000050145 000__ 02344nam\a2200409\i\4500
000050145 001__ 50145
000050145 003__ SzGeWIPO
000050145 005__ 20241024004424.0
000050145 006__ m    eo  d        
000050145 007__ cr bn |||m|||a
000050145 008__ 241007s2024\\\\enk\\\\\o\\\\\000\0\eng\d
000050145 0247_ $$a10.1093/grurint/ikae088$$2doi
000050145 035__ $$a(OCoLC)1463455175
000050145 040__ $$aSzGeWIPO$$beng$$erda$$cSzGeWIPO$$dCaBNVSL
000050145 041__ $$aeng
000050145 24500 $$aOpt-Out Implied Licenses in Copyright Law :$$bFrom Search Engines to GPAI Models.
000050145 264_1 $$a[Oxford, England] :$$bOxford University Press (OUP),$$c2024.
000050145 300__ $$a1 online resource (pages  838-849)
000050145 336__ $$atext$$2rdacontent
000050145 337__ $$acomputer$$2rdamedia
000050145 338__ $$aonline resource$$bcr$$2rdacarrier
000050145 4901_ $$aGRUR International,$$x2632-8550 ;$$v73, 9, 2024
000050145 520__ $$aTraditionally, the doctrine of implied license is consistent with the default of copyright law, because it requires evidence of a clear grant. Currently, US and German courts have implicitly applied an extended doctrine of implied licenses in the search engine context: opt-out implied licenses. This article calls for legislative recognition of opt-out implied licenses and identifies the unique mechanism and independent position in copyright law. Furthermore, two criteria, i.e. efficiency and balance, are proposed to assess the applicability of the doctrine. The proposed criteria can guide legislators in crafting legal norms that the opt-out implied license applies in specific contexts. On this basis, this article makes the case that opt-out implied licenses have some implications for training general-purpose AI models (hereinafter ‘GPAI models’) using copyrighted materials and that the proposed criteria can help better design and improve the law.
000050145 542__ $$fhttps://academic.oup.com/grurint/article/72/3/231/6998505
000050145 588__ $$aCrossref
000050145 590__ $$aPublished online: 17-Jul-24
000050145 650_4 $$aCopyright$$xLaw and legislation.
000050145 650_0 $$aLicense agreements.
000050145 650_0 $$aArtificial intelligence.
000050145 650_0 $$aCopyright.
000050145 7001_ $$aZhang, Hongijao,$$eauthor.
000050145 7001_ $$aLi, Yahong,$$eauthor.
000050145 7731_ $$tGRUR International$$wGRUR
000050145 830_0 $$aGRUR International ;$$v73, 9, 2024,$$x2632-8550.
000050145 85641 $$uhttps://doi.org/10.1093/grurint/ikae088$$yonline version
000050145 904__ $$aJournal article
000050145 980__ $$aGRUR