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Leveraging blockchain and artificial intelligence for enhanced copyright enforcement in South Africa
Leveraging Blockchain and Artificial Intelligence for Enhanced Copyright Enforcement in South Africa The Fourth Industrial Revolution has significantly impacted copyright enforcement, particularly in South Africa, where technological advancements have bolstered and challenged existing frameworks. Th...
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| Format: | Thesis |
| Language: | English |
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Department of Commercial Law
2025
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| _version_ | 1867613338790264832 |
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| access_status_str | Open Access |
| author | Mugauri, Joseph |
| author2 | Ncube, Caroline |
| author_browse | Mugauri, Joseph Ncube, Caroline |
| author_facet | Ncube, Caroline Mugauri, Joseph |
| author_sort | Mugauri, Joseph |
| collection | Thesis |
| description | Leveraging Blockchain and Artificial Intelligence for Enhanced Copyright Enforcement in South Africa The Fourth Industrial Revolution has significantly impacted copyright enforcement, particularly in South Africa, where technological advancements have bolstered and challenged existing frameworks. This dissertation explores the integration of blockchain and artificial intelligence (AI) to enhance copyright enforcement mechanisms in the digital realm. Current enforcement methods face several challenges, including lengthy legal proceedings, slow legislative updates, circumvention techniques, accessibility concerns, non-compliance, and algorithmic bias. These issues necessitate innovative solutions to protect intellectual property rights effectively. With its decentralised and immutable nature, blockchain technology offers promising solutions for transparent and efficient copyright enforcement. Concurrently, AI technologies such as machine learning, deep learning, and adaptive algorithms can enhance the detection and prevention of copyright infringements, including brute force attacks, malware, phishing, and illegal streaming. This research delves into the potential of AI and blockchain for detecting infringing content, blockchain-based arbitration platforms for resolving disputes, and adaptive watermarking algorithms to trace the unauthorised use of digital content. The benefits of these technologies include increased efficiency, improved accuracy, transparency, and traceability. However, implementing these technologies poses challenges such as regulatory compliance, privacy concerns, ethical considerations, and associated costs. It recommends policy updates, ethical guidelines, and collaborative efforts to ensure blockchain and AI's responsible and effective use in copyright enforcement. By leveraging these technologies, South Africa can strengthen its copyright framework, fostering creativity and innovation while safeguarding intellectual property rights in the digital age. |
| format | Thesis |
| id | oai:open.uct.ac.za:11427/42490 |
| institution | University of Cape Town (South Africa) |
| language | eng |
| last_indexed | 2026-06-10T12:34:33.896Z |
| license_str | Not specified — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| publisher | Department of Commercial Law |
| publisherStr | Department of Commercial Law |
| record_format | dspace |
| source_str | UCTD — University of Cape Town Open Access Repository |
| spelling | oai:open.uct.ac.za:11427/42490 Leveraging blockchain and artificial intelligence for enhanced copyright enforcement in South Africa Mugauri, Joseph Ncube, Caroline blockchain artificial intelligence copyright enforcement digital copyright intellectual property South Africa technological protection measures smart contracts digital infringement detection Leveraging Blockchain and Artificial Intelligence for Enhanced Copyright Enforcement in South Africa The Fourth Industrial Revolution has significantly impacted copyright enforcement, particularly in South Africa, where technological advancements have bolstered and challenged existing frameworks. This dissertation explores the integration of blockchain and artificial intelligence (AI) to enhance copyright enforcement mechanisms in the digital realm. Current enforcement methods face several challenges, including lengthy legal proceedings, slow legislative updates, circumvention techniques, accessibility concerns, non-compliance, and algorithmic bias. These issues necessitate innovative solutions to protect intellectual property rights effectively. With its decentralised and immutable nature, blockchain technology offers promising solutions for transparent and efficient copyright enforcement. Concurrently, AI technologies such as machine learning, deep learning, and adaptive algorithms can enhance the detection and prevention of copyright infringements, including brute force attacks, malware, phishing, and illegal streaming. This research delves into the potential of AI and blockchain for detecting infringing content, blockchain-based arbitration platforms for resolving disputes, and adaptive watermarking algorithms to trace the unauthorised use of digital content. The benefits of these technologies include increased efficiency, improved accuracy, transparency, and traceability. However, implementing these technologies poses challenges such as regulatory compliance, privacy concerns, ethical considerations, and associated costs. It recommends policy updates, ethical guidelines, and collaborative efforts to ensure blockchain and AI's responsible and effective use in copyright enforcement. By leveraging these technologies, South Africa can strengthen its copyright framework, fostering creativity and innovation while safeguarding intellectual property rights in the digital age. 2025-12-24T08:54:00Z 2025-12-24T08:54:00Z 2025 2025-12-24T08:51:36Z Thesis / Dissertation Masters LLM http://hdl.handle.net/11427/42490 eng application/pdf Department of Commercial Law Faculty of Law University of Cape Town |
| spellingShingle | blockchain artificial intelligence copyright enforcement digital copyright intellectual property South Africa technological protection measures smart contracts digital infringement detection Mugauri, Joseph Leveraging blockchain and artificial intelligence for enhanced copyright enforcement in South Africa |
| thesis_degree_str | Master's |
| title | Leveraging blockchain and artificial intelligence for enhanced copyright enforcement in South Africa |
| title_full | Leveraging blockchain and artificial intelligence for enhanced copyright enforcement in South Africa |
| title_fullStr | Leveraging blockchain and artificial intelligence for enhanced copyright enforcement in South Africa |
| title_full_unstemmed | Leveraging blockchain and artificial intelligence for enhanced copyright enforcement in South Africa |
| title_short | Leveraging blockchain and artificial intelligence for enhanced copyright enforcement in South Africa |
| title_sort | leveraging blockchain and artificial intelligence for enhanced copyright enforcement in south africa |
| topic | blockchain artificial intelligence copyright enforcement digital copyright intellectual property South Africa technological protection measures smart contracts digital infringement detection |
| url | http://hdl.handle.net/11427/42490 |
| work_keys_str_mv | AT mugaurijoseph leveragingblockchainandartificialintelligenceforenhancedcopyrightenforcementinsouthafrica |