Matches in SemOpenAlex for { <https://semopenalex.org/work/W3011327720> ?p ?o ?g. }
Showing items 1 to 71 of
71
with 100 items per page.
- W3011327720 endingPage "411" @default.
- W3011327720 startingPage "398" @default.
- W3011327720 abstract "JIPITEC 10 (2020) 3 - Nowadays, Artificial Intelligence (AI) is described as “the new electricity”. Current algorithmic innovation allowed the development of software which enables machines to learn and to achieve autonomous decision making, with limited or no human involvement, in a vast number of applications, such as speech recognition, machine translation and algorithmic creation of works (computer generated art), on the basis of a process widely known as Machine Learning (ML). Within the ML context, machines are repeatedly trained by means of specifically designed learning algorithms that use a corpus of examples in the form of data sets as training material. Very often and, especially in the context of algorithmic creativity, the training material is mainly composed by copyrighted works, such as texts, images, paintings, musical compositions, and others. Machine Learning workflow typically involves the realization of (multiple) reproductions of any protected work used as training material. The present paper aims to assess the extent to which the use of copyrighted works for Machine Learning purposes in the field of algorithmic creativity is controlled by the monopolistic power of the copyright rightholder on that work. The answer to this question will be researched in the context of EU copyright law, by examining the content of reproduction right and exceptions possibly applicable in a typical ML workflow in the field of algorithmic art, before making an overall assessment of the current EU regulatory framework for artistic ML projects, as it is shaped after the DSM Directive 2019/790." @default.
- W3011327720 created "2020-03-23" @default.
- W3011327720 creator A5031650814 @default.
- W3011327720 date "2020-02-21" @default.
- W3011327720 modified "2023-09-23" @default.
- W3011327720 title "Copyright lessons on Machine Learning: what impact on algorithmic art?" @default.
- W3011327720 hasPublicationYear "2020" @default.
- W3011327720 type Work @default.
- W3011327720 sameAs 3011327720 @default.
- W3011327720 citedByCount "0" @default.
- W3011327720 crossrefType "journal-article" @default.
- W3011327720 hasAuthorship W3011327720A5031650814 @default.
- W3011327720 hasConcept C11012388 @default.
- W3011327720 hasConcept C119857082 @default.
- W3011327720 hasConcept C151730666 @default.
- W3011327720 hasConcept C154945302 @default.
- W3011327720 hasConcept C177212765 @default.
- W3011327720 hasConcept C17744445 @default.
- W3011327720 hasConcept C199539241 @default.
- W3011327720 hasConcept C202444582 @default.
- W3011327720 hasConcept C2779343474 @default.
- W3011327720 hasConcept C33923547 @default.
- W3011327720 hasConcept C41008148 @default.
- W3011327720 hasConcept C77088390 @default.
- W3011327720 hasConcept C86803240 @default.
- W3011327720 hasConcept C9652623 @default.
- W3011327720 hasConceptScore W3011327720C11012388 @default.
- W3011327720 hasConceptScore W3011327720C119857082 @default.
- W3011327720 hasConceptScore W3011327720C151730666 @default.
- W3011327720 hasConceptScore W3011327720C154945302 @default.
- W3011327720 hasConceptScore W3011327720C177212765 @default.
- W3011327720 hasConceptScore W3011327720C17744445 @default.
- W3011327720 hasConceptScore W3011327720C199539241 @default.
- W3011327720 hasConceptScore W3011327720C202444582 @default.
- W3011327720 hasConceptScore W3011327720C2779343474 @default.
- W3011327720 hasConceptScore W3011327720C33923547 @default.
- W3011327720 hasConceptScore W3011327720C41008148 @default.
- W3011327720 hasConceptScore W3011327720C77088390 @default.
- W3011327720 hasConceptScore W3011327720C86803240 @default.
- W3011327720 hasConceptScore W3011327720C9652623 @default.
- W3011327720 hasIssue "3" @default.
- W3011327720 hasLocation W30113277201 @default.
- W3011327720 hasOpenAccess W3011327720 @default.
- W3011327720 hasPrimaryLocation W30113277201 @default.
- W3011327720 hasRelatedWork W131965484 @default.
- W3011327720 hasRelatedWork W1531393276 @default.
- W3011327720 hasRelatedWork W1563853840 @default.
- W3011327720 hasRelatedWork W2025139391 @default.
- W3011327720 hasRelatedWork W2169470314 @default.
- W3011327720 hasRelatedWork W2251114590 @default.
- W3011327720 hasRelatedWork W2290189585 @default.
- W3011327720 hasRelatedWork W2479952315 @default.
- W3011327720 hasRelatedWork W2579885852 @default.
- W3011327720 hasRelatedWork W2613229976 @default.
- W3011327720 hasRelatedWork W2953895108 @default.
- W3011327720 hasRelatedWork W2954586346 @default.
- W3011327720 hasRelatedWork W2963161035 @default.
- W3011327720 hasRelatedWork W2983687130 @default.
- W3011327720 hasRelatedWork W2995377166 @default.
- W3011327720 hasRelatedWork W2998928070 @default.
- W3011327720 hasRelatedWork W3012082522 @default.
- W3011327720 hasRelatedWork W3161451991 @default.
- W3011327720 hasRelatedWork W3171666135 @default.
- W3011327720 hasRelatedWork W2979244618 @default.
- W3011327720 hasVolume "10" @default.
- W3011327720 isParatext "false" @default.
- W3011327720 isRetracted "false" @default.
- W3011327720 magId "3011327720" @default.
- W3011327720 workType "article" @default.