Literature DB >> 30229973

From Ideal to Real Risk: Philosophy of Causation Meets Risk Analysis.

Rani Lill Anjum1, Elena Rocca1.   

Abstract

A question has been raised in recent years as to whether the risk field, including analysis, assessment, and management, ought to be considered a discipline on its own. As suggested by Terje Aven, unification of the risk field would require a common understanding of basic concepts, such as risk and probability; hence, more discussion is needed of what he calls "foundational issues." In this article, we show that causation is a foundational issue of risk, and that a proper understanding of it is crucial. We propose that some old ideas about the nature of causation must be abandoned in order to overcome certain persisting challenges facing risk experts over the last decade. In particular, we discuss the challenge of including causally relevant knowledge from the local context when studying risk. Although it is uncontroversial that the receptor plays an important role for risk evaluations, we show how the implementation of receptor-based frameworks is hindered by methodological shortcomings that can be traced back to Humean orthodoxies about causation. We argue that the first step toward the development of frameworks better suited to make realistic risk predictions is to reconceptualize causation, by examining a philosophical alternative to the Humean understanding. In this article, we show how our preferred account, causal dispositionalism, offers a different perspective in how risk is evaluated and understood.
© 2018 Society for Risk Analysis.

Entities:  

Keywords:  Causation; local knowledge; norms; practice; risk assessment

Year:  2018        PMID: 30229973     DOI: 10.1111/risa.13187

Source DB:  PubMed          Journal:  Risk Anal        ISSN: 0272-4332            Impact factor:   4.000


  1 in total

1.  Philosophical bias is the one bias that science cannot avoid.

Authors:  Fredrik Andersen; Rani Lill Anjum; Elena Rocca
Journal:  Elife       Date:  2019-03-13       Impact factor: 8.140

  1 in total

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