The DOI matches its Crossref record; 58 of the 58 references it cites were found in a registry or an index.
Patentability of AI-Generated Inventions: Is a Reform of the Patent System Needed?
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“In this perspective, as noted by some scholars, it would likely be necessary to adopt a broader interpretation of the inventive step requirement, which should be understood in terms of non-obviousness to a person skilled in the art assisted by AI, i.e., an AI-aided human expert [63,64].”
From Generative AI in EU law: Liability, privacy, intellectual property, and cybersecurity (2024) · cites this paper as [63]
Citations
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Cited by
Generative AI in EU law: Liability, privacy, intellectual property, and cybersecurity
Novelli, C., Casolari, F., Hacker, P., Spedicato, G., & Floridi, L. (2024) · Computer Law & Security Review · doi:10.1016/j.clsr.2024.106066 · Cited by 124
Generative Ai in EU Law: Liability, Privacy, Intellectual Property, and Cybersecurity
Novelli, C., Casolari, F., Hacker, P., Spedicato, G., & Floridi, L. (2024) · doi:10.2139/ssrn.4821952 · Cited by 57
Metadata
- Authors
- Ramalho, A.
- Venue
- SSRN Electronic Journal
- Publisher
- Elsevier BV
- Published
- 2018
- ISSN
- 1556-5068
- Cited by
- 20
- References
- 58
- Language
- en
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- Ramalho, A. (2018). Patentability of AI-Generated Inventions: Is a Reform of the Patent System Needed? SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3168703
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.