Year: 2026
Type: article
Abstract: Artificial intelligence (AI) is a field of study that combines the applications of machine learning, algorithm productions, and natural language processing. Applications of AI transform the tools of education. AI has a variety of educational applications, such as personalized learning platforms to promote students’ learning, automated assessment systems to aid teachers, and facial recognition systems to generate insights about learners’ behaviours. Despite the potential benefits of AI to support students’ learning experiences and teachers’ practices, the ethical and societal drawbacks of these systems are rarely fully considered in K-12 educational contexts. The rapid integration of Artificial Intelligence (AI) into educational systems has transformed teaching, learning, and administrative processes. While AI offers significant opportunities to enhance personalization, accessibility, and efficiency, it also raises ethical, social, and pedagogical concerns. This paper (1) explores the concept of responsible AI adoption in education; (2) briefly defines AI through the concepts of machine learning and algorithms; (3) emphasizing fairness, transparency, accountability, data privacy, and inclusivity; and (4) describes ethical challenges and dilemmas of using AI in education [1]. By examining current applications, challenges, and governance frameworks, the study proposes strategic recommendations for designing an ethical and sustainable AI-driven educational future. Keywords: Responsible AI, Education Technology, Ethics, Artificial Intelligence, Digital Learning
Author: Sharma, Sheenu
Institution: Indian Institute of Technology Madras
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: diamond
OpenAlex ID: W7220303999