Suchergebnisse

Abstract
A common criticism of the use of algorithms in criminal justice is that algorithms and their determinations are in some sense "opaque"—that is, difficult or impossible to understand, whether because of their complexity or because of intellectual property protections. Scholars have noted some key problems with opacity, including that opacity can mask unfair treatment and threaten public accountability. In this paper, we explore a different but related concern with algorithmic opacity, which centers on the role of public trust in grounding the legitimacy of criminal justice institutions. We argue that algorithmic opacity threatens the trustworthiness of criminal justice institutions, which in turn threatens their legitimacy. We first offer an account of institutional trustworthiness before showing how opacity threatens to undermine an institution's trustworthiness. We then explore how threats to trustworthiness affect institutional legitimacy. Finally, we offer some policy recommendations to mitigate the threat to trustworthiness posed by the opacity problem.

Robert Sparrow recently argued in this journal that several initially plausible arguments in favor of the deployment of autonomous weapon systems (AWS) in warfare are in fact flawed, and that the deployment of AWS faces a serious moral objection. Sparrow's argument against AWS relies on the claim that they are distinct from accepted weapons of war in that they either fail to transmit an attitude of respect for enemy combatants or, worse, they transmit an attitude of disrespect. In this reply we argue that this distinction between AWS and widely accepted weapons is illusory, and therefore cannot ground a moral difference between AWS and existing methods of waging war. We also suggest that if deploying conventional soldiers in a given situation would be permissible, but we could expect to cause fewer civilian casualties by instead deploying AWS, then it would be consistent with an intuitive understanding of respect to deploy AWS in this situation.