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Ethical Considerations in Applying AI and Data Science in Education
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Author(s): S. Baghavathi Priya (Amrita Vishwa Vidyapeetham, India), T. Harinderan (Amrita Vishwa Vidyapeetham, India), Faiz Rahaman (Amrita Vishwa Vidyapeetham, India)and M. Tamilselvi (University of Technology and Applied Sciences, Oman)
Copyright: 2025
Pages: 24
Source title:
Driving Quality Education Through AI and Data Science
Source Author(s)/Editor(s): Thangavel Murugan (United Arab Emirates University, UAE), Karthikeyan P. (Thiagarajar College of Engineering, India)and A.M. Abirami (Thiagarajar College of Engineering, India)
DOI: 10.4018/979-8-3693-8292-9.ch006
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Abstract
Artificial Intelligence (AI) by applying Data Science in rapidly moving times, is a pedagogy that shifts and changes administrative aspects in the education sector. These include machine learning and deep learning; hence, these have significantly enhanced data-driven decision-making, although several ethical concerns are emerging. Major key issues within these are algorithmic biases, privacy of students, and lack of transparency within AI-driven decisions. Challenges That Confront Educational Institutions: Lack of quality datasets; overfitting in AI models. Fairness, transparency, and the security of data are enabled through ethical guidelines, which would mean periodic auditing, methods of mitigating bias, and a continuous process of integrating AI in schools by involving stakeholders. Ongoing monitoring will ensure that indeed AI's outcomes could be positive, meeting education-focused objectives coupled with ethics.
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