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Technoethics and the Use of Artificial Intelligence in Educational Contexts: Reflections on Integrity, Transparency, and Equity
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Author(s): Sonia Martínez-Requejo (Universidad Europea de Madrid, Spain), Sara Redondo-Duarte (Universidad Complutense de Madrid, Spain), Eva Jiménez-García (Universidad Europea de Madrid, Spain)and Judit Ruiz-Lázaro (Universidad Nacional de Educación a Distancia, Spain)
Copyright: 2025
Pages: 24
Source title:
Pitfalls of AI Integration in Education: Skill Obsolescence, Misuse, and Bias
Source Author(s)/Editor(s): Manuel B. Garcia (FEU Institute of Technology, Philippines), Joanna Rosak-Szyrocka (Częstochowa University of Technology, Poland)and Aras Bozkurt (Anadolu University, Turkey)
DOI: 10.4018/979-8-3373-0122-8.ch010
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Abstract
As emerging technologies, such as artificial intelligence (AI), become increasingly integrated into academic contexts, new challenges and ethical risks related to potential misuse also emerge. This chapter examines these issues from an academic perspective by analyzing how each affects both education and research. Particular attention is given to concerns such as algorithmic bias, data privacy, authorship attribution, and the erosion of critical thinking in AI-assisted learning environments. The chapter also explores the implications of unequal access to AI tools, which may exacerbate existing educational disparities. Reflection on these issues is essential for fostering an academic culture based on integrity, transparency, and respect for diversity, which are fundamental to creating a fairer and more equitable educational environment. Ultimately, the chapter urges institutions to establish clear technoethical guidelines, promote digital literacy, and engage stakeholders in open dialogue to ensure responsible and inclusive AI integration in education.
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