Generative Artificial Intelligence (GenAI) is changing how education works, making learning more personalized and teaching more efficient. But it also brings serious questions around ethics, regulation, and educational equity. This study reviews 53 research papers published since 2020 to identify key concerns like data privacy, algorithmic bias, and unequal access, while also exploring how GenAI is being implemented responsibly in education. What makes this study stand out is its mix of data, theory, and real-world cases, which together lead to practical ideas for using GenAI more ethically and effectively in education.
