Artificial Intelligence as a Tool to Improve the Administration of Justice?

2020 ◽  
Vol 8 (2) ◽  
pp. 179-189
Author(s):  
Maria Dymitruk
Keyword(s):  
Artificial Intelligence ◽  
Large Scale ◽  
Technological Development ◽  
Legal Compliance ◽  
Judicial Decision Making ◽  
Scientific Discussion ◽  
Intelligence System ◽  
Administration Of Justice ◽  
Legal Informatics ◽  
Judicial Proceedings

Recently, technological development made a significant impact on the administration of justice. Lawyers, both legal practitioners and academics, can no longer afford to ignore the potential that the technology offers. The development of new fields in legal informatics, such as the applicability of Artificial Intelligence (AI) in law, opened up new opportunities which have hitherto been unthinkable. In the not too distant future, lawyers will need to answer the question whether AI can be engaged in the process of judicial decision making. On the other hand, the creation of a well-functioning artificial intelligence system which can carry out numerous adjudicating activities and reasoning processes is not the only requirement for using artificial intelligence in the automation process of judicial activities. Detailed analysis of its legal compliance is needed as well. This paper analyses the admissibility of using artificial intelligence tools in the judiciary and contains considerations on ethical aspects of AI application in judicial proceedings (whether an AI system is capable of taking over the role of a decision maker in judicial proceedings, thereby replacing, or supporting the judge). The research presented in the paper may provide an impulse to start a large-scale scientific discussion on the possibility and admissibility of AI application in the judicial system and may also be the basis for formulating proposals addressed to lawmakers and policymakers.

scholarly journals Artificial Intelligence and the Transformation of Humans, Law and Technology Interactions in Judicial Proceedings

2020 ◽  
Vol 2 (1) ◽  
pp. 4-18 ◽  
Author(s):  
Francesco Contini
Keyword(s):  
Artificial Intelligence ◽  
Large Scale ◽  
Technology Development ◽  
Actor Network Theory ◽  
Digital Environment ◽  
Law And Technology ◽  
Administration Of Justice ◽  
Case Comparison ◽  
Judicial Proceedings ◽  
Online Forms

The paper connects the potentially disruptive effects of Artificial Intelligence (AI) deployment in the administration of justice to the pre-existing trajectories and consequences of court technology development. The theoretical framework combines Luhmann’s theory of technology with actor–network theory to analyse how the new digital environment affects judicial agency. Then, it explores law and technology dynamics to map out the conditions that make legal the use of technologies in judicial proceedings. The framework is applied to analyse ‘traditional’ digital technologies (simple online forms and large-scale e-justice platforms) and AI-based systems (speech-to-text and recidivism assessment). The case comparison shows similarities and dynamics triggered by AI and traditional technologies, as well as a radical difference. While system developers and owners remain accountable before the law for the functioning of traditional systems, with AI, such accountability is transferred to users. Judges—users in general—remain accountable for the consequences of their actions supported or suggested by systems that are opaque and autonomous. This contingency, if not adequately faced with new forms of accountability, restricts the areas in which AI can be used without hampering judicial integrity.

Prospects for Cooperation Between Russia and the Republic of Korea in the Fields of Big Data, Network and Artificial Intelligence for the Development of the Digital Economy

2021 ◽  
Vol 65 (8) ◽  
pp. 51-60
Author(s):  
Yujeong Kim
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Large Scale ◽  
Technology Development ◽  
Technological Development ◽  
Digital Economy ◽  
Republic Of Korea ◽  
Data Network ◽  
Leading Position ◽  
The Government

Today, each country has interest in digital economy and has established and implemented policies aimed at digital technology development and digital transformation for the transition to the digital economy. In particular, interest in digital technologies such as big data, 5G, and artificial intelligence, which are recognized as important factors in the digital economy, has been increasing recently, and it is a time when the role of the government for technological development and international cooperation becomes important. In addition to the overall digital economic policy, the Russian and Korean governments are also trying to improve their international competitiveness and take a leading position in the new economic order by establishing related technical and industrial policies. Moreover, Republic of Korea often refers to data, network and artificial intelligence as D∙N∙A, and has established policies in each of these areas in 2019. Russia is also establishing and implementing policies in the same field in 2019. Therefore, it is timely to find ways to expand cooperation between Russia and Republic of Korea. In particular, the years of 2020and 2021marks the 30th anniversary of diplomatic relations between the two countries, and not only large-scale events and exchange programs have prepared, but the relationship is deepening as part of the continued foreign policy of both countries – Russia’s Eastern Policy and New Northern Policy of Republic of Korea. Therefore, this paper compares and analyzes the policies of the two countries in big data, 5G, and artificial intelligence to seek long-term sustainable cooperation in the digital economy.

Cloud-Based Artificial Intelligence System for Large-Scale Arrhythmia Screening

Computer ◽  
2019 ◽  
Vol 52 (11) ◽  
pp. 40-51 ◽  
Author(s):  
Chi-Ho Tseng ◽  
Men-Tzung Lo ◽  
Chen Lin ◽  
Hsiang-Chih Chang ◽  
Cyuan-Cin Liu ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Large Scale ◽  
Artificial Intelligence System ◽  
Intelligence System

scholarly journals Deploying an Artificial Intelligence-Based Defect Finder for Manufacturing Quality Management

AI Magazine ◽  
2021 ◽  
Vol 42 (2) ◽  
pp. 5-18
Author(s):  
Kyoung Jun Lee ◽  
Jun Woo Kwon ◽  
Soohong Min ◽  
Jungho Yoon
Keyword(s):  
Artificial Intelligence ◽  
Quality Management ◽  
Response Time ◽  
Large Scale ◽  
Classification Model ◽  
Group Model ◽  
Accuracy Rate ◽  
Intelligence System ◽  
Time Requirements ◽  
Visual Geometry

This paper describes how the Big Data Research Center of Kyung Hee University and Benple Inc. developed and deployed an artificial intelligence system to automate the quality management process for Frontec, an SME company that manufactures automobile parts. Various constraints, such as response time requirements and the limited computing resources available, needed to be considered in this project. Defect finders using large-scale images are expected to classify weld nuts within 0.2 s with an accuracy rate of over 95%. Our system uses Circular Hough Transform for preprocessing as well as an adjusted VGG (Visual Geometry Group) model. Our convolutional neural network (CNN) system shows an accuracy of over 99% and a response time of about 0.14 s. To embed the CNN model into the factory, we reimplemented the preprocessing modules using LabVIEW and had the classification model server communicate with an existing vision inspector. We share our lessons from this experience by explain-ing the procedure and real-world issues developing and embedding a deep learn-ing framework in an existing manufacturing environment without implementing any hardware changes.

scholarly journals Detection of elusive polyps via a large-scale artificial intelligence system (with videos)

2021 ◽  
Author(s):  
Dan M. Livovsky ◽  
Danny Veikherman ◽  
Tomer Golany ◽  
Amit Aides ◽  
Valentin Dashinsky ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Large Scale ◽  
Artificial Intelligence System ◽  
Intelligence System

scholarly journals Identification of artificial intelligence systems in legal field: the fundamentals of cyber law

2020 ◽  
pp. 1-11
Author(s):  
Svetlana Sergeevna Gorokhova
Keyword(s):  
Artificial Intelligence ◽  
Social Relations ◽  
Technological Development ◽  
Research Problem ◽  
Legal Regulation ◽  
Legal Responsibility ◽  
Scientific Discussion ◽  
Strong Artificial Intelligence ◽  
Cyber Law ◽  
Artificial Intelligence Systems

The subject of this article is the social relations established in the process of scientific and technological development in IT sphere that support the work of artificial intelligence systems and relate to scientific discussion on the role of artificial intelligence, robots and objects of robotics in the legal field. The author examines the relevant questions of identification of artificial intelligence systems as a subject, object or other legal phenomenon within the structure of legal relations. The research problem consists in the fact outstripping that the scientific-technological progress outstripped legal regulation of interaction between an individual, society and artificial intelligence, which justifies the need for creation a cyber-law theory. The opinions on the matter in foreign and national literature are analyzed. The article outlines the trends and prospects of implementation of artificial intelligence in various social and economic spheres; determines the contrast of opinions regarding the problems of identification of artificial intelligence systems, as well as incorporation of artificial intelligence into the established legal reality. The author presents and substantiates an original conceptual version of inclusion of artificial intelligence into the legal field, based on the principle of assignment of partial legal capacity to strong and super strong artificial intelligence. The positions on legal responsibility in relations complicated by the presence of artificial intelligence are defined.

Principles, Procedure, and Justice

2020 ◽  
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Distributive Justice ◽  
Civil Procedure ◽  
Judicial Decision ◽  
Forensic Evidence ◽  
Judicial Decision Making ◽  
Administration Of Justice ◽  
University College ◽  
Evidence Law

The book contains a collection of essays in civil procedure and evidence honouring Professor Adrian Zuckerman of University College Oxford. The contributors are leading scholars and judges whose work has engaged with or been influenced in some way by the work of Professor Zuckerman. The contributions touch upon a wide variety of topics, ranging from the efficient administration of justice, questions of distributive justice and the allocation of costs, the use of online facilities and artificial intelligence in the delivery of justice, judicial decision making, abuse of process, to hearsay, the use of forensic evidence, and evidence law.

scholarly journals BattleNet: Capturing Advantageous Battlefield in RTS Games (Student Abstract)

2020 ◽  
Vol 34 (10) ◽  
pp. 13849-13850
Author(s):  
Donghyeon Lee ◽  
Man-Je Kim ◽  
Chang Wook Ahn
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Real Time ◽  
Large Scale ◽  
Outcome Predictor ◽  
Short Term ◽  
Rts Game

In a real-time strategy (RTS) game, StarCraft II, players need to know the consequences before making a decision in combat. We propose a combat outcome predictor which utilizes terrain information as well as squad information. For training the model, we generated a StarCraft II combat dataset by simulating diverse and large-scale combat situations. The overall accuracy of our model was 89.7%. Our predictor can be integrated into the artificial intelligence agent for RTS games as a short-term decision-making module.

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