Article

Academic Integrity and Artificial Intelligence: An Ethical and Practical Framework for Responsible Use

2025-11-04

Abstract excerpt

The rapid adoption of generative artificial intelligence (AI) tools in academic environments has raised critical questions around ethics, authorship, and research integrity. This study proposes a comprehensive framework to support the ethical and responsible integration of AI technologies into academic and scientific work. Drawing on international editorial guidelines, institutional policies, and relevant legislat...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: ebae7d38-46e0-5d0d-88c4-e704b12ba85a
DOI: 10.20944/preprints202511.0199.v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Academic Integrity and Artificial Intelligence: An Ethical and Practical Framework for Responsible UseDOI 10.20944/preprints202511.0199.v1Read

Synergy, Not Substitution. Responsible Human–AI Collaboration in Academic ResearchSemantic proximity Read

The Influence of Artificial Intelligence (AI) on Academic Integrity in Higher EducationSemantic proximity Read

Academic publisher guidelines on AI usage: A ChatGPT supported thematic analysisSemantic proximity Read

From Debate to Practice: Why Research Needs Principle-Driven Frameworks for Responsible AI UseSemantic proximity Read

An AI-Human Collaborative Review of AI-Human Collaborative ReviewsSemantic proximity Read

Development of a Rapid Assessment Method for Responsible Use of Generative AI in Scientific Research: Application to the Ugandan Research ContextSemantic proximity Read

Towards Responsible AI-Assisted Scholarship: Comparative Assessment of Generative Models and Adoption RecommendationsSemantic proximity Read

Artificial Intelligence, Assessment Integrity, and Professionalism in Medical Education: Global Disruption and Lessons from the Gulf Cooperation Council RegionSemantic proximity Read

The Hidden Legal and Ethical Questions Behind Artificial IntelligenceSemantic proximity Read

Generative Artificial Intelligence and Responsible Authorship: Scientific, Ethical, and Legal ConsiderationsSemantic proximity Read

A Systematic Review of the Impact of Generative AI on Postgraduate Research: Opportunities, Challenges, and Ethical ImplicationsSemantic proximity Read

Evaluating the Accuracy and Reliability of AI Content Detectors in Academic ContextsSemantic proximity Read