farnadi

Mitigating demographic bias of machine learning models on social media
Yanchen Wang and Lisa Singh

Algorithmic Harm in Consumer Markets
Oren Bar-Gill, Cass Sunstein and Inbal Talgam-Cohen

Votemandering: Strategies and Fairness in Political Redistricting
Sanyukta Deshpande, Ian Ludden and Sheldon Jacobson

30 Million Canvas Records Reveal Widespread Sequential Bias and System-design Induced Surname Initial Disparity in Grading
Jiaxin Pei, Zhihan Wang and Jun Li

Setting the Right Expectations: Algorithmic Recourse Over Time
Joao Fonesca, Andrew Bell, Carlo Abrate, Francesco Bonchi and Julia Stoyanovich

Potty Parity: Process Flexibility via Unisex Restroom (non-archival)
Setareh Farajollahzadeh and Ming Hu

Deploying a Robust Active Preference Elicitation Algorithm: Experiment Design, Interface, and Evaluation for COVID-19 Patient Prioritization
Caroline Johnston, Patrick Vossler, Simon Blessenohl and Phebe Vayanos

Studying Up Public Sector AI: Shifting Our Gaze Upwards to Study Systems of Power in Public Sector AI
Anna Kawakami, Amanda Coston, Hoda Heidari, Kenneth Holstein and Haiyi Zhu

Common Voice and accent choice: data contributors self-describe their spoken accents in diverse ways
Kathy Reid and Elizabeth T. Williams

Toward Operationalizing Pipeline-aware ML Fairness: A Research Agenda for Developing Practical Guidelines and Tools
Emily Black, Rakshit Naidu, Rayid Ghani, Kit Rodolfa and Hoda Heidari

Overbooking with Priority-Respecting Reassignment (non-archival)
Itai Ashlagi, Andrei Graur, Irene Lo and Katherine Mentzer

The Participatory Turn in AI Design: Theoretical Foundations and the Current State of Practice
Fernando Delgado, Stephen Yang, Michael Madaio and Qian Yang


Stereotypes Make Certain Machine Learning Errors More Experientially Harmful
Angelina Wang, Xuechunzi Bai, Solon Barocas and Su Lin Blodgett

Counterfactual Situation Testing: Uncovering Discrimination under Fairness given the Difference
Jose Alvarez and Salvatore Ruggieri

Taking Off with AI: Lessons from Aviation for Healthcare
Elizabeth Bondi-Kelly, Tom Hartvigsen, Lindsay Sanneman, Swami Sankaranarayanan, Zach Harned, Grace Wickerson, Judy Wawira Gichoya, Lauren Oakden-Rayner, Leo Anthony Celi, Matthew Lungren, Julie Shah and Marzyeh Ghassemi

Credit-Based Congestion Pricing: Equilibrium Properties and Optimal Scheme Design
Devansh Jalota, Jessica Lazarus, Alexandre Bayen and Marco Pavone

Balancing Fairness and Efficiency in Traffic Routing via Interpolated Traffic Assignment
Devansh Jalota, Kiril Solovey, Matthew Tsao, Stephen Zoepf and Marco Pavone

Fairness and Sequential Decision Making: Limits, Lessons, and Opportunities (non-archival)
Samer Nashed, Justin Svegliato and Su Lin Blodgett

Characterizing Manipulation from AI Systems
Micah Carroll, Alan Chan, Henry Ashton and David Krueger

Counterfactually Fair Dynamic Assignment: A Case Study on Policing (non-archival)
Tasfia Mashiat, Xavier Gitiaux, Huzefa Rangwala and Sanmay Das

PaperCard for Reporting Machine Assistance in Academic Writing (non-archival)
Won Ik Cho, Eunjung Cho and Kyunghyun Cho

Distributive Justice as the Foundational Premise of Fair ML: Unification, Extension, and Interpretation of Group Fairness Metrics (non-archival)
Joachim Baumann, Corinna Hertweck, Michele Loi and Christoph Heitz

Average Envy-freeness for Indivisible Items
Qishen Han, Biaoshuai Tao and Lirong Xia

Sharing the Winnings of AI with Data Dividends: Challenges with ‘‘Meritocratic’’ Data Valuation (non-archival)
Nicholas Vincent and Brent Hecht

FairMILE: Towards an Efficient Framework for Fair Graph Representation Learning
Yuntian He, Saket Gurukar and Srinivasan Parthasarathy

Explanations, Fairness, and Appropriate Reliance in Human-AI Decision-Making (non-archival)
Jakob Schoeffer, Maria De-Arteaga and Niklas Kuehl

Designing the Menu of Licenses for Foster Care
Diana MacDonald and Ahmet Altinok

Private Blotto: Viewpoint Competition with Polarized Agents
Kate Donahue and Jon Kleinberg

FATE in AI: Towards Algorithmic Inclusivity and Accessibility (non-archival)
Isa Inuwa-Dutse

Terms-we-Serve-with: Five dimensions for anticipating and repairing algorithmic harm
Bogdana Rakova, Renee Shelby and Megan Ma

Learning to Explain Voting Rules (non-archival)
Inwon Kang, Qishen Han and Lirong Xia

Inclusive Portraits: Race-Aware Human-in-the-Loop Technology
Claudia Flores-Saviaga, Christopher Curtis, Saiph Savage

Test Scores, Classroom Performance, and Capacity in Academically Selective School Program Admissions
Nabit Bajwa and Sanmay Das

Strategic Evaluation
Benjamin Laufer, Helen Nissenbaum, Jon Kleinberg and Karen Levy

Fairness in Matching under Uncertainty
Siddartha Devic, David Kempe, Vatsal Sharan and Aleksandra Korolova

Informational Diversity and Affinity Bias in Team Growth Dynamics
Hoda Heidari, Solon Barocas, Jon Kleinberg and Karen Levy

Fairness and representation in satellite-based poverty maps: Evidence of urban-rural disparities and their impacts on downstream policy
Emily Aiken, Esther Rolf and Joshua Blumenstock

FeedbackLogs: Recording and Incorporating Stakeholder Feedback into Machine Learning Pipelines
Matthew Barker, Emma Kallina, Dhananjay Ashok, Katherine Collins, Ashley Casovan, Adrian Weller, Ameet Talwalkar, Valerie Chen and Umang Bhatt

Optimizing Sponsored Humanitarian Parole
Fatemeh Farajzadeh, Ryan Killea, Alexander Teytelboym and Andrew C. Trapp

Gender Biases in the Amazon Halo’s Analysis of Spoken Tone
Christina Yeung, Umar Iqbal, Tadayoshi Kohno and Franziska Roesner

FairRankTune: A User-Friendly Toolkit Supporting Fair Ranking Tasks (non-archival)
Kathleen Cachel and Elke Rundensteiner

Moving targets: When does a poverty prediction model need to be updated?
Emily Aiken, Tim Ohlenburg and Joshua Blumenstock

The Myth of “The Algorithm”: A system-level view of algorithmic amplification (non-archival)
Kristian Lum and Tomo Lazovich

Exploring Police Perspectives on Algorithmic Transparency: A Qualitative Analysis of Police Interviews in the UK
Miri Zilka, Carolyn Ashurst, Luke Chambers, Ellen P. Goodmann, Pamela Ugwudike and Marion Oswald

Communications on Fairness Assessments in the Public Sector: An Analysis of Roles, Skills, and Responsibilities from Dutch Use-Cases (non-archival)
Mirthe Dankloff, Vanja Skoric, Giovanni Sileno, Sennay Ghebreab, Jacco van Ossenbruggen and Emma Beauxis-Aussalet

Algorithmic Censoring in Dynamic Learning Systems
Jennifer Chien, Margaret Roberts and Berk Ustun

The Effects of Competition on Corporate Sustainability
Mike Gordon, Titing Cui, Jennifer Shang, Esther Gal-Or and Michael Hamilton

Fairness in Algorithmic Profiling: The AMAS Case
Eva Achterhold, Monika Mühlböck, Nadia Steiber and Christoph Kern

Fair contrastive pre-training for geographic image segmentation (non-archival)
Miao Zhang and Rumi Chunara

An Epistemic Lens on Algorithmic Fairness
Elizabeth Edenberg and Alexandra Wood

A Data-driven Approach to Improve Artisans' Productivity in Distributed Supply Chains (non-archival)
Divya Singhvi, Somya Singhvi and Xinyu Zhang

Media Coverage of Predictive Policing: Bias, Police Engagement, and the Future of Transparency
Harry Camilleri, Carolyn Ashurst, Nithya Jaisankar, Adrian Weller and Miri Zilka

Achieving Rawlsian Justice in Food Rescue
Gerdus Benade and Aydin Alptekinoglu

Uniformly Bounded Regret in Dynamic Fair Allocation
Santiago R. Balseiro and Shangzhou Xia

Algorithmic Pluralism: A Structural Approach Towards Equal Opportunity (non-archival)
Shomik Jain, Vinith Suriyakumar, Kathleen Creel, and Ashia Wilson

Addressing Strategic Manipulation Disparities in Fair Classification
Vijay Keswani and L. Elisa Celis

Application Mistakes and Information frictions in College Admissions (non-archival)
Tomas Larroucau, Ignacio Rios, Christopher Neilson, Anais Fabre and Manuel Martinez

Faster Information for Effective LTC Discharge, A Field Study in Adult Foster Care
Vince Bartle, Nicola Dell and Nikhil Garg

Using AI/ML to evaluate the distribution of community development aid across Myanmar (non-archival)
Woojin Jung, Dimitrios Ntarlagiannis and Saeed Ghadimi

Adoption Platform Design to Improve Outcomes for Children with Disabilities
Ludwig Dierks, Vincent Slaugh and Utku Unver

Should they? Mobile Biometrics and Technopolicy meet Queer Community Considerations
Alicia Boyd, Davi Liang and Anaelia Ovalle

Designing Equitable Transit Networks
Sophie Pavia, Juan Carlos Martínez Mori, Philip Pugliese, Abhishek Dubey, Samitha Samaranayake and Ayan Mukhopadhyay

Target the vulnerable? An analysis of rapid rehousing prioritization
Nick Arnosti and Felipe Simon

Unraveling the Interconnected Axes of Heterogeneity in Machine Learning for Democratic and Inclusive Advancements
Maryam Molamohammadi, Afaf Taïk, Nicolas Le Roux and Golnoosh Farnadi

The Unequal Opportunities of Large Language Models: Examining Demographic Biases in Job Recommendations by ChatGPT and LLaMA
Abel Salinas, Parth Shah, Yuzhong Huang, Robert McCormack and Fred Morstatter

Stable Matching with Adaptive Priorities
Federico Bobbio, Margarida Carvalho, Ignacio Rios and Alfredo Torrico

To Produce and Serve: Computers, Capital, and the State (non-archival)
P Krafft

Technologies of Resistance to AI (non-archival)
William Agnew, Kevin McKee, Iason Gabriel, Jackie Kay, William Isaac, Stevie Bergman, Seliem El-Sayed and Shakir Mohamed

Policy Fairness and Unknown Bias Dynamics in Sequential Allocations
Meirav Segal, Anne-Marie George and Christos Dimitrakakis

QUINTA: Reflexive Sensibility For Responsible AI Research and Data-Driven Processes (non-archival)
Alicia Boyd and Anaelia Ovalle\