Copyright Law as it pertains to machine learning as an artificial intelligence pillar in South Africa
| dc.contributor.advisor | Wandrag, Riekie | |
| dc.contributor.author | Fisher, Amy | |
| dc.date.accessioned | 2025-08-01T13:35:44Z | |
| dc.date.available | 2025-08-01T13:35:44Z | |
| dc.date.issued | 2024 | |
| dc.description.abstract | Globally, artificial intelligence has drawn much interest in the literature in most sectors of the economy. What many scholars have been grappling with is the relationship between artificial intelligence and legislation. Some of these areas include criminal law, labour law, ethics, amongst other areas. Hence, it is no surprise that artificial intelligence also raises issues in copyright law, mainly concerning a critical question about what protection authors and owners have with regard to artificial intelligence and copyright law. Based on an examination of artificial intelligence and copyright law (that is, the existing intellectual property system), this mini-thesis contends that the current legislation is inadequate to keep abreast with the advances and complexity of artificial intelligence. The absence of updated copyright legislation is a serious concern for artificial intelligence authors and owners. This problematic phenomenon presents itself all over the world, such as the United States, the United Kingdom, China and many other countries. Several efforts made to protect the author and owner has rendered ineffective, due to the insurmountable challenge of keeping pace with the rapid advances of technology. | |
| dc.identifier.uri | https://hdl.handle.net/10566/20650 | |
| dc.language.iso | en | |
| dc.publisher | University of the Western Cape | |
| dc.subject | Artificial intelligence | |
| dc.subject | Copyright | |
| dc.subject | Copyright protection | |
| dc.subject | Intellectual property | |
| dc.subject | South Africa | |
| dc.title | Copyright Law as it pertains to machine learning as an artificial intelligence pillar in South Africa | |
| dc.type | Thesis |