The Study on Ethics and Biases in AI-Powered Education

Artificial Intelligence (AI) is transforming education by tailoring learning experiences, streamlining administrative tasks, and increasing student engagement. AI-powered platforms are developing personalised learning plans, automating grading processes and improving accessibility, making education more effective and inclusive. However, these innovations also pose ethical challenges, such as privacy concerns, the need for transparency in algorithms, and potential biases in AI systems. If left unaddressed, biases in AI-assisted education could increase inequalities, misrepresent students' abilities, and compromise the fairness of learning outcomes. This research explores the ethical implications of AI in education, identifying sources of bias and evaluating strategies to promote fairness and inclusivity. It highlights the need for ethical AI frameworks, transparency in algorithmic choices, and ongoing monitoring to reduce bias. The study also explores future opportunities in AI-driven education, including adaptive learning environments and improved accessibility tools. By balancing technological advancement with ethical considerations, AI can become a powerful catalyst for change in education while maintaining fairness, equity and accountability.