13 citations · 24 across the 15 of their papers we have counts for
4 papers · 1 filter
Fair Clustering: A Causal Perspective
Fritz Bayer, Drago Plecko, Niko Beerenwinkel +1
Clustering algorithms may unintentionally propagate or intensify existing disparities, leading to unfair representations or biased decision-making. Current fair clustering methods…
A Causal Framework for Decomposing Spurious Variations
Drago Plecko, Elias Bareinboim
One of the fundamental challenges found throughout the data sciences is to explain why things happen in specific ways, or through which mechanisms a certain variable exerts inf…
Causal Fairness for Outcome Control
Drago Plecko, Elias Bareinboim
As society transitions towards an AI-based decision-making infrastructure, an ever-increasing number of decisions once under control of humans are now delegated to automated system…
Reconciling Predictive and Statistical Parity: A Causal Approach
Drago Plecko, Elias Bareinboim
Since the rise of fair machine learning as a critical field of inquiry, many different notions on how to quantify and measure discrimination have been proposed in the literature. S…