THE USE OF ARTIFICIAL INTELLIGENCE AND LEGAL TECHNOLOGY IN THE GERMAN JUSTICE SYSTEM. IS JUDGE AN AUTOMATIC SYSTEM?

2021 ◽  
Author(s):  
Birgit Demeter
Keyword(s):  
Artificial Intelligence ◽  
Justice System ◽  
Automatic System ◽  
Legal Technology

Computer analysis of non verbal behavioral parameters in unipolar major depression

2011 ◽  
Vol 26 (S2) ◽  
pp. 1712-1712
Author(s):  
V.V. Enatescu ◽  
V.R. Enatescu ◽  
I. Enatescu
Keyword(s):  
Artificial Intelligence ◽  
Automatic System ◽  
Dimensional Space ◽  
Signs And Symptoms ◽  
Unipolar Depression ◽  
Diagnostic Value ◽  
Structured Interviews ◽  
Behavioral Parameters ◽  
Unipolar Major Depression ◽  
Depressive States

Background and aimsBeside the interpretation and processing of content of communication, an important part of psychiatric diagnosis is made on behavioral signs and symptoms. While the semantic assessment of the content of thinking through communication was enriched by the development of several psychopathological scales, schedule and structured or semi-structured interviews the assessment of non verbal parameters remains uncovered. Our aims was to analyses the non verbal parameters, by an automatic system conceived by Dr. Enatescu et colab., in patients with mood disorders.MethodsThe instrument we used are: original traductors, systems of calculation and programming belonging to the artificial intelligence which create new pattern of representation of the gait, gesture, sonorous background of the speech, the dynamic of the writing which can be represented or through a matrix or in a n-dimensional space on specific clusters or to some human typology or to some psychical disorders.ResultsThe non verbal parameters processed by computer were sensible altered along with switching in the depressive states of subjects. The informatics data has had both diagnostic value and screening value for the course of unipolar depression.ConclusionsWe demonstrate that there is the chances for a new semiology which have objective paraclinic value for psychiatry field of automate analyses, nonverbal behavior parameters having the name “Extraverbale Analysis”.

scholarly journals Based on Artificial Intelligence in the Judicial Field Operation Status and Countermeasure Analysis

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Kongze Zhu ◽  
Lei Zheng
Keyword(s):  
Artificial Intelligence ◽  
Justice System ◽  
Social Resources ◽  
Advanced Technology ◽  
Massive Data ◽  
Personal Privacy ◽  
Judicial Efficiency ◽  
Civil Cases ◽  
Human Thinking ◽  
Operation Status

Artificial intelligence is a recently emerging system that uses computers and big data as the basis to simulate human-like behavior with machines. Artificial intelligence is a way to imitate human thinking by learning massive data knowledge and using algorithms to reason and analyze the data. In the current age of advanced technology, many jobs in the justice system can be replaced by artificial technology technologies. Many courts have now scrutinized the use of artificial intelligence in the judiciary. With artificial intelligence, timely warnings on all aspects of admissions can effectively protect random or outdated trials and allocate social resources appropriately. In addition, it may better redress cases of misconduct and irregular conduct in the judiciary, which is conducive to justice. Based on BP neural network, research on related content and other methods has drawn relevant arguments, which will provide a certain theoretical basis for artificial intelligence to assist the judicial field in the future. The research in this article shows that artificial intelligence is conducive to suppressing duty crimes in the judicial field, promoting the transformation of extensive processing to intensive processing, and is conducive to judicial efficiency. In 2017, there were more than 8 million first-instance civil cases, but only 100,000 cases were closed. But by 2020, with the construction of smart courts, millions of cases out of more than 10 million first-instance civil cases are expected to be closed. The situation has been greatly improved. But at the same time, we also need to prevent the leakage of artificial intelligence to personal privacy, establish and improve corresponding laws and regulations, and coordinate the judgment relationship between the human brain and the machine brain. Artificial intelligence may be more suitable for assisting judicial judgments.

ARTIFICIAL INTELLIGENCE AND THE DEVELOPMENT OF EFFICIENT LEGAL TECHNOLOGY

2021 ◽  
pp. 41-48
Author(s):  
T.V. Zakharov ◽  
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Law Enforcement ◽  
Learning Systems ◽  
Legal Practice ◽  
Regulatory Law ◽  
Data Objects ◽  
Legal Technology

The review analyzes some publications of foreign researchers concerning the effectiveness of new legal technologies in legal practice and the work of lawyers, the construction of AI systems administration, the ability of machine learning systems to operate with texts of regulatory, law enforcement and other legal acts as data objects, the development of AI training mechanisms and conditions for transparency of its conclusions and decisions.

scholarly journals Seeking Compatibility in Preventing Crime with Artificial Intelligence and Ensuring a Fair Trial

2021 ◽  
Vol 15 (1) ◽  
pp. 25-52
Author(s):  
Kelly Blount
Keyword(s):  
Artificial Intelligence ◽  
Human Rights ◽  
Criminal Law ◽  
Justice System ◽  
New Technologies ◽  
Fair Trial ◽  
European Convention ◽  
Presumption Of Innocence ◽  
Direct Effects ◽  
The Right

The justice system is increasingly reliant on new technologies such as artificial intelligence (AI). In the field of criminal law this also extends to the methods utilized by police for preventing crime. Though policing is not explicitly covered by Article 6 of the European Convention of Human Rights, this article will demonstrate that there can be adverse effects of policing on fair trial rights and make the analogy to criminal investigations as a recognized pre-trial process. Specifically, it will argue that policing that relies on AI to predict crime has direct effects on fair trial processes such as the equality of arms, the presumption of innocence, and the right to confront the evidence produced against a defendant. It will conclude by challenging the notion that AI is always an appropriate tool for legal processes.

Significance Messages: An Integrated Display Concept

1988 ◽  
Vol 32 (19) ◽  
pp. 1350-1354 ◽  
Author(s):  
David D. Woods ◽  
Glenn Elias
Keyword(s):  
Artificial Intelligence ◽  
Automatic System ◽  
Contextual Factors ◽  
Specific Knowledge ◽  
Raw Data ◽  
Domain Specific ◽  
Continuous Parameter ◽  
Specific Parameter ◽  
Current Context ◽  
Integrated Display

This paper describes one integral display concept — Significance Messages — which communicates the significance of a numerical value of some continuous parameter. The Significance Messages System combines a variety of kinds of raw data using software techniques from artificial intelligence in order to build a qualitative scale that communicates what a numeric value of some parameter means about the state of the application world given the current context. The Significance Messages concept is built as a generic “shell” that knows about different kinds of qualitative states, contextual factors, and heuristics to focus on relevant data. The designer enters domain specific, parameter specific knowledge about alarm setpoints, automatic system setpoints, etc. and about the specific contextual factors that are relevant to the interpretation of that parameter in order to create a particular Significance Message Display for a particular application.

Translatability of Law and Legal Technology

2020 ◽  
pp. 520-540
Author(s):  
Wolfgang Alschner ◽  
John Mark Keyes
Keyword(s):  
Artificial Intelligence ◽  
Federal Legislation ◽  
Federal Regulations ◽  
Artificial Intelligence Techniques ◽  
Tax Legislation ◽  
Legal Texts ◽  
Technology Applications ◽  
Legal Technology

Lawyers and citizens increasingly engage with law through technology intermediaries. For example, to declare their taxes, they consult tax software rather than tax legislation. This greater role of legal technology raises new issues for bilingual jurisdictions. In Canada, for instance, federal legislation is not translated but simultaneously codrafted by francophone and anglophone lawyers, resulting in small differences in the expression of the law and occasional inconsistencies. This contribution showcases how these differences can affect legal technology applications. Depending on the language they work with, lawyers may encode different interpretations in software, and algorithms may yield different results. Using a bilingual corpus of 3,000 Canadian federal regulations as a case study, the authors demonstrate that the same artificial intelligence techniques applied to the same legal texts in different languages yield different results. As a consequence, they argue that legal technology cannot simply be developed for one language and then translated to another language. Instead, it has to be “codeveloped” for different languages, similar to how legislation can be “codrafted.”

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