Text and Data Mining Exception in South America: A Way to Foster AI Development in the Region

2021 ◽  
Author(s):  
Matías Jackson Bertón
Keyword(s):  
Artificial Intelligence ◽  
Data Mining ◽  
South America ◽  
International Organizations ◽  
Computational Analysis ◽  
Digital Technologies ◽  
Current State ◽  
Research Techniques ◽  
Competitive Disadvantage ◽  
Text And Data Mining

  In 2015, authors wondered if Europe was falling behind in the artificial intelligence (AI) race because of the lack of a text and data mining (TDM) exception. What can then be said for South America? Copyright regimes and their interaction with the development of digital technologies in this continent have been overlooked by authors. This paper intends to start filling this gap by mapping the current state of copyright exceptions that serve computational analysis in South America. After reviewing the copyright regimes of the five largest economies of the region (i.e. Argentina, Brazil, Chile, Colombia and Peru), I concluded that they are not prepared for digital research techniques such as text and data mining. Researchers in these countries are at a competitive disadvantage, as rigid and outdated copyright regimes act as a constraint against keeping pace with the latest developments in subsequent years. If policymakers want to develop their nations’ AI capabilities, as many governments and international organizations claim they do, they will need to look for a more flexible and enabling approach to copyright.

scholarly journals Strategic development of scientific and technical potential of industry during the digital transformation of economy

2021 ◽  
Vol 14 (4) ◽  
pp. 410-417
Author(s):  
T. O. Tolstykh ◽  
S. E. Afonin
Keyword(s):  
Artificial Intelligence ◽  
Digital Technologies ◽  
Digital Transformation ◽  
The Internet ◽  
Strategic Development ◽  
Industrial Enterprises ◽  
Current State ◽  
Technical Potential ◽  
The World ◽  
The Internet Of Things

Currently the speeding up of digital transformation makes it obvious that application of digital technologies and the degree of involvement into digital transformation is an essential and significant aspect of scientific and technical potential of an industrial enterprise. The article is devoted to the analysis of trends and prospects of development of basic technologies which are the basis for digital transformation of the world economics: the Internet of things, artificial intelligence, robotization and technologies of the big data processing. The authors present the assessment of the current state of digitalization for Russian industrial enterprises by analyzing the data on the implementation of the above mentioned technologies in business-process.

scholarly journals Limitations to Text and Data Mining and Consumer Empowerment. Making the Case for a Right to “Machine Legibility”

2020 ◽  
Author(s):  
Rossana Ducato ◽  
Alain Strowel
Keyword(s):  
Artificial Intelligence ◽  
Data Mining ◽  
Intellectual Property Rights ◽  
Data Protection ◽  
Consumer Empowerment ◽  
Protection Measures ◽  
Legal Constraints ◽  
Access To Data ◽  
Legal Barriers ◽  
Text And Data Mining

The paper focuses on the current legal barriers to text and data mining (TDM) in the context of smart disclosure systems (SDSs) whose aim is to provide consumers with improved access to the data needed to make informed decisions. The use of intellectual property rights and contracts, combined with technological protection measures, can hinder TDM and the deployment of SDSs.Further, those legal constraints can negatively impact artificial intelligence innovation that requires improved access to data. There are thus various arguments for enhanced “machine legibility”.However, the TDM exception included in the draft Copyright in the DSM Directive and the various amendments proposed by the European Parliament or the Council do not appear to clear the way for enhanced “machine legibility”. In relation to SDSs, we also argue that the principle of transparency, embedded in consumer and data protection laws, can serve as a last line of defence against prohibition of TDM.

scholarly journals Digital Transformation in the Concept of Internal Banking Risk Management

2020 ◽  
pp. 45-50
Author(s):  
D. V. Pasinitsky
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Data Mining ◽  
Risk Management ◽  
Digital Technologies ◽  
Digital Transformation ◽  
Targeted Analysis ◽  
Banking Risk ◽  
Learning Data

The article is devoted to a targeted analysis of promising displacements in the guiding ideas of managing internal banking risks. Based on the study, the author proposes to intensify the introduction of digital technologies in banking practice based on: artificial intelligence, machine learning, data mining.

Article 4—Exception or Limitation for Text and Data Mining

2021 ◽  
pp. 60-92
Author(s):  
Eleonora Rosati
Keyword(s):  
Data Mining ◽  
Cultural Heritage ◽  
Subject Matter ◽  
Digital Technologies ◽  
Internal Market ◽  
Member States ◽  
Exceptions And Limitations ◽  
Fair Balance ◽  
Text And Data Mining ◽  
Copyright Directive

This chapter focuses on Article 4 of Directive 2019/790, the European copyright directive, which require Member States to provide for an exception or limitation for reproductions and extractions of works and other subject matter for the purposes of text and data mining. It talks about digital technologies that permit new types of uses that are not clearly covered by the existing Union rules on exceptions and limitations in the fields of research, innovation, education, and preservation of cultural heritage. It also describes the optional nature of exceptions and limitations that could negatively impact the functioning of the internal market. The chapter discusses the exceptions and limitations provided in Directive 2019/790 that seek to achieve a fair balance between the rights and interests of authors, other rightholders, and users. It clarifies that text and data mining can be carried out in relation to mere facts or data that are not protected by copyright.

scholarly journals Transformation of Management Technologies in the Digital Economy

2019 ◽  
pp. 39-47 ◽  
Author(s):  
P. A. Levchaev ◽  
B. Khezazna
Keyword(s):  
Artificial Intelligence ◽  
Human Resources ◽  
Comparative Study ◽  
Social Groups ◽  
Digital Technologies ◽  
Digital Economy ◽  
Control Subsystem ◽  
Current State ◽  
The World ◽  
User Groups

The discussion issues of the digital economy and its corresponding tools and management technologies are studied, attention is paid to the current state of digital technologies, economic principles and provisions of formation and peculiarities of functioning, forecasts of the development of digitalization processes in society are made. Comparative study of classical views of management in the conditions of intensification of processes of digitization and building digital models of the world, the peculiarities of the influence of the control subsystem, presented various algorithms, features, and components of artificial intelligence to the control subsystem, namely, personnel, human resources, user groups, social groups. The conclusion is made about the cardinal change of management paradigm and depersonalization of highly effective processes of management of various focus groups by formalized and algorithmized teams of artificial intelligence.

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