Journal of Engineering and Engineering Technology - JEET |ADDRESSING ETHICAL CHALLENGES IN EDUCATIONAL RESEARCH: DATA PRIVACY, INFORMED CONSENT, AND AI BIAS IN CYBERSECURITY STUDIES

Paper Details

Title :ADDRESSING ETHICAL CHALLENGES IN EDUCATIONAL RESEARCH: DATA PRIVACY, INFORMED CONSENT, AND AI BIAS IN CYBERSECURITY STUDIES
Author(s) : John Oji1 & Caroline Ochuko Alordiah2
DOI: https://doi.org/10.51459/futajeet.2024.02.01.48
Abstract:

challenges posed by the integration of artificial intelligence (AI) in educational research, focusing on critical issues such as data privacy, informed consent, and AI bias. As educational institutions increasingly adopt AI technologies for assessment, personalized learning, and administrative efficiencies, the protection of student data becomes paramount. Ensuring robust data privacy measures is essential to prevent breaches that could jeopardize personal information. Furthermore, informed consent is vital, as participants must fully understand the implications of their involvement in AI-driven initiatives. This comprehension promotes trust and guarantees that research procedures adhere to ethical standards. The bias ingrained in AI algorithms is a serious issue as well since it has the potential to exacerbate already-existing disparities and produce unfair results in educational settings. The paper proposes the creation of thorough ethical frameworks that give responsible AI implementation techniques top priority in order to address these ethical issues. Ethical frameworks are proposed to address these issues, including guidelines for safeguarding data, promoting transparency in AI processes, and ensuring informed consent practices that reflect the complexities of AI technology. These kinds of frameworks would improve the integrity of educational research while helping scholars navigate the intricacies of AI technologies. The essay finishes with a call to action for researchers and educational institutions to engage in continuous research and the creation of best practices that decrease ethical issues. The call-to-action urges researchers and institutions to develop ethical frameworks addressing data privacy, informed consent, and AI bias. It calls for further research to establish best practices for fair and transparent AI-driven studies. Working together is essential to advancing moral principles in AI-driven education and fostering an atmosphere that is just, open, and courteous of all participants. In the end, putting ethics first in educational research is both a moral and a legal requirement that supports the integrity and sustainability of AI applications in education.

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