Akademik Veri Yönetim Sistemi
Pitfalls of AI Integration in Education: Skill Obsolescence, Misuse, and Bias, BOZKURT ARAS, Editör, IGI Global yayınevi, New York, ss.271-292, 2025
In recent years, artificial intelligence (AI) has emerged as one of the most potent tools to promote digital transformation in education. The effective use of AI in education requires robust policy frameworks and ethical oversight mechanisms. Providing an overview of the transformative role of AI in education, this chapter discusses the prominent requirements for the ethical use of technology that supports inclusive and equitable education in education systems and offers policy recommendations that will maximize the potential of AI in creating equitable, fair, and inclusive educational environments. Special emphasis is placed on the role of interdisciplinary collaboration among stakeholders to ensure that AI systems are aligned with human-centered values and educational goals. The chapter aims to draw attention to the data-driven framework addressing the most debated issues of bias, data privacy, inclusion, risks, fair and equitable approach in education to establish an inclusive AI ecosystem in light of global standards, international policies, and evidence-based practices.