Algorithms for reliable decision-making need causal reasoning

DOI:	https://doi.org/10.1038/s43588-025-00814-9
URL:	https://www.nature.com/articles/s43588-025-00814-9
Document Type:	Article
Year of publication Online:	2025
Date:	27 May 2025
The title of a journal, publication series:	Nature Computational Science
Volume:	5
Page range:	356-360
Place of publication:	London
Publishing house:	Nature Research
ISSN:	2662-8457
Publication language:	English
Institution:	Außerfakultäre Einrichtungen > Mannheim Centre for European Social Research - Research Department A
Subject:	004 Computer science, internet
Abstract:	Decision-making inherently involves cause--effect relationships that introduce causal challenges. We argue that reliable algorithms for decision-making need to build upon causal reasoning. Addressing these causal challenges requires explicit assumptions about the underlying causal structure to ensure identifiability and estimatability, which means that the computational methods must successfully align with decision-making objectives in real-world tasks.

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