Publications

2024

• Prefair: Combining Partial Preferences for Fair Consensus Decision-making
  Kathleen Cachel and Elke Rundensteiner
  ACM Conference on Fairness, Accountability, and Transparency. (FAccT) 2024
  Upcoming June 2024
• Balancing Act: Evaluating People’s Perceptions of Fair Ranking Metrics
  Mallak Alkhathlan, 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
  Hilson Shrestha, Kathleen Cachel, Mallak Alkhathlan, Elke Rundensteiner, and Lane Harrison
  ACM Conference on Fairness, Accountability, and Transparency. (FAccT) 2023 [Video]

2022

• FairFuse Interactive Visual Support for Fair Consensus Ranking
  Hilson Shrestha, Kathleen Cachel, Mallak Alkhathlan, Elke Rundensteiner, and Lane Harrison
  IEEE Visualization and Visual Analytics. (VIS) 2022
  [Code]
• FINS Auditing Framework: Group Fairness for Subset Selections
  Kathleen Cachel and Elke Rundensteiner
  AAAI/ACM Conference on AI, Ethics, and Society. (AIES) 2022
  [Code] [Pypi]
• MANI-RANK: Multi-attribute and Intersectional Group Fairness for Consensus Ranking
  Kathleen Cachel, Elke Rundensteiner, Lane Harrison
  IEEE International Conference on Data Engineering. (ICDE) 2022
  [Code] [Video]