https://hmjournals.com/ijaap/index.php/JAIMLNN/issue/feed 2026-01-22T07:43:52+00:00 Editor in Chief editor.jaimlnn@gmail.com Open Journal Systems <p>The <strong>Journal of Artificial Intelligence, Machine Learning and Neural Network (JAIMLNN) having ISSN: 2799-1172</strong> is a double-blind, peer-reviewed, open access journal that provides publication of articles in all areas of Artificial Intelligence, Machine Learning and Neural Network and related disciplines. The objective of this journal is to provide a veritable platform for scientists and researchers all over the world to promote, share, and discuss a variety of innovative ideas and developments in all aspects of <strong>Artificial Intelligence, Machine Learning and Neural Network.</strong></p> https://hmjournals.com/ijaap/index.php/JAIMLNN/article/view/6026 2026-01-22T07:43:52+00:00 Subhodeep Mukhopadhyay sm19184@campus.globalnxt.edu.my

<p>As India seeks to become a global leader in Artificial Intelligence (AI), its national AI policy plays a crucial role in promoting AI literacy. However, a gap exists in the literature regarding analyses of AI policy through the lens of established AI literacy models. This study qualitatively evaluates India's national AI policy document, India AI 2023: Expert Group Report – First Edition, using a four-aspect AI literacy framework. A thematic analysis examines how the policy addresses the dimensions of understanding, application, evaluation, and ethics. Results show that the policy is in line with the four aspects of the theoretical model. The study also identifies three additional sociocultural themes, inclusion, equity, and AI for social good. Gaps that could potentially hinder the policy's ability to fully promote inclusive AI literacy, and solutions, are also discussed. The study highlights the strengths and action ability of India’s national AI policy, and it's relevance to fostering AI literacy in India.</p>

2026-01-07T00:00:00+00:00 Copyright (c) 2026 Subhodeep Mukhopadhyay