Artificial Intelligence in Teacher Education: Pedagogical Innovation, Ethical Concerns, and Qualitative Insights from Emerging Research

The integration of Artificial Intelligence (AI) in teacher education is transforming traditional paradigms of teacher preparation by introducing tools that personalize learning, support adaptive assessment, and promote reflective practice.This article explores AI's potential to elevate instructional quality through intelligent tutoring systems, immersive simulations, learning analytics, and predictive algorithms.Using a qualitative analysis of scholarly literature and case studies, it highlights opportunities and challenges posed by AI, especially regarding ethics, data privacy, and digital literacy.The article also proposes strategies for embedding AI into teacher education responsibly, emphasizing the need for educators to become critically aware of both the promises and limitations of AI in pedagogy.