Ethical Considerations in Using Artificial Intelligence to Improve Teaching and Learning

Abstract

One way that AI could improve the educational experience is by making it more individualized and efficient. However, there are a number of ethical concerns that have to be addressed as a result of this accomplishment. This study discusses some of the major ethical challenges posed by AI in the classroom, as well as some potential answers to those problems. The use of AI in the classroom raises serious questions about data privacy and security. Massive volumes of student data are collected and analyzed by AI systems, necessitating robust security measures. Clear communication and informed permission regarding data handling are crucial in solving these privacy issues. Another ethical problem with AI is the potential for discrimination and prejudice. As a result of inherent biases in their training data, AI systems may unfairly disadvantage specific demographics of students. Concerns about bias and unfairness in AI-powered learning technologies persist. Decisions made by AI must be explicable and open to scrutiny. Understanding how AI systems create recommendations and assessments is important for students, teachers, and leaders. Both trust and responsibility in the classroom benefit from more openness. The ethical implications of AI for educators and the field as a whole also need to be considered. Technology should complement teachers rather than replace them. The usage of AI and the training of educators are essential to this shift. The goal of this study is to study the impact of ethical issues factors by using AI in T&L & to identify the impact of AI Factors on T&L (Teaching & Learning)..