This thesis comprises a study of the ethical thought of Iris Murdoch with special emphasis, as evidenced by the title, on how morality is intimately connected to self-improvement aiming at perfection and how the study of fiction has an important role to play in our strive towards bettering ourselves within the framework set by Murdoch’s moral philosophy.

In recruitment, promotion, admission, and other forms of wealth and power apportion, an evaluator typically ranks a set of candidates in terms of their perceived competence. If the evaluator is prejudiced, the resulting ranking will misrepresent the candidates’ actual ranking. This constitutes not only a moral and a practical problem, but also an epistemological one, which begs the question of what we should do – epistemologically – to mitigate it. The article is an attempt to begin to answer this question. (...) I first explore the presuppositions that must obtain for individual interventions to likely yield positive epistemological effects in ranking situations. I then compare these with the corresponding presuppositions of a novel, ‘post hoc’ approach to deprejudicing due to Jönsson and Sjödahl (Episteme 14(4):499–517, 2017), which does not attempt to change evaluators but attempts to increase the veracity of the rankings they produce after the fact (but before the rankings give rise to discriminatory effects) using statistical methods. With these two sets of presuppositions in place, I describe the limitations imposed by each presupposition on its intervention, compare presuppositions across the two kinds of interventions, and conclude that the two kinds of interventions importantly complement each other by having fairly disjoint, but non–conflicting, presuppositions. The post hoc intervention can thus complement an individual intervention (and vice versa) in situations where both are applicable (by adding further increases in veracity), but also by applying to situations where that intervention is not applicable (and thereby increase veracity in situations beyond the reach of that intervention). (shrink)

In recruitment, promotion, admission, and other forms of wealth and power apportion, an evaluator typically ranks a set of candidates in terms of their competence. If the evaluator is prejudiced, the resulting ranking will misrepresent the candidates’ actual rankings. This constitutes not only a moral and a practical problem, but also an epistemological one, which begs the question of what we should do—epistemologically—to mitigate it. In a recent paper, Jönsson and Sjödahl in [Episteme 14:499–517, 2017], argue that the epistemic problem (...) can be fruitfully addressed by way of a novel statistical method that changes the products of biased behaviour, i.e. the rankings themselves, rather than the biased persons. Jönsson and Sjödahl’s pioneering proposal is a both a welcome addition to the literature on implicit bias, due the problems with existing implicit bias interventions [see e.g. Lai et al. in J Exp Psychol Gen 143:1765–1785; J Exp Psychol Gen 145:1001–1016, 2014; 2016; Forscher et al. in J Person Soc Psychol 117:522–559, 2019] but also to the literature on prejudice more generally, where many proposed prejudice-reduction strategies enjoy less than adequate empirical support [Paluck and Green in Ann Rev Psychol 60:339–367, 2009]. Their proposal, however, needs supplementation in two ways: the circumstances that must hold in order for it to work needs to be refined, and their claim that it works as intended in these circumstances needs to be validated. We argue that four of Jönsson and Sjödahl’s method’s presumed presuppositions can be weakened, but needs to be supplemented by two additional assumptions, overlooked by Jönsson and Sjödahl. Moreover, we demonstrate that the method does work as intended by way of a statistical simulation. (shrink)