Text and Data Mining Exceptions in Latin America

被引:1
作者
Schirru, Luca [1 ]
de Souza, Allan Rocha [2 ,3 ]
Valente, Mariana G. [4 ]
Lana, Alice de Perdigao [5 ]
机构
[1] Brazilian Copyright Inst, Rio De Janeiro, Brazil
[2] Fed Univ Rio De Janeiro PPED UFRJ, Grad Program Publ Policy Strategies & Dev, Rio De Janeiro, Brazil
[3] Fed Univ Rio De Janeiro DDHL ITR UFRRJ, Civil Law & Humanities Dept, Inst Tres Rios, Rio De Janeiro, Brazil
[4] Univ St Gallen, St Gallen, Switzerland
[5] Fed Univ Rio De Janeiro PPED UFRJ, Publ Policy Strategies & Dev, Rio De Janeiro, Brazil
关键词
Text and data mining; Copyright; Research; Artificial intelligence; Latin America;
D O I
10.1007/s40319-024-01511-2
中图分类号
D9 [法律]; DF [法律];
学科分类号
0301 ;
摘要
Text and data mining (TDM) is a powerful tool in the knowledge discovery process and an essential step in the process of training Artificial Intelligence (AI) systems. Whether forms of use needed for TDM conflict with copyright rules is still a matter for debate within the specialized literature and when designing new legislation across the globe. Despite the borderless nature of research and the fact that the interplay between TDM and copyright is a matter of interest to all regions, most of the focus in the existing literature is on countries or examples from the Global North. This study contributes to filling this gap by providing additional information on recent developments across Latin America regarding the need for copyright legislation to adapt to data-intensive research practices and uses. It also provides a set of practical examples and issues specific to that region. It is hoped that these will, at least, partially, contribute to a more universal approach to the issue around the globe.
引用
收藏
页码:1624 / 1653
页数:30
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