FairFuse: Interactive Visual Support for Fair Consensus Ranking
FairFuse: Interactive Visual Support for Fair Consensus Ranking
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DOI：
10.1109/vis54862.2022.00022
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发表时间：
2022-07
期刊：
影响因子：
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通讯作者：
Hilson Shrestha;Kathleen Cachel;Mallak Alkhathlan;Elke A. Rundensteiner;Lane Harrison
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文献类型：
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作者：
Hilson Shrestha;Kathleen Cachel;Mallak Alkhathlan;Elke A. Rundensteiner;Lane Harrison
公平的共识构建将多个排名者的偏好组合成一个单一的共识排名，同时确保由受保护属性（如种族或性别）定义的任何群体与其他群体相比都不会处于劣势。手动生成一个公平的共识排名既耗时又不切实际——即使对于相当少的候选人也是如此。虽然已经开发了审计和产生公平共识排名的算法方法，但这些方法尚未在交互式系统中实施。为了弥合这一差距，我们引入了FairFuse，一个用于生成、分析和审计公平共识排名的可视化系统。我们构建了一个数据模型，其中包括排名者输入的基本排名，增加了群体公平的措施，以及生成具有不同程度公平的共识排名的算法。我们设计了新颖的可视化，将这些措施编码为平行坐标风格的排名可视化，并通过交互生成和探索公平的共识排名。我们描述了FairFuse在公平性很重要的排名场景中支持决策者的用例，并讨论了未来支持以公平性为导向的排名分析所面临的新挑战。代码和演示视频可在https://osf.io/hd639/获得。
Fair consensus building combines the preferences of multiple rankers into a single consensus ranking, while ensuring any group defined by a protected attribute (such as race or gender) is not disadvantaged compared to other groups. Manually generating a fair consensus ranking is time-consuming and impractical- even for a fairly small number of candidates. While algorithmic approaches for auditing and generating fair consensus rankings have been developed, these have not been operationalized in interactive systems. To bridge this gap, we introduce FairFuse, a visualization system for generating, analyzing, and auditing fair consensus rankings. We construct a data model which includes base rankings entered by rankers, augmented with measures of group fairness, and algorithms for generating consensus rankings with varying degrees of fairness. We design novel visualizations that encode these measures in a parallel-coordinates style rank visualization, with interactions for generating and exploring fair consensus rankings. We describe use cases in which FairFuse supports a decision-maker in ranking scenarios in which fairness is important, and discuss emerging challenges for future efforts supporting fairness-oriented rank analysis. Code and demo videos available at https://osf.io/hd639/.