scholarly journals APPLICATION OF ARTIFICIAL INTELLIGENCE IN PUBLIC ADMINISTRATION, JUDICIARY AND LAW ENFORCEMENT: INTERDISCIPLINARY RESEARCH

2021 ◽  
pp. 148-154
Author(s):  
M. D. VASУLENKO ◽  
T. V. SHEVCHENKO
Keyword(s):  
Artificial Intelligence ◽  
Law Enforcement ◽  
Public Administration ◽  
Interdisciplinary Research

scholarly journals Features of statistical modeling and forecasting of crime: theoretical aspect

2021 ◽  
pp. 123-130
Author(s):  
Andrey Terekhov ◽  
Sergey Kuvychkov ◽  
Sergey Smirnov
Keyword(s):  
Artificial Intelligence ◽  
Law Enforcement ◽  
Public Administration ◽  
Social Economic ◽  
Theoretical Aspect ◽  
The State ◽  
Optimal Method ◽  
Modeling And Forecasting ◽  
Spatiotemporal Models

The purpose of the work is to provide a theoretical analysis of modern methods of modeling and forecasting the state of crime, which can be used in the system of public administration of the law enforcement sphere. In the course of the research, the peculiarities of using various tools and models for predicting the state of crime are revealed. A significant part of the research of scientists is directed towards the use of spatial and spatiotemporal models, as well as methods of artificial intelligence. The high quality of monthly forecasts is noted. Various economic, social, geographical, temporal and other groups of factors that influence the state of crime are identified. It is established that the quality of the developed crime forecasts depends on the choice of the optimal method and period of forecasting, on the completeness of the information base, including social, economic, legal and other characteristics of the phenomena and processes of public life that affect the criminal situation. It is noted that the practical use of artificial intelligence and econometric analysis methods in predicting the state of crime is becoming particularly relevant at the present time.

Introduction in emotional chat bots & base of Bioinformatics

2022 ◽  
Vol 12 (1) ◽  
pp. 0-0
Keyword(s):  
Artificial Intelligence ◽  
Public Administration ◽  
Conceptual Model ◽  
Interdisciplinary Research ◽  
Technological Development ◽  
Digital Transformation ◽  
Information Flows ◽  
It Systems ◽  
Scientific Task ◽  
Scientific And Technological Development

The article proposed interdisciplinary research should contribute to understanding the attitude of the population to the ongoing processes of digital transformation of the means of interaction with authorities, the level of their confidence in the widespread introduction of artificial intelligence technologies in the provision of public services. Understanding the psychology of the user, the specifics of information flows in public administration, the capabilities of modern IT systems - all this together will make it possible to significantly improve the corresponding communication processes.The scientific task posed within the framework of the topic is to develop a conceptual model for optimizing one of the main elements of modern e-government systems - "intelligent chat bots" designed to make the interaction of citizens with government bodies more efficient. The results of the article is contribute to the implementation of the goals, objectives and strategic guidelines of the programs of scientific and technological development of both the region and Russia as a whole.

scholarly journals Artificial Intelligence in Enforcement: Epistemological Analysis

2020 ◽  
Vol 13 (2) ◽  
pp. 75
Author(s):  
Alexey I. Ovchinnikov ◽  
Alexey Yu. Mamychev ◽  
Tatiana S. Yatsenko ◽  
Artur Kravchenko ◽  
Yuri A. Kolesnikov
Keyword(s):  
Artificial Intelligence ◽  
Law Enforcement ◽  
Public Administration ◽  
Hermeneutic Circle ◽  
Administrative Functions ◽  
Legal Problems ◽  
Key Factor ◽  
General Norm ◽  
Epistemological Analysis ◽  
Artificial Intelligence Systems

The presented study examines the epistemological and philosophical and legal problems of the introduction of artificial intelligence systems in law enforcement. The article discusses the problematic implementation and use of artificial intelligence to automate the enforcement process, the judiciary and public administration. It is shown that the latter is considered without taking into account a key factor - the specifics of the intellectual process of bringing the general norm to a particular case. The authors show that for artificial intelligence systems, the contextuality of the principles of law is not achievable, while it is extremely necessary in law enforcement. In AI, contextual intellectual procedures cannot be programmed, since the ratio between the norm and the context of its interpretation involves a break through the hermeneutic circle in which the norm is a part and the context of the norm (industry principles) is a whole. The limited possibilities of using artificial intelligence systems in justice are also discussed, it is proved that digitalization in this area will be only instrumental in nature, and the administrative functions of robotic technologies are quite problematic and generally ineffective in the spiritual, moral and ethical dimension.

Digitalization in the system of anti-corruption measures

2020 ◽  
Vol 22 (5) ◽  
pp. 51-55
Author(s):  
OLEG N. KORCHAGIN ◽  
◽  
ANASTASIA V. LYADSKAYA ◽  
Keyword(s):  
Big Data ◽  
Law Enforcement ◽  
Public Administration ◽  
Network Architecture ◽  
Digital Technologies ◽  
Current State ◽  
Foreign Countries ◽  
Separate Area ◽  
Private Business Sector ◽  
The Given

The article is devoted to the current state of digitalization aimed at solving urgent problems of combating corruption in the field of public administration and private business sector. The work considers the experience of foreign countries and the influence of digital technologies on the fight against corruption. It is noted that the digitalization of public administration is becoming one of the decisive factors for increasing the efficiency of the anti-corruption system and improving management mechanisms. Big Data, if integrated and structured according to the given parameters, allows the implementation of legislative, law enforcement, control and supervisory and law enforcement activities reliably and transparently. Big Data tools allow us to analyze processes, identify dependencies and predict corruption risks. The author describes the most significant problems that complicate the transfer of offline technologies into the online environment. The paper analyzes promising directions for the development of digital technologies that would lead to solving the arising problems, as well as to implement tasks that previously seemed unreachable. The article also describes current developments in the field of collecting and managing large amounts of data, the “Internet of Things”, modern network architecture, and other advances in the field of IT; the work provides applied examples of their potential use in the field of combating corruption. The study gives reasons that, in the context of combating corruption, digitalization should be allocated in a separate area of activity that is controlled and regulated by the state.

scholarly journals Corporate Governance of Artificial Intelligence in the Public Interest

Information ◽  
2021 ◽  
Vol 12 (7) ◽  
pp. 275
Author(s):  
Peter Cihon ◽  
Jonas Schuett ◽  
Seth D. Baum
Keyword(s):  
Artificial Intelligence ◽  
Corporate Governance ◽  
Law Enforcement ◽  
Nonprofit Organizations ◽  
Public Interest ◽  
Department Of Defense ◽  
The Public ◽  
Wide Range ◽  
The Media ◽  
The U.S

Corporations play a major role in artificial intelligence (AI) research, development, and deployment, with profound consequences for society. This paper surveys opportunities to improve how corporations govern their AI activities so as to better advance the public interest. The paper focuses on the roles of and opportunities for a wide range of actors inside the corporation—managers, workers, and investors—and outside the corporation—corporate partners and competitors, industry consortia, nonprofit organizations, the public, the media, and governments. Whereas prior work on multistakeholder AI governance has proposed dedicated institutions to bring together diverse actors and stakeholders, this paper explores the opportunities they have even in the absence of dedicated multistakeholder institutions. The paper illustrates these opportunities with many cases, including the participation of Google in the U.S. Department of Defense Project Maven; the publication of potentially harmful AI research by OpenAI, with input from the Partnership on AI; and the sale of facial recognition technology to law enforcement by corporations including Amazon, IBM, and Microsoft. These and other cases demonstrate the wide range of mechanisms to advance AI corporate governance in the public interest, especially when diverse actors work together.

scholarly journals Governing artificial intelligence: ethical, legal and technical opportunities and challenges

2018 ◽  
Vol 376 (2133) ◽  
pp. 20180080 ◽  
Author(s):  
Corinne Cath
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Law Enforcement ◽  
Urban Infrastructure ◽  
Humanitarian Aid ◽  
Special Issue ◽  
Theme Issue ◽  
Ethical Frameworks ◽  
Recent Developments ◽  
Risk Areas

This paper is the introduction to the special issue entitled: ‘Governing artificial intelligence: ethical, legal and technical opportunities and challenges'. Artificial intelligence (AI) increasingly permeates every aspect of our society, from the critical, like urban infrastructure, law enforcement, banking, healthcare and humanitarian aid, to the mundane like dating. AI, including embodied AI in robotics and techniques like machine learning, can improve economic, social welfare and the exercise of human rights. Owing to the proliferation of AI in high-risk areas, the pressure is mounting to design and govern AI to be accountable, fair and transparent. How can this be achieved and through which frameworks? This is one of the central questions addressed in this special issue, in which eight authors present in-depth analyses of the ethical, legal-regulatory and technical challenges posed by developing governance regimes for AI systems. It also gives a brief overview of recent developments in AI governance, how much of the agenda for defining AI regulation, ethical frameworks and technical approaches is set, as well as providing some concrete suggestions to further the debate on AI governance. This article is part of the theme issue ‘Governing artificial intelligence: ethical, legal, and technical opportunities and challenges’.

scholarly journals Digital and Intelligent Public Administration: transformations in the era of artificial intelligence

2018 ◽  
Vol 18 (71) ◽  
pp. 55-87 ◽  
Author(s):  
Juan Gustavo Corvalán
Keyword(s):  
Artificial Intelligence ◽  
Public Administration ◽  
Information And Communication Technologies ◽  
Industrial Revolution ◽  
New Technologies ◽  
Technological Development ◽  
Digital Era ◽  
Challenges And Opportunities ◽  
Information And Communication ◽  
The Impact

This article addresses the impact of the digital era and it specifically refers to information and communication technologies (ICT) in Public Administration. It is based on the international approach and underscores the importance of incorporating new technologies established by the United Nations and the Organization of American States. Thereon, it highlights the Argentine Republic national approach towards ICT, and how it has moved towards a digital paradigm. It then emphasizes on the challenges and opportunities that emerge from the impact that artificial intelligence has in transforming Public Administration. Finally, it concludes that the key challenge of the Fourth Industrial Revolution is to achieve a boost towards a Digital and Intelligent Administration and government, which promotes the effectiveness of rights and an inclusive technological development that assures the digital dignity of people.  

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