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 :
- Aina, N. (2024). Ethical implications and legal frameworks for privacy in artificial intelligence: A global perspective. International Journal of Social Analytics, 9(5), 1-10.
- Bennett, C. J., & Raab, C. D. (2020). Revisiting the governance of privacy: Contemporary policy instruments in global perspective. Regulation & Governance, 14(3), 447-464. https://doi.org/10.1111/rego.12229
- Cath, C. (2018). Governing artificial intelligence: Ethical, legal and technical opportunities and challenges. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 376(2133), 20180080. https://doi.org/10.1098/rsta.2018.0080
- Hoxhaj, O., Halilaj, B., & Harizi, A. (2023). Ethical implications and human rights violations in the age of artificial intelligence. Balkan Social Science Review, 22(22), 153-171.
- Ishii, K. (2019). Comparative legal study on privacy and personal data protection for robots equipped with artificial intelligence: Looking at functional and technological aspects. AI & Society, 34, 509-533. https://doi.org/10.1007/s00146-018-0849-7
- Lacroix, P. (2019). Big data privacy and ethical challenges. In Big Data, Big Challenges: A Healthcare Perspective: Background, Issues, Solutions and Research Directions (pp. 101-111). Springer.
- Naik, N., Hameed, B. Z., Shetty, D. K., Swain, D., Shah, M., Paul, R., ... & Somani, B. K. (2022). Legal and ethical consideration in artificial intelligence in healthcare: Who takes responsibility? Frontiers in Surgery, 9, 862322. https://doi.org/10.3389/fsurg.2022.862322
- Peltz, J., & Street, A. C. (2020). Artificial intelligence and ethical dilemmas involving privacy. In Artificial Intelligence and Global Security: Future Trends, Threats and Considerations (pp. 95-120). Emerald Publishing Limited.
- Rustad, M. L., & Koenig, T. H. (2019). Towards a global data privacy standard. Florida Law Review, 71(1), 365-411.
- Scheibner, J., Ienca, M., Kechagia, S., Troncoso-Pastoriza, J. R., Raisaro, J. L., Hubaux, J. P., & Vayena, E. (2020). Data protection and ethics requirements for multisite research with health data: A comparative examination of legislative governance frameworks and the role of data protection technologies. Journal of Law and the Biosciences, 7(1), lsaa010. https://doi.org/10.1093/jlb/lsaa010
- Sharma, S. (2019). Data privacy and GDPR handbook. John Wiley & Sons.
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.