Role of Generative AI in Shaping Education and Digital Inclusion of Today’s Youth

Dr. Prajakta Ameya Joshi, Coordinator, B.Sc.(IT)

Email: prajakta.joshi@lsraheja.org

Anam Mantasha Imtiyaz Khan , Rupali Deshraj Nirmal, Students of BSCIT

Email:anamk182006@gmail.com , nirmalrupali619@gmail.com

SES’s L.S.RAHEJA COLLEGE OF ARTS AND COMMERCE(Aoutonomous)

Abstract : Generative AI is moving into classrooms faster than many institutions can keep up. It promises more individualized lessons, quicker ways to study, and a broader range of learning materials neat, useful stuff. Concerns range from digital exclusion and biased algorithms to privacy risks and the murky ethics of systems generated work. This study examines how generative AI is changing undergraduate education and digital inclusion, zeroing in on accessibility, learning outcomes, digital literacy, and responsible use. Researchers used a descriptive, analytical approach that blended primary and secondary evidence. For primary data, a twelve item, close ended questionnaire was distributed to undergraduates via Google Forms. For Secondary sources, peer reviewed studies, policy reports, and reputable online analyses helped place student responses within wider trends around AI adoption, digital inequality, and governance in education. Team also reviewed the ethical problems like algorithmic bias, data privacy fears, and unclear regulations undermine trust and blunt classroom use. Put simply: without targeted support, rolling these tools out risks cementing existing divides rather than closing them; it’s like giving some students a sophisticated toolkit while others still struggle to find a working flashlight. We close with practical steps for equitable adoption: policy measures to steer responsible use, targeted infrastructure investment, digital skills programs, clearer ethical guidelines and governance (and yes, staff training too). With coordinated action from universities, policymakers, and local communities, generative AI can widen educational opportunity instead of becoming another source of exclusion.

Keywords: Generative Artificial Intelligence, Education, Digital Inclusion, Youth, Digital Marginalization, Ethical AI