Paths to Digital Justice
Judicial Robots, Algorithmic Decision-Making, and Due Process
Bibliographic Data
| ID | 5125354 |
|---|---|
| Authors | Pedro Rubim Borges Fortes (0000-0003-0548-4537) |
| Year | 2020 |
| Volume | 7 |
| Issue | 3 |
| Pages | 453-469 |
| Publication date | 2020-10-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Asian Journal of Law and Society (JOURNAL) |
| Journal identifiers | ISSN: 2052-9015 • E-ISSN: 2052-9023 |
| Publisher | Cambridge University Press (CUP) (PUBLISHER) |
| DOI | 10.1017/als.2020.12 |
| OpenAlex | W3153103101 |
| Language | EN |
| Citations received | 4 |
| References cited | 19 |
The paths to digital justice focus on the challenges of contemporary digital societies in reaching automated decision-making processes through software, algorithms, and information technology without loss of its human quality and the guarantees of due process. In this context, this article reflects on the possibilities of establishing judicial robots in substitution for human judges, by examining whether artificial intelligence and algorithms may support judicial decision-making independently and without human supervision. The point of departure for this analysis comes from the experience of criminal justice systems with software for judgment of the possibility of recidivism of criminal defendants. Algorithmic decision-making may improve the public good in support of judicial decision-making, but the analysis of current technology and our standards for due process of law recommends caution on the conclusion that robots may replace human judges and satisfy our expectations for explainability and fairness in adjudication
Adjudication · Context (archaeology · Criminal justice · Criminology · Economic Justice · Judicial opinion · Political science · Process (computing · Recidivism · Robot · Sociology · Artificial Intelligence in Law · Computer Science · Ethics and Social Impacts of AI · Law, AI, and Intellectual Property · Artificial Intelligence · Law · Software
| Unique citing works | 4 |
|---|---|
| Citations per year | 1 |
| Citation span | 2022 - 2024 (3) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 4 |