A Study On Artificial Intelligence Ethics In Education

This rapid advancement and development of Artificial Intelligence (AI) technologies has significantly transformed various sectors, like research and development sectors, education sectors including education. As educational institutions increasingly integrate AI tools and systems, to gather information, data and other necessary items, use of Artificial Intelligence (AI) has become a common practice as well as a basic necessity. This study explores the necessity of incorporating AI ethics into education curricula, examining how ethical considerations can guide the development, deployment, and use of AI technologies within academic settings, this study also includes the negative impact that AI is putting on our human mind, human intelligence and the thinking ability of the human beings. We will find out how the AI is making us lazy not to use our own brain or study books and other informative items like journals, research papers, magazines etc to gather information. Through a comprehensive review of current literature and case studies, the research highlights key ethical concerns such as data privacy, algorithmic bias, and the impact of AI on academic integrity and student outcomes (Anderson & Anderson, 2018; Binns, 2018). The study also assesses existing frameworks and guidelines for AI ethics and their applicability to education contexts (Chen et al., 2020). By identifying gaps and proposing actionable recommendations, this study aims to provide educators, policymakers, and AI practitioners with a strategic approach to embedding ethical practices in AI-related education. The findings underscore the importance of developing a multidisciplinary approach to AI ethics that incorporates insights from computer science, philosophy, law, and education to ensure that AI technologies are used responsibility and equitably in academic environments (Floridi, 2019; Holmes et al., 2019).

Authors

Publication Details

Journal
International Journal For Multidisciplinary Research
Published
2025-02-20
DOI
https://doi.org/10.36948/ijfmr.2025.v07i01.36798
Citations
1
Primary Topic
Technology and Data Analysis
Type
article
Field-Weighted Citation Impact
3.25
Controls
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article

A Study On Artificial Intelligence Ethics In Education

M. Harikrishnan, Harsh Vardhan Vashistha
1 citations
International Journal For Multidisciplinary Research
Technology and Data Analysis
3.25
article

A Study On Artificial Intelligence Ethics In Education

M. Harikrishnan, Harsh Vardhan Vashistha
article en
1 citations

Abstract

This rapid advancement and development of Artificial Intelligence (AI) technologies has significantly transformed various sectors, like research and development sectors, education sectors including education. As educational institutions increasingly integrate AI tools and systems, to gather information, data and other necessary items, use of Artificial Intelligence (AI) has become a common practice as well as a basic necessity. This study explores the necessity of incorporating AI ethics into education curricula, examining how ethical considerations can guide the development, deployment, and use of AI technologies within academic settings, this study also includes the negative impact that AI is putting on our human mind, human intelligence and the thinking ability of the human beings. We will find out how the AI is making us lazy not to use our own brain or study books and other informative items like journals, research papers, magazines etc to gather information. Through a comprehensive review of current literature and case studies, the research highlights key ethical concerns such as data privacy, algorithmic bias, and the impact of AI on academic integrity and student outcomes (Anderson & Anderson, 2018; Binns, 2018). The study also assesses existing frameworks and guidelines for AI ethics and their applicability to education contexts (Chen et al., 2020). By identifying gaps and proposing actionable recommendations, this study aims to provide educators, policymakers, and AI practitioners with a strategic approach to embedding ethical practices in AI-related education. The findings underscore the importance of developing a multidisciplinary approach to AI ethics that incorporates insights from computer science, philosophy, law, and education to ensure that AI technologies are used responsibility and equitably in academic environments (Floridi, 2019; Holmes et al., 2019).

International Journal For Multidisciplinary ResearchVol. 7(1)
Openalex Percentile: Top 11%
Technology and Data Analysis
3.25
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