Artificial intelligence and speedy trial in the judiciary: Myth, reality or need? A case study in the Brazilian Supreme Court (STF)

Sousa, Weslei Gomes de; Fidelis, Rafael Antunes; Bermejo, Paulo Henrique de Souza; Gonçalo, Ana Gersica da Silva; Melo, Bruno de Souza

doi:10.1016/j.giq.2021.101660

Cited by 15 publications

(5 citation statements)

References 44 publications

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“…They proposed a framework model that combines resources and impacts of AI on the velocity of legal decisions. The result demonstrated how and what solutions contribute to judgment, pre-trial, and legal support [8].…”

Section: Descriptive Statistical Analysismentioning

confidence: 95%

“…The system contributes greatly to the information flow between courts [7]. Thanks to the application of emerging techniques (e.g., big data, cloud computing, and Internet AI), much progress has been made in civil litigation procedures, especially in terms of intelligent judgment, online service, smart court, and Internet court development [8].…”

Section: Introductionmentioning

confidence: 99%

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Analysis of Key Factors Influencing Smart Court Development Based on Decision Making Trial and Evaluation Laboratory

Jiang¹

2022

CIT. J. comput. inf. technol

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This paper analyzes the state of the art in the development of smart courts in China since 2016 and explores the factors affecting the development of smart courts in China based on DEcision MAking Trial and Evaluation Laboratory (DEMATEL) and Interpretive Structural Modeling (ISM) models. The direct influence relationships between the factors were determined by data extracted from a questionnaire survey. Based on the resulting composite influence matrix, it was deduced that the factors that influence smart court development involve three groups: intrinsic factors, including pre-planning, promotion, network service, and the five main functional systems; transitional factors, including data collection, operation and maintenance, update; and proximate factors, including investment intention, equipment, and monitoring system. Drawing on the conclusion, this paper argues that the development of data collection, equipment, and monitoring system should be the priority in the smart court development, and a benign circulation will be achieved when the five main systems of smart courts are well-established as they can attract talents, investment, and other important factors.

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Section: Descriptive Statistical Analysismentioning

confidence: 95%

Section: Introductionmentioning

confidence: 99%

Analysis of Key Factors Influencing Smart Court Development Based on Decision Making Trial and Evaluation Laboratory

Jiang¹

2022

CIT. J. comput. inf. technol

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“…(1) Improved services. The application of digital technology in government has improved some services, such as user-centric service improvement [21], an open platform for government service delivery [40], and speedy trials in the judiciary [41]. (2) Better relationships.…”

Section: Literature Reviewmentioning

confidence: 99%

How Organizational Agility Promotes Digital Transformation: An Empirical Study

2023

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With the development of digital technologies and their increasing application in government, digital transformation is a wave rolling up the world. Previous studies had investigated some factors that affect digital transformation. But there is little research on the impact of organizational agility on digital transformation in government. To fill this gap, based on the dynamic capabilities view, this study aims to investigate how organizational agility affects digital transformation and dynamic capabilities as antecedents and factors impacting organizational agility. A survey study was conducted to empirically test the model. The data were collected from 313 government employees in government departments. The findings suggest that (1) organizational agility significantly influences digital transformation and (2) dynamic capabilities are important predictors of organizational agility.

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“…As a result, it is thought that the supposed increase in bureaucratic promptness brought on by AI is real. It is possible, but there are some restrictions because of the path length to go between using this technology for simple functioning farm duties and multifarious tasks like comprehensive process evaluation (De Sousa, et al, 2022). In the legal industry, some artificial intelligence has demonstrated prediction accuracy that is superior to that of human judges.…”

Section: Artificial Intelligence's Effects On the Legal Systemmentioning

confidence: 99%

India's Courts and Artificial Intelligence: A Future Outlook

Sharma

2023

lexonomica

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In recent years, the legal system has used artificial intelligence technology extensively. Artificial intelligence for judicial purposes is more efficient, knowledgeable, and impartial than human judges. It has its limitations, largely based on big data, algorithms, and computing power rather than organic intelligence. Judiciary artificial intelligence cannot completely replace human judges because of differences in conceptual framework, application scenario, and ability and potential. Unambiguously stating that judicial artificial intelligence is never a replacement for human judges is crucial. The study aims to investigate the legal issues and the various ways that AI impacts the legal system. The research methodology is qualitative, inductive and descriptive.

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Artificial intelligence and speedy trial in the judiciary: Myth, reality or need? A case study in the Brazilian Supreme Court (STF)

Cited by 15 publications

References 44 publications

Analysis of Key Factors Influencing Smart Court Development Based on Decision Making Trial and Evaluation Laboratory

Analysis of Key Factors Influencing Smart Court Development Based on Decision Making Trial and Evaluation Laboratory

How Organizational Agility Promotes Digital Transformation: An Empirical Study

India's Courts and Artificial Intelligence: A Future Outlook

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