Journal of Deep Learning, Computer Vision and Digital Image Processing
Volume 4 Issue 2 June 2026

A Conceptual Framework for Digital-Ethical Literacy and Social Responsibility in Islamic Religious Education in the Generative AI Era

Ridha Aulia (Independent Researcher)
Siti Suryanih (Universitas Islam Depok)
Aproni (Stai Bina Muwahhidin)
Syahrul Arya Fatahuddin (UIN Syekh Wasil Kediri)
Jupri (UIN Syekh Wasil Kediri)



Article Info

Publish Date
03 Jul 2026

Abstract

Purpose – This study develops a conceptual framework of digital-ethical literacy and social responsibility for responsible Generative Artificial Intelligence (GenAI) use in Islamic Religious Education by integrating AI literacy, digital pedagogy, Islamic ethics, and digital citizenship.Methods – A conceptual literature review was conducted using a purposive corpus of 110 sources selected for thematic relevance, conceptual contribution, and argumentative strength. The literature was analyzed through thematic-conceptual synthesis to identify recurring constructs and relationships.Findings – The synthesis produced four progressive operational components: AI awareness, critical verification, ethical academic use, and socially responsible digital participation. Islamic moral orientation functions as a cross-cutting normative dimension guiding all components through amanah, tabayyun, adab, ‘adl, responsibility, and maslahah. The framework is progressive but non-rigid and context-sensitive, emphasizing educator guidance, authoritative sources, prior learner knowledge, institutional policy, and topic sensitivity. Research implications – The framework provides a basis for curriculum design, educator guidance, assessment development, institutional policy, and future empirical validation.Originality – The study offers an integrated mechanism linking technological understanding, epistemic verification, academic integrity, Islamic moral judgment, and digital social responsibility in one context-sensitive model.

Copyrights © 2026






Journal Info

Abbrev

DECODING

Publisher

Subject

Computer Science & IT

Description

The Journal of Deep Learning, Computer Vision and Digital Image Processing (DECODING), covers all topics of artificial intelligence and soft computing and their applications, including but not limited to: • Neural networks • Reasoning and evolution • Intelligent search • Intelligent planning ...