Legal and Ethical Implications of Data Privacy in Artificial Intelligence: A Review of Data Privacy among Learners in Kenyan Secondary Schools


Authors : Muli Mutuku

Volume/Issue : Volume 9 - 2024, Issue 9 - September


Google Scholar : https://tinyurl.com/3hbrsn4k

Scribd : https://tinyurl.com/s4zfz2k4

DOI : https://doi.org/10.38124/ijisrt/IJISRT24SEP208

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.


Abstract : The Artificial Intelligence (AI) incooperation in educational settings sparked significant discussions regarding data privacy, especially in secondary schools in Kenya. As AI technologies became increasingly prevalent, the oversight and guiding of students' individual information raised important legal and ethical concerns. This study explored the legal and ethical implications of data privacy in AI applications within Kenyan secondary schools, focusing on the unique challenges faced in this context. The problem statement addressed the growing concerns over the adequacy of current data privacy protections and the potential risks posed by AI systems handling sensitive student information. The study had three primary objectives: first, to assess the current legal frameworks and policies governing data privacy in Kenyan secondary schools; second, to evaluate the ethical considerations related to the use of AI technologies and their impact on students' privacy; and third, to identify best practices for enhancing data protection. The scope of the study was confined to secondary schools across Kenya, examining the intersection of legal regulations and ethical practices in managing student data within these institutions. The justification for this study lay in the increasing reliance on AI tools in education and the need to ensure that data privacy standards were robust enough to protect students' personal information. Data for this review was collected from secondary sources, including existing literature, policy documents, and previous research findings. The method of data collection involved a comprehensive literature review, followed by a qualitative analysis of the collected data to identify patterns and insights related to data privacy issues. The reason for the inquiry of the study was to provide a thorough review of the current state of data privacy among learners in Kenyan secondary schools and to offer recommendations for improving legal and ethical practices. By analyzing secondary sources, the study aimed to contribute to the development of more effective data privacy strategies and ensure that AI technologies were executed in a manner that safeguarded students' rights and interests.

Keywords : Artificial Intelligence (AI), Data Privacy, Legal Frameworks, Ethical Implications, Data Protection.

References :

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The Artificial Intelligence (AI) incooperation in educational settings sparked significant discussions regarding data privacy, especially in secondary schools in Kenya. As AI technologies became increasingly prevalent, the oversight and guiding of students' individual information raised important legal and ethical concerns. This study explored the legal and ethical implications of data privacy in AI applications within Kenyan secondary schools, focusing on the unique challenges faced in this context. The problem statement addressed the growing concerns over the adequacy of current data privacy protections and the potential risks posed by AI systems handling sensitive student information. The study had three primary objectives: first, to assess the current legal frameworks and policies governing data privacy in Kenyan secondary schools; second, to evaluate the ethical considerations related to the use of AI technologies and their impact on students' privacy; and third, to identify best practices for enhancing data protection. The scope of the study was confined to secondary schools across Kenya, examining the intersection of legal regulations and ethical practices in managing student data within these institutions. The justification for this study lay in the increasing reliance on AI tools in education and the need to ensure that data privacy standards were robust enough to protect students' personal information. Data for this review was collected from secondary sources, including existing literature, policy documents, and previous research findings. The method of data collection involved a comprehensive literature review, followed by a qualitative analysis of the collected data to identify patterns and insights related to data privacy issues. The reason for the inquiry of the study was to provide a thorough review of the current state of data privacy among learners in Kenyan secondary schools and to offer recommendations for improving legal and ethical practices. By analyzing secondary sources, the study aimed to contribute to the development of more effective data privacy strategies and ensure that AI technologies were executed in a manner that safeguarded students' rights and interests.

Keywords : Artificial Intelligence (AI), Data Privacy, Legal Frameworks, Ethical Implications, Data Protection.

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