2021
DOI: 10.1007/s10670-021-00457-y
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The Precautionary Principle and Expert Disagreement

Abstract: The Precautionary Principle is typically construed as a conservative decision rule aimed at preventing harm. But Martin Peterson (JME 33: 5–10, 2007; The ethics of technology: A geometric analysis of five moral principles, Oxford University Press, Oxford, 2017) has argued that the principle is better understood as an epistemic rule, guiding decision-makers in forming beliefs rather than choosing among possible acts. On the epistemic view, he claims there is a principle concerning expert disagreement underlying… Show more

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Cited by 2 publications
(2 citation statements)
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“…The precautionary principle is a conservative decision rule used to reduce the risk of disease when the risk is not completely known but has the potential for critical damage [ 70 ]. While some debate exists due to the principle’s vague definition [ 71 ], in many instances, it seems relevant to take preventative action to prevent harm, even if the likelihood of harm is uncertain [ 68 ]. A relevant example of autism includes the avoidance of artificial sweeteners during pregnancy.…”
Section: Discussionmentioning
confidence: 99%
“…The precautionary principle is a conservative decision rule used to reduce the risk of disease when the risk is not completely known but has the potential for critical damage [ 70 ]. While some debate exists due to the principle’s vague definition [ 71 ], in many instances, it seems relevant to take preventative action to prevent harm, even if the likelihood of harm is uncertain [ 68 ]. A relevant example of autism includes the avoidance of artificial sweeteners during pregnancy.…”
Section: Discussionmentioning
confidence: 99%
“…Another application of our framework is to study in more detail reasoning in the context of multiple agents (e.g., considering testimony, higher-order evidence, and dialogue ). According to (Elkin and Wheeler, 2016;Elkin, 2021;Henderson, 2021) situations of peer disagreements and/or where higher-order evidence matters (e.g., evidence provided by expert panels, etc.) should not be modeled by naively aggregating beliefs, since this may overstate precision, but it should be modeled in terms of credal sets, i.e., in terms of HOU.…”
Section: Figurementioning
confidence: 99%