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Publications
2024
Wise Fusion: Group Fairness Enhanced Rank Fusion
Kathleen Cachel and Elke Rundensteiner
ACM International Conference on Information and Knowledge Management. (CIKM) 2024
FairRankTune: A Python Toolkit for Fair Ranking Tasks
Kathleen Cachel and Elke Rundensteiner
ACM International Conference on Information and Knowledge Management. (CIKM) 2024
Hidden or Inferred: Fair Learning-To-Rank with Unknown Demographics
Oluseun Olulana, Kathleen Cachel , Fabricio Murai, and Elke Rundensteiner
ACM/AAAI Conference on AI, Ethics, and Society. (AIES) 2024
Prefair: Combining Partial Preferences for Fair Consensus Decision-making
Kathleen Cachel and Elke Rundensteiner
ACM Conference on Fairness, Accountability, and Transparency. (FAccT) 2024
Balancing Act: Evaluating People’s Perceptions of Fair Ranking Metrics
Kathleen Cachel , Hilson Shrestha, Lane Harrison, and Elke Rundensteiner
ACM Conference on Fairness, Accountability, and Transparency. (FAccT) 2024
2023
FairRankTune: A User-Friendly Toolkit Supporting Fair Ranking Tasks - Non-archival track
Kathleen Cachel and Elke Rundensteiner
ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization. (EAAMO) 2023
Toolkit ]
Fair & Share: Fast and Fair Multi-Criteria Selections
Kathleen Cachel and Elke Rundensteiner
ACM International Conference on Information and Knowledge Management. (CIKM) 2023
Code ]
Ranked Candidate Fairness in Preference Aggregation
Kathleen Cachel
AAAI/ACM Conference on AI, Ethics, and Society - Student Abstract. (AIES) 2023
Poster ]
Fairer Together: Mitigating Disparate Exposure in Kemeny Rank Aggregation
Kathleen Cachel and Elke Rundensteiner
ACM Conference on Fairness, Accountability, and Transparency. (FAccT) 2023
Code ] [Video ]
Help or Hinder? Evaluating the Impact of Fairness Metrics and Algorithms in Visualizations for Consensus Ranking
Kathleen Cachel , Mallak Alkhathlan, Elke Rundensteiner, and Lane Harrison
ACM Conference on Fairness, Accountability, and Transparency. (FAccT) 2023
[Video ]
2022
