Algocracy in the Judiciary
Challenging Trust in the System
Dados Bibliográficos
| ID | 11154887 |
|---|---|
| Autores | María Lorena Flórez Rojas (0000-0002-8264-8227, University of Groningen, autor correspondente) |
| Ano | 2025 |
| Fascículo | 93 |
| Páginas | 107-128 |
| Data de publicação | 2025-07-25 |
| Peer Reviewed | Sim |
| Open Access | Sim |
| Tipo | ARTICLE |
| Periódico | Revista de Estudios Sociales (JOURNAL) |
| Identificadores do periódico | ISSN: 0123-885X • E-ISSN: 1900-5180 |
| Editora | Universidad de los Andes (PUBLISHER • VE) |
| DOI | 10.7440/res93.2025.06 |
| OpenAlex | W4412659149 |
| Idioma | EN |
| Referências citadas | 18 |
This article examines how algocracy—the delegation of judicial decision-making to algorithmic systems—affects public trust in courts operating within increasingly AI-mediated, multi-level governance structures. It argues that legal legitimacy relies on normative correctness and the social acceptance that emerges from trust. Using a qualitative methodology that integrates doctrinal analysis, comparative regulatory review, and case studies from Mexico, Australia, Germany, the Netherlands and Denmark, this study develops an interpretive framework comprising five principles— transparency, responsibility, understanding, social justice and trustworthy oversight. It applies this framework to a typology of eight algorithmic decision-making tools to assess their impact on individual, institutional and societal trust. The findings indicate that confidence erodes when systems function opaquely, involve uncontrolled delegation or inherit data biases—conditions that can provoke legitimacy crises and civic resistance. The proposed framework therefore provides practical guidance for designing, auditing, and implementing algorithmic tools that preserve human deliberation and equal access to justice. By bridging philosophical debates on algocracy with legal analysis focused on trust, the study offers an original, interdisciplinary tool to help courts govern technological innovation without compromising democratic legitimacy today
Animal science · Biology · Political science · Asian Studies and History · Chemistry · Philosophy · Religion, Society, and Development · Religious Freedom and Discrimination
Connecting the dots in trustworthy Artificial Intelligence
Trustworthiness
Trust and Antitrust
An Integrative Model of Organizational Trust
AI Trust
Post-truth and post-trust
Automating anticorruption
Policy advice and best practices on bias and fairness in AI
Towards Transparency by Design for Artificial Intelligence
Proceed with Caution
Artificial agents
Unveiling AI in the courtroom
Artificial intelligence and democratic legitimacy. The problem of publicity in public authority
The Threat of Algocracy
Justitia ex machina
Regulating algorithmic discrimination through adjudication
Fairness, relationships and perceptions of police legitimacy in the context of integrated offender management
Global Labor
| Velocidade de citação | historical |
|---|---|
| Altamente citado | Não |