The text explores the challenges that generative AI poses to EU copyright law, focusing on two main issues: the use of copyrighted materials in developing AI models and the publication of generated digital content. The inquiry assesses the applicability of existing copyright exceptions for tasks like data mining, temporary reproduction, and database rights during the development of AI models. For the publication of generated content, the focus is on determining conditions for legal recognition as a derivative work. The text argues that generative AI falls under the flexible concepts of Arts. 3 and 4 CDSMD, with potential support for AI models generating marketing or entertainment content. However, existing exceptions do not fully support the generative AI development process. Commercial deployment of generated output may not be covered by exceptions, and its classification as a lawful derivative work depends on further clarification from the EU legislator or CJEU. The text suggests that non-authorial output should be allowed as derivative works, considering the low threshold for originality and recognizability criteria. To be lawful, derivative AI works should incorporate original parts that fade into the background, with personal style not protected by copyright but considered in an adapted derivatives test. Fair remuneration is proposed for generative AI services to address economic impacts on creatives.
| Identifer | oai:union.ndltd.org:DRESDEN/oai:qucosa:de:qucosa:88324 |
| Date | 28 November 2023 |
| Creators | Danda, Clemens |
| Source Sets | Hochschulschriftenserver (HSSS) der SLUB Dresden |
| Language | English |
| Detected Language | English |
| Type | info:eu-repo/semantics/publishedVersion, doc-type:article, info:eu-repo/semantics/article, doc-type:Text |
| Rights | info:eu-repo/semantics/openAccess |
| Relation | urn:nbn:de:bsz:15-qucosa2-881960, qucosa:88196 |
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