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Since 2010, automated news, or artificial intelligence system (AIS)-assisted generation of news articles, has been created. It encompasses a number of approaches that require varying degrees of data, software, and human engagement. This may have several effects on the implementation of intellectual property and copyright law. Using comparative legal methodologies, we investigate their consequences for certain legal categories, such as authorship (and, by extension, needed originality) and kinds of works, including collaborative, derivative, and, most notably, communal works. Sui generis and adjacent rights are also examined for their applicability to AIS-aided news productions. Our primary conclusion is that the economics intellectual property rights are protected by collaborative works in any situation. We suggest a shorter period before a work enters the public domain. There is still a space for greater authoritarian and personal rights. However, it demonstrates more difficulties when it comes to moral rights, particularly in Common Law nations.
https://www.ijtsrd.com/other-scientific-research-area/other/18350/the-legal-ramifications-of-aipowered-news-systems-and-copyright-on-media-practices/mr-intikhab-alam-shamsi
340, NE Print media, copyright law, intellectual property, automated news
340, NE Print media, copyright law, intellectual property, automated news
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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