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AI and Core Electoral Processes: Mapping the Horizons
In this paper, we consider five representative avenues within the core electoral process which have potential for AI usage, and map the challenges involved in using AI within them.
Cluster-level Group Representativity Fairness in $k$-means Clustering
There has been much interest recently in developing fair clustering algorithms that seek to do justice to the representation of groups defined along sensitive attributes such as race and gender.
Exploring Rawlsian Fairness for K-Means Clustering
Our focus is on the task of clustering, specifically the k-means clustering algorithm.
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