Causal Fairness for Survival Analysis
In the data-driven era, large-scale datasets are routinely collected and analyzed using machine learning (ML) and artificial intelligence (AI) to inform decisions in high-stakes domains such as healthcare, employment, and criminal justice, raising concerns about the fairness behavior of these systems. Existing works in fair ML cover tasks such as bias detection, fair prediction, and fair decision-making, but largely focus on static settings. At the same time, fairness in temporal contexts, parti
Record details
Published: 12 May 2026
Source: arXiv
Category: Research
Topics: Bias & fairness · Jobs & economy · Healthcare
Retrieved: 14 July 2026
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How to cite this record
ethics.ai (12 May 2026), “Causal Fairness for Survival Analysis,” evidence record 4521, https://ethics.ai/record/4521 (originally published by arXiv).
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