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Artificial Intelligence in Education and Academic Integrity, An Analytical Perspective on Current Developments in India

The integration of generative artificial intelligence into Indian higher education necessitates a critical re-evaluation of traditional academic integrity frameworks. This analysis explores the tension between technological advancement and ethical scholarship, proposing a balanced approach to maintaining academic standards in a digital-first environment.

Goal of work

To critically analyse how AI integration influences academic integrity and to propose a framework for ethical governance in Indian institutions.

Methodology

Qualitative desk-research involving thematic synthesis of policy documents, legislative reports, and academic literature.

Scientific novelty

Synthesises contemporary AI developments with the specific policy goals of Viksit Bharat 2047 to provide a context-specific ethical roadmap.

Academic writing sample

This shows the style and logic of the writing, not a final excerpt from the document.

Analysis

Integrity and Innovation

The tension between AI-driven personalization and academic integrity manifests as a dichotomy between efficiency and authenticity [4]. While AI enhances information literacy and resource management [3], it simultaneously challenges conventional assessment models. The analysis indicates that institutional responses in India are increasingly shifting from restrictive bans toward pedagogical integration and ethical literacy, reflecting a broader alignment with the national vision for educational transformation [2].

Method

Evidence and method: Artificial intelligence in education and academic

The research adopts a qualitative desk-based analysis of secondary literature, government policy documents, and institutional guidelines [2][3]. The analytical framework utilizes thematic coding to evaluate the alignment between emerging AI tools and established academic integrity policies [4]. Limitations include the rapid evolution of AI technologies, which necessitates a focus on policy adaptability rather than static definitions [6].

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Article

Degree:

Artificial Intelligence in Education and Academic Integrity, An Analytical Perspective on Current Developments in India

Author:

Group

First M. Last

Advisor:

Dr. First Last

City, 2026

Introduction

The rapid proliferation of artificial intelligence (AI) is fundamentally altering the pedagogical landscape of Indian higher education, offering unprecedented opportunities for personalised learning and information access [2]. As institutions strive to align with the vision of Viksit Bharat 2047, the integration of digital tools has become a central pillar of educational modernisation [2].

However, this technological shift introduces significant challenges to traditional academic integrity, as the boundaries between collaborative assistance and academic dishonesty become increasingly blurred [4]. The reliance on automated systems for research and content generation necessitates a robust re-evaluation of institutional policies to prevent the erosion of scholarly standards [6].

This article aims to critically analyse the current developments in AI within the Indian academic context, focusing on the intersection of innovation and ethical scholarship. By employing a comparative desk-research methodology, the study evaluates existing policies and identifies pathways for sustainable integration [3][4]. The findings provide a framework for stakeholders to navigate the complexities of digital transformation while upholding the core principles of academic honesty.

References

Artificial Intelligence vs. Academic Integrity: ways of collaboration for inclusive education (2023)
Oleksandr Dluhopolskyi
DOI Link
The Transformative Role of Artificial Intelligence in Education Pathways to Viksit Bharat 2047 (2025)
Shivaraj S. Shinde
DOI Link
Impact of AI and Digital Transformation in Academic Library Services (2026)
Gattagoni Ramadevi*1, Dhaval Bhatt2
DOI Link
Transforming Higher Education: Sociological Perspective of Artificial Intelligence (2025)
EFEBO, Batram
(Academic) Integrity in the Age of Artificial Intelligence (2026)
Ke Yu
Artificial Intelligence and Academic Integrity at a Crossroads (2026)
Ben Kei Daniel, Lynnaire Sheridan, Nathalie Wierdak

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