Ethical Considerations in Implementing AI in Special Education
DOI:
https://doi.org/10.48047/891fkv68Keywords:
.Abstract
The integration of Artificial Intelligence (AI) in special education offers promising opportunities for personalized learning and enhanced support for students with disabilities. However, the ethical implications of such technologies must be critically examined to ensure that they benefit all learners without exacerbating existing inequalities. This review article explores the ethical
considerations associated with AI in special education, focusing on issues such as data privacy, bias in algorithms, accessibility, informed consent, and the role of educators. By synthesizing recent research and expert opinions, this article aims to provide insights and recommendations for stakeholders involved in the implementation of AI technologies in special education.
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References
Angwin, J., Larson, J., Mattu, S., & Kirchner, L. (2016). Machine bias. ProPublica. Retrieved from https://www.propublica.org/article/machine-bias-risk-assessments-in criminal-sentencing
Baker, R. S., & Salter, D. (2020). Ethical considerations in educational data mining and learning analytics. Journal of Educational Data Mining, 12(2), 1-14.
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