Abstract is missing.
- A Heterogeneous Schelling Model for Wealth Disparity and its Effect on SegregationZhanzhan Zhao, Dana Randall. [doi]
- Tackling Documentation Debt: A Survey on Algorithmic Fairness DatasetsAlessandro Fabris, Stefano Messina, Gianmaria Silvello, Gian Antonio Susto. [doi]
- Improving Citizen-initiated Police Reform Efforts through Interactive Design: A Case Study in Allegheny CountyYongsu Ahn, Eliana Beigel, Noah Braun, Collin Griffin, Sera Linardi, Blair Mickles, Emmaline Rial. [doi]
- Algorithmic Rural Road Planning in India: Constrained Capacities and Choices in Public SectorHarsh Nisar, Deepak Gupta, Pankaj Kumar, Srinivasa Rao Murapaka, A. V. Rajesh, Alka Upadhyaya. [doi]
- FairEGM: Fair Link Prediction and Recommendation via Emulated Graph ModificationSean Current, Yuntian He, Saket Gurukar, Srinivasan Parthasarathy 0001. [doi]
- Fair Decision-Making for Food InspectionsShubham Singh, Bhuvni Shah, Chris Kanich, Ian A. Kash. [doi]
- A Quantitative and Qualitative Analysis of the Robustness of (Real-World) Election WinnersNiclas Boehmer, Robert Bredereck, Piotr Faliszewski, Rolf Niedermeier. [doi]
- Diverse Representation via Computational Participatory Elections - Lessons from a Case StudyFlorian Evéquoz, Johan Rochel, Vijay Keswani, L. Elisa Celis. [doi]
- Bias, Consistency, and Partisanship in U.S. Asylum Cases: A Machine Learning Analysis of Extraneous Factors in Immigration Court DecisionsVyoma Raman, Catherine Vera, C. J. Manna. [doi]
- Participation Is not a Design Fix for Machine LearningMona Sloane, Emanuel Moss, Olaitan Awomolo, Laura Forlano. [doi]
- Towards Substantive Conceptions of Algorithmic Fairness: Normative Guidance from Equal Opportunity DoctrinesFalaah Arif Khan, Eleni Manis, Julia Stoyanovich. [doi]
- It's Not Fairness, and It's Not Fair: The Failure of Distributional Equality and the Promise of Relational Equality in Complete-Information Hiring GamesBenjamin Fish, Luke Stark. [doi]
- Understanding Implementation Challenges in Machine Learning DocumentationJiyoo Chang, Christine Custis. [doi]
- On Meritocracy in Optimal Set SelectionThomas Kleine Buening, Meirav Segal, Debabrota Basu, Anne-Marie George, Christos Dimitrakakis. [doi]
- Attrition of Workers with Minoritized Identities on AI TeamsJeffrey Brown, Tina Park, Jiyoo Chang, McKane Andrus, Alice Xiang, Christine Custis. [doi]
- Modeling Access Differences to Reduce Disparity in Resource AllocationKenya Andrews, Mesrob Ohannessian, Tanya Y. Berger-Wolf. [doi]
- AI-Competent Individuals and Laypeople Tend to Oppose Facial Analysis AIChiara Ullstein, Severin Engelmann, Orestis Papakyriakopoulos, Michel Hohendanner, Jens Grossklags. [doi]
- Dimensions of Diversity in Human Perceptions of Algorithmic FairnessNina Grgic-Hlaca, Gabriel Lima, Adrian Weller, Elissa M. Redmiles. [doi]
- Mathematically Quantifying Non-responsiveness of the 2021 Georgia Congressional Districting PlanZhanzhan Zhao, Cyrus Hettle, Swati Gupta, Jonathan Christopher Mattingly, Dana Randall, Gregory Joseph Herschlag. [doi]
- Power to the People? Opportunities and Challenges for Participatory AIAbeba Birhane, William Isaac, Vinodkumar Prabhakaran, Mark Diaz, Madeleine Clare Elish, Iason Gabriel, Shakir Mohamed. [doi]
- Opinion Change or Differential Turnout: Austin's Budget Feedback Exercise and the Police DepartmentLodewijk L. Gelauff, Ashish Goel. [doi]