ETHICAL DILEMMAS AND PSYCHOLOGICAL IMPACTS OF AI INTEGRATION IN SPECIAL NEEDS EDUCATION

Arsovski, Denis and Kevereski, Ljupco (2024) ETHICAL DILEMMAS AND PSYCHOLOGICAL IMPACTS OF AI INTEGRATION IN SPECIAL NEEDS EDUCATION. In: 1st International Scientific Conference „Education and Artificial Intelligence (EDAI 2024), 29.11.2024 - 30.11.2024, Vranje, Republic of Serbia. (In Press)

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Abstract

This systematic review investigates the ethical and psychological implications of integrating artificial intelligence into special needs education. AI technologies, such as adaptive learning systems, speech recognition and chatbots hold promise for improving individualized support
and inclusivity for students with special needs. However, these technologies also create ethical challenges, including privacy risks due to data collection, algorithmic bias that may strengthen stereotypes and psychological concerns related to student autonomy and social development. Following PRISMA guidelines, 28 studies were selected based on criteria focusing on AI’s role in special education, ethical implications and psychological impacts. Findings reveal that, while AI tools can improve accessibility and personalized learning, they require careful implementation to avoid negative consequences on students' social skills and self-esteem. The review underscores the need for responsible AI frameworks that prioritize privacy, transparency and fairness, recommending balanced approach that includes human errors.
Further research is recommended to explore long-term effects and develop guidelines that safeguard student well-being in AI-assisted educational environments.

Item Type:	Conference or Workshop Item (Paper)
Subjects:	Scientific Fields (Frascati) > Social Sciences > Educational sciences Scientific Fields (Frascati) > Medical and Health Sciences > Health sciences Scientific Fields (Frascati) > Social Sciences > Psychology Scientific Fields (Frascati) > Social Sciences > Other social sciences
Divisions:	Higher Medical School
Depositing User:	MSc Denis Arsovski
Date Deposited:	16 Dec 2024 12:18
Last Modified:	16 Dec 2024 12:18
URI:	https://eprints.uklo.edu.mk/id/eprint/10527

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