Author: Anandita Dam
DOI Link: https://doi.org/10.70798/Bijmrd/04031017
Abstract: In the present world, Artificial Intelligence (AI) is significantly transforming education-based studies to culture-related fields and language spheres. It maps AI into seven different taxonomies, starting from Narrow to Self-Aware, offering an exhaustive categorization of how far or close we can get with a particular model. In education, the paper considers how AI can allow personalized learning adventures and adaptive practice as well as intelligent tutoring structures to improve upon traditional drives in schooling. AI is studied on such cultural aspects as heritage protection, digitization, and creative use, while demographic issues related to cultural globalization in the context of globalizing cultures are raised. On the language and linguistic front, it talks about how AI is impacting automated translation of languages being learned but also those that are disappearing. The publication moreover discusses the hurdles and obstacles in both areas— ethical constraints, data privacy interests, along with a call for equilibrium—as well. The paper also considers the shortcomings and challenges in every direction, e.g., ethical aspects, data privacy issues, or balanced realization of these ideas. This overarching analysis describes how AI is transforming these core segments of humanity and brings to light the necessity for responsible integration, which then can preserve our development that is both inclusive and sustainable.
Keywords: Artificial Intelligence, Education Technology, Cultural Heritage Preservation, Language Processing, Cultural Digitization.
Page No: 91-98