1 code implementation • 14 Dec 2023 • Fritz Bayer, Drago Plecko, Niko Beerenwinkel, Jack Kuipers
Our approach enables the specification of the causal fairness metrics that should be minimised.
no code implementations • 8 Jun 2023 • 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.
no code implementations • 23 Jul 2022 • Drago Plecko, Elias Bareinboim
The main insight of our approach will be to link the quantification of the disparities present on the observed data with the underlying, and often unobserved, collection of causal mechanisms that generate the disparity in the first place, challenge we call the Fundamental Problem of Causal Fairness Analysis (FPCFA).
no code implementations • 12 Jul 2021 • Michael Moor, Nicolas Bennet, Drago Plecko, Max Horn, Bastian Rieck, Nicolai Meinshausen, Peter Bühlmann, Karsten Borgwardt
Here, we developed and validated a machine learning (ML) system for the prediction of sepsis in the ICU.