Inclusive education through artificial intelligence: Opportunities, challenges, and ethical considerations

Abstract

The introduction of artificial intelligence into the educational system is the most promising in terms of realizing inclusive education, but there are still a lot of problems and ethical issues. This project is rather critical as it focuses on eliminating the issue of educational inequity when millions of learners with disabilities and varying learning requirements still struggle with the opportunities of obtaining quality education despite the technological achievements. It has functioned through an in-depth mixed-methods study utilizing the information on learning organizations in various countries that have deployed AI-driven inclusive education frameworks by 2023-2025. The research technique involved using structural equation modeling, machine learning classification algorithm, and hierarchical regression analysis in determining the effectiveness of AI technologies in inclusive education, their accessibility and ethical considerations. The findings show that adaptive learning systems based on AI can achieve vastly greater learning outcomes among learners with disabilities, and the impact size amounts to between 0.68 and 1.24 in various categories of disabled people. Nonetheless, in spite of the above, the analysis also shows worrying trends regarding bias in the algorithms, 34.7% of AI systems in the analysis demonstrated statistically significant discrimination based on certain demographic group. The paper establishes that there are five moral aspects of concern, namely, data privacy breaches, insufficient levels of algorithmic transparency, lack of digital accessibility, lack of teacher control, and socioeconomic inequalities in access to AI.