Ethical AI in Education: A Proposed Model for Responsible Integration

Artificial Intelligence (AI) is rapidly transforming the educational landscape, offering unprecedented opportunities to personalize learning, optimize administrative processes, and enhance student outcomes. However, alongside its benefits, the integration of AI into education presents significant ethical challenges that require structured and responsible approaches to ensure its effective and equitable use. This paper introduces the INTEGRITY AI Model, a structured and progressive framework designed to guide the ethical adoption of AI in educational settings. The foundation of the INTEGRITY AI Model is an initial diagnostic assessment that identified critical gaps in teachers' understanding of academic integrity, the subtle forms of misconduct facilitated by AI, and the need for continuous professional development in technological literacy. Based on these insights, the model addresses three key levels: Guiding Principles, which provide ethical guidelines and best practices to establish a shared foundation for teachers and students; Training Actions, which focus on capacity-building through specialized courses, workshops, and awareness initiatives to enhance ethical AI integration; and Impact and Empowerment, which prioritizes the dissemination of resources, the promotion of accessibility, and the creation of spaces for reflection and dialogue to foster a culture of academic integrity. This study underscores the importance of aligning the adoption of AI technologies with robust ethical frameworks, addressing both pedagogical and institutional dimensions. By incorporating actionable strategies and a scalable structure, the INTEGRITY AI Model serves as a replicable resource for educational institutions seeking to navigate the complexities of AI integration responsibly. The model's implementation highlights its relevance and effectiveness, as evidenced by the positive reception of its guides, workshops, and online resources. The results of this research affirm the value of structured ethical approaches in enhancing the responsible use of AI, promoting awareness, and equipping educators and students with tools to address ethical challenges. By fostering a reflective academic culture, the INTEGRITY AI Model maximizes the potential of AI technologies while ensuring their ethical and equitable application in education. This framework provides a path forward for institutions aiming to embrace AI's transformative potential responsibly and sustainably.

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Publication Details

Published
2025-04-22
DOI
https://doi.org/10.1109/educon62633.2025.11016451
Citations
2
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
4.73
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article

Ethical AI in Education: A Proposed Model for Responsible Integration

Héctor R. Amado-Salvatierra, Miguel Morales, Rocael Hernández-Rizzardini, Milvia Rosales
2 citations
Ethics and Social Impacts of AI
4.73
article

Ethical AI in Education: A Proposed Model for Responsible Integration

Héctor R. Amado-Salvatierra, Miguel Morales, Rocael Hernández-Rizzardini, Milvia Rosales
article en
2 citations

Abstract

Artificial Intelligence (AI) is rapidly transforming the educational landscape, offering unprecedented opportunities to personalize learning, optimize administrative processes, and enhance student outcomes. However, alongside its benefits, the integration of AI into education presents significant ethical challenges that require structured and responsible approaches to ensure its effective and equitable use. This paper introduces the INTEGRITY AI Model, a structured and progressive framework designed to guide the ethical adoption of AI in educational settings. The foundation of the INTEGRITY AI Model is an initial diagnostic assessment that identified critical gaps in teachers' understanding of academic integrity, the subtle forms of misconduct facilitated by AI, and the need for continuous professional development in technological literacy. Based on these insights, the model addresses three key levels: Guiding Principles, which provide ethical guidelines and best practices to establish a shared foundation for teachers and students; Training Actions, which focus on capacity-building through specialized courses, workshops, and awareness initiatives to enhance ethical AI integration; and Impact and Empowerment, which prioritizes the dissemination of resources, the promotion of accessibility, and the creation of spaces for reflection and dialogue to foster a culture of academic integrity. This study underscores the importance of aligning the adoption of AI technologies with robust ethical frameworks, addressing both pedagogical and institutional dimensions. By incorporating actionable strategies and a scalable structure, the INTEGRITY AI Model serves as a replicable resource for educational institutions seeking to navigate the complexities of AI integration responsibly. The model's implementation highlights its relevance and effectiveness, as evidenced by the positive reception of its guides, workshops, and online resources. The results of this research affirm the value of structured ethical approaches in enhancing the responsible use of AI, promoting awareness, and equipping educators and students with tools to address ethical challenges. By fostering a reflective academic culture, the INTEGRITY AI Model maximizes the potential of AI technologies while ensuring their ethical and equitable application in education. This framework provides a path forward for institutions aiming to embrace AI's transformative potential responsibly and sustainably.

Galileo University (GT)
Openalex Percentile: Top 6%
Ethics and Social Impacts of AI
4.73
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