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Harm and risks of harm

Authors: Zhou, Yan Kai;

Harm and risks of harm

Abstract

This thesis considers two interrelated questions that have seen a renewed interest in the jurisprudential literature: (1) what does it mean to suffer harm, and (2) do those exposed to a risk of harm suffer harm solely in virtue of that exposure. Part 1 of the thesis provides an answer to the first question. Specifically, in Section 1 of Part 1, I argue that the appropriate baseline for determining whether someone suffers harm is the historical baseline (e.g. a person suffers harm if and only if they are worse off than they were before). Section 2 of Part 1 then argues that the appropriate currency for harm determinations is the concept of wellbeing (e.g. whether someone suffers harm is a question about their level of wellbeing). Part 2 of the thesis provides an answer to the second question. Section 1 of Part 2 begins by exploring the concept of risk itself, and defends a probabilistic conception of risk (e.g. where the risk of an event or state of affairs just is the probability that it will occur or obtain). Section 2 of Part 2 then takes that conception of risk and argues that those exposed to unwanted risks of harm can be said to have suffered harm—on a desire-based account of wellbeing—solely in virtue of that exposure.

Country
United Kingdom
Related Organizations
Keywords

wellbeing, harm, risk

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green