Research Information System
in: Pitfalls of AI Integration in Education: Skill Obsolescence, Misuse, and Bias, IGI Global, pp.251-274, 2025
Artificial intelligence (AI) is transforming special education by enabling personalized learning pathways and innovative assistive technologies. However, its growing use raises critical ethical concerns, including algorithmic bias, data privacy, and fairness. Biased algorithms can lead to misdiagnoses or inappropriate learning recommendations, while the collection of sensitive student data increases privacy risks. Many educators also lack the training to critically assess AI-generated outputs. Ensuring inclusive and transparent AI design is essential to providing equal opportunities and avoiding the reinforcement of educational disparities. Policymakers, developers, and educators must collaborate to establish clear, enforceable guidelines that protect student rights and promote ethical AI use. This chapter explores the expanding role of AI technologies in special education by advocating for a balanced approach that supports innovation while prioritizing ethical responsibility and inclusion.