Automated decision making for sentencing is the use of a software algorithm to analyse a convicted offender’s case and deliver a sentence. This chapter reviews the moral arguments for and against employing automated decision making for sentencing and finds that its use is in principle morally permissible. Specifically, it argues that well-designed automated decision making for sentencing will better approximate the just sentence than human sentencers. Moreover, it dismisses common concerns about transparency, privacy and bias as unpersuasive or inapplicable. The (...) chapter also notes that moral disagreement about theories of just sentencing are plausibly resolved by applying the principle of maximising expected moral choiceworthiness, and that automated decision making is better suited to the resulting ensemble model. Finally, the chapter considers the challenge posed by penal populism. The dispiriting conclusion is that although it is in theory morally desirable to use automated decision-making for criminal sentencing, it may well be the case that we ought not to try. (shrink)

During the last half of the twentieth century, legal philosophy (or legal theory or jurisprudence) has grown significantly. It is no longer the domain of a few isolated scholars in law and philosophy. Hundreds of scholars from diverse fields attend international meetings on the subject. In some universities, large lecture courses of five hundred students or more study it. The primary aim of the Law and Philosophy Library is to present some of the best original work on legal philosophy from (...) both the Anglo-American and European traditions. Not only does it help make some of the best work avail able to an international audience, but it also encourages increased awareness of, and interaction between, the two major traditions. The primary focus is on full-length scholarly monographs, although some edited volumes of original papers are also included. The Library editors are assisted by an Editorial Advisory Board of internationally renowed scholars. Legal philosophy should not be considered a narrowly circumscribed field. (shrink)

The use of artificial intelligence as an instrument to assist judges in determining sentences in criminal cases is an issue that gives rise to many theoretical challenges. The purpose of this article is to examine one of these challenges known as the “input problem.” This problem arises supposedly due to two reasons: that in order for an algorithm to be able to provide a sentence recommendation, it needs to be inputted with case specific information; and that the task of presenting (...) an adequate picture of a crime often turns out to be highly complex. Even though this problem has been noted since the earliest attempts at developing sentencing support systems, almost no one has considered the ethical nature of this challenge. The aim of this article is to fill that void. First, it is shown that the input problem has been subject to somewhat different interpretations. Second, several possible answers as to when and why the problem constitutes an ethical challenge are considered. Third, a few suggestions are presented as to how undesirable implications of complexity at the input stage might be ameliorated by tailoring the way sentencing algorithms are developed and used in the work of criminal courts. (shrink)

Artificial intelligence is increasingly permeating many types of high-stake societal decision-making such as the work at the criminal courts. Various types of algorithmic tools have already been introduced into sentencing. This article concerns the use of algorithms designed to deliver sentence recommendations. More precisely, it is considered how one should determine whether one type of sentencing algorithm (e.g., a model based on machine learning) would be ethically preferable to another type of sentencing algorithm (e.g., a model based on old-fashioned programming). (...) Whether the implementation of sentencing algorithms is ethically desirable obviously depends upon various questions. For instance, some of the traditional issues that have received considerable attention are algorithmic biases and lack of transparency. However, the purpose of this article is to direct attention to a further challenge that has not yet been considered in the discussion of sentencing algorithms. That is, even if is assumed that the traditional challenges concerning biases, transparency, and cost-efficiency have all been solved or proven insubstantial, there will be a further serious challenge associated with the comparison of sentencing algorithms; namely, that we do not yet possess an ethically plausible and applicable criterion for assessing how well sentencing algorithms are performing. (shrink)

The idea of using artificial intelligence as a support system in the sentencing process has attracted increasing attention. For instance, it has been suggested that machine learning algorithms may help in curbing problems concerning inter-judge sentencing disparity. The purpose of the present article is to examine the merits of this possibility. It is argued that, insofar as the unfairness of sentencing disparity is held to reflect a retributivist view of proportionality, it is not necessarily the case that increasing inter-judge uniformity (...) in sentencing is desirable. More generally, it is shown that the idea of introducing machine learning algorithms, that produce sentencing predictions on the ground of a dataset that is built of previous sentencing decisions, faces serious problems if there exists a discrepancy between actual sentencing practice and the sentences that are ideally desirable. (shrink)

This article argues—against the present compatibilist orthodoxy in the philosophy of criminal law—for the contemporary relevance of a kind of critique of criminal law known as the ‘determinist challenge’, through a reconstruction of Theodor Adorno’s thought on freedom and determinism. The article begins by considering traditional forms of the determinist challenge, which expressed a widespread intuition that it is irrational or inappropriate for the criminal law to hold people responsible for actions that are causally determined by social and psychological forces (...) in such a way that they cannot be said to have acted freely. Yet as traditionally presented it was possible for its opponents to interpret this challenge as an incompatibilist position within the traditional free will/determinism debate, and to present compatibilist arguments against it—in particular, that the determinist challenge is unmotivated and has implausible implications. It is argued that these compatibilist objections hold only on a certain interpretation of the determinist challenge, but that this interpretation is not the only one available. Adorno’s distinctive position on freedom and determinism is presented as an alternative version of the challenge, which cannot be assimilated to the terms of the traditional compatibilist/incompatibilist disputes. This novel, ‘metacritical’ version of the determinist challenge is essentially a social–historical, not metaphysical, thesis about the moral significance of the freedom-undermining effects of modern social forms. As such, it is argued, it is invulnerable to the usual compatibilist objections, and presents a serious challenge to our criminal legal institutions. (shrink)

According to the main argument in favour of the practice of racial profiling as a low enforcement tactic, the use of race as a targeting factor helps the police to apprehend more criminals. In the following, this argument is challenged. It is argued that, given the assumption that criminals are currently being punished too severely in Western countries, the apprehension of more criminals may not constitute a reason in favour of racial profiling at all.

Too little attention has been paid by philosophers to the cognitive and epistemic dimensions of emotional disturbances such as depression, grief, and anxiety and to the possibility of justification or warrant for such conditions. The chief aim of the present paper is to help to remedy that deficiency with respect to depression. Taxonomy of depression reveals two distinct forms: depression (1) with intentionality and (2) without intentionality. Depression with intentionality can be justified or unjustified, warranted or unwarranted. I argue that (...) the effort of Aaron Beck to show that depressive reasoning is necessarily illogical and distorted is flawed. I identify an essential characteristic of that depression which is a mental illness. Finally, I describe the potential of depression to provide credal contact with important truths. (shrink)

In this paper I argue that reflection on competence and enfranchisement in relation to profound disability forces re-examination of the grounds of citizenship, with implications for theories of distributive justice in education. The primary purpose is less to point up that some people are disenfranchised without injustice; it is more to advance the view that, since enfranchisement is not an option for some profoundly disabled people, we require a conception of citizenship that is more sensitive to their distinctive needs and (...) interests. (shrink)

Retribution is often dismissed as augmenting the initial harm done, rather than ameliorating it. This criticism rests on a crude view of retribution. In our actual practice in informal situations and in the workings of the reactive (properly called 'retributive') sentiments, retribution is true to the gravity of wrongdoing, but does aim to ameliorate it. Through wrongdoing, offenders become alienated from the moral community: their actions place their commitment to its core values in doubt. We recognize this status in blaming, (...) a withdrawal of civility and solidarity which symbolizes the moral distance wrongdoers have put between them and us. Atonement is the means by which they make themselves 'at one' again with the community. Retribution is properly understood as a cycle which recognizes disruption and alienation, but aims at reconciliation. (shrink)

When does neuroimaging constitute a sufficiently developed technology to be put into use in the work of determining whether or not a defendant is guilty of crime? This question constitutes the starting point of the present paper. First, it is suggested that an overall answer is provided by what is referred to as the “ideal comparative view.” Secondly, it is—on the ground of this view—argued that the answer as to whether neuroimaging technology should be applied presupposes penal theoretical considerations. Thirdly, (...) it is argued that the retributivist theory of punishment is not well-suited for delivering the sort of theoretical guidance that is required for assessing the desirability of using neuroimaging in the work of the criminal court. (shrink)

The aim of this article is to examine whether informational manipulation, used intentionally by the researcher to increase recruitment in the research study, can be morally acceptable. We argue that this question is better answered by following a non-normative account, according to which the ethical justifiability of informational manipulation should not be relevant to its definition. The most appropriate criterion by which informational manipulation should be considered as morally acceptable or not is the researcher’s special moral duties towards their subjects. (...) We also propose that a broader definition of manipulation of information should be adopted (than that already existing in the literature) since informational manipulation can affect not only a person’s beliefs but also their desires in decision-making. We conclude that manipulation of information can either be used to protect the potential subject and facilitate the informed consent process or be used to exploit and merely use a person for scientific goals. (shrink)

Jeffrie G Murphy & Jean Hampton, Forgiveness and Mercy Cambridge and New York: Cambridge University Press, 1988, 194 pp. Kathleen Dean Moore, Pardons: Justice, Mercy, and the Public Interest New York and Oxford: Oxford University Press, 1989, 271 pp.

The use of risk assessment tools has come to play an increasingly important role in sentencing decisions in many jurisdictions. A key issue in the theoretical discussion of risk assessment concerns the predictive accuracy of such tools. For instance, it has been underlined that most risk assessment instruments have poor to moderate accuracy in most applications. However, the relation between, on the one hand, judgements of the predictive accuracy of a risk assessment tool and, on the other, conclusions concerning the (...) justified use of such an instrument in sentencing practice, is often very unclear. The purpose of this paper is to examine this relation. More precisely, it is argued that the relation between predictive accuracy and the question as to whether a new risk assessment tool should be introduced in sentencing practice is highly complicated. For instance, there may be cases in which a new risk assessment tool is more accurate than those currently in use, but should nevertheless not be introduced; and conversely, where a new tool is less accurate, but where its introduction instead of current tools would be morally preferable. (shrink)