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...
The paper explores some normative challenges concerning the integration of Machine Learning (ML) alg...
Predictive algorithms are increasingly being deployed in a variety of settings to determine legal st...
Algorithms based on Artificial Intelligence technologies are slowly transforming street-level bureau...
A common criticism of the use of algorithms in criminal justice is that algorithms and their determi...
This paper explores current and future possible uses of algorithms in sentencing and assesses the li...
In this paper we introduce the problem of algorithmic opacity and the challenges it presents to ethi...
The use of AI algorithms in criminal trials has been the subject of very lively ethical and legal de...
It is becoming more common that the decision-makers in private and public institutions are predictiv...
Algorithms saturate our lives today; from curated song lists to recommending “friends” and news feed...
There are concerns that UK policing could soon be awash with 'algorithmic impropriety'. Big(ger) dat...
The use of algorithms to predict behaviour is becoming the gold standard in criminal justice in vari...
OBJECTIVES: Test whether (1) people view a policing decision made by an algorithm as more or less ...
Predictive algorithms are increasingly being deployed in a variety of settings to determine legal st...
Algorithmic decision-making in government has emerged rapidly in recent years, leading to a surge in...
As predictive risk algorithms become more commonplace so have concerns about their use. The perceive...
The paper explores some normative challenges concerning the integration of Machine Learning (ML) alg...
Predictive algorithms are increasingly being deployed in a variety of settings to determine legal st...
Algorithms based on Artificial Intelligence technologies are slowly transforming street-level bureau...
A common criticism of the use of algorithms in criminal justice is that algorithms and their determi...
This paper explores current and future possible uses of algorithms in sentencing and assesses the li...
In this paper we introduce the problem of algorithmic opacity and the challenges it presents to ethi...
The use of AI algorithms in criminal trials has been the subject of very lively ethical and legal de...
It is becoming more common that the decision-makers in private and public institutions are predictiv...
Algorithms saturate our lives today; from curated song lists to recommending “friends” and news feed...
There are concerns that UK policing could soon be awash with 'algorithmic impropriety'. Big(ger) dat...
The use of algorithms to predict behaviour is becoming the gold standard in criminal justice in vari...
OBJECTIVES: Test whether (1) people view a policing decision made by an algorithm as more or less ...
Predictive algorithms are increasingly being deployed in a variety of settings to determine legal st...
Algorithmic decision-making in government has emerged rapidly in recent years, leading to a surge in...
As predictive risk algorithms become more commonplace so have concerns about their use. The perceive...
The paper explores some normative challenges concerning the integration of Machine Learning (ML) alg...
Predictive algorithms are increasingly being deployed in a variety of settings to determine legal st...
Algorithms based on Artificial Intelligence technologies are slowly transforming street-level bureau...