Taking Ethics, Fairness, and Bias Seriously in Machine Learning for Disaster Risk Management

This paper highlights an important, if under-examined, set of questions about the deployment of machine learning technologies in the field of disaster risk management (DRM). While emerging tools show promising capacity to support scientific efforts to better understand and mitigate the threats posed...

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Hauptverfasser: Soden, Robert, Wagenaar, Dennis, Luo, Dave, Tijssen, Annegien
Format: Artikel
Sprache:eng
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