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The Precautionary Principle and Expert Disagreement - nowa publikacja autorstwa Lee Elkina

<span lang='en'>The Precautionary Principle and Expert Disagreement </span>- nowa publikacja autorstwa Lee Elkina

The Precautionary Principle is typically construed as a conservative decision rule aimed at preventing harm. But Martin Peterson 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 precautionary-based reasoning called the ecumenical principle.

Abstrakt

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 precautionary-based reasoning called the ecumenical principle: all expert views should be considered in a precautionary appraisal, not just those that are the most prominent or influential. In articulating the doxastic commitments of decision-makers under this constraint, Peterson precludes any probabilistic rule that might result in combining expert opinions. For combined or consensus probabilities are likely to provide decision-makers with information that is more precise than warranted. Contra Peterson, I argue that upon adopting a broader conception of probability, there is a probabilistic rule, under which expert opinions are combined, that is immune to his criticism and better represents the ecumenical principle.

Link do artykułu

Elkin, L. (2021). The Precautionary Principle and Expert Disagreement. Erkenn. https://doi.org/10.1007/s10670-021-00457-y

 

This research has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation program [grant agreement 805498].