| dc.contributor.author | Nderu, L. | |
| dc.contributor.author | Oginga, R. | |
| dc.contributor.author | Butichi, B. | |
| dc.contributor.author | Rono, J. | |
| dc.contributor.author | Njau, F. | |
| dc.contributor.author | Mogire, F. | |
| dc.contributor.author | Matindo, D. | |
| dc.contributor.author | Muiruri, D. | |
| dc.contributor.author | Kiragga, A. | |
| dc.date.accessioned | 2024-07-29T06:25:41Z | |
| dc.date.available | 2024-07-29T06:25:41Z | |
| dc.date.issued | 2024 | |
| dc.identifier.uri | 10.5334/dsj-2024-036 | |
| dc.identifier.uri | https://datascience.codata.org/articles/10.5334/dsj-2024-036 | |
| dc.identifier.uri | http://knowhub.aphrc.org/handle/123456789/1505 | |
| dc.description.abstract | The rapid expansion and use of digital data in the era of generative Artificial Intelligence raises significant challenges in legal compliance and ethical data handling. The DataLawCompanion (DLC) emerges as a pivotal tool, blending advanced Large Language Models like ChatGPT-4 with expert legal insights to democratize understanding of data protection laws. This paper explores DLC's role in simplifying complex legal frameworks for diverse stakeholders through a mixed-method approach, leveraging primary data from East African Data Protection Acts and comprehensive online research. Our findings underscore DLC's effectiveness in enhancing legal comprehension and compliance in the digital era. | |
| dc.publisher | Data Science Journal | |
| dc.subject | Digital Data | |
| dc.subject | Data Law Companion | |
| dc.subject | Data Protection Comprehension and Compliance in the Digital Era. | |
| dc.title | Data Law Companion: Enhancing Data Protection Law Compliance in the Digital Age | |
