How does the Neural Sensitivity Framework address causal fairness with unobserved confounding?

Original title: Causal Fairness under Unobserved Confounding: A Neural Sensitivity Framework Authors: Maresa Schröder, Dennis Frauen, Stefan Feuerriegel The article highlights the importance of fairness in machine learning predictions for legal, ethical, and societal reasons.…

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How Do You Create Fair Policies for Dynamic Systems in the Long Run?

Original title: Designing Long-term Group Fair Policies in Dynamical Systems Authors: Miriam Rateike, Isabel Valera, Patrick Forré In this paper, the focus is on ensuring fairness in algorithmic decision-making over the long term. They highlight…

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