Ethics and Equity in the Age of Artificial Intelligence: Ensuring Fair Access and Responsible Use in Education

Artificial Intelligence (AI) is increasingly shaping education worldwide, offering opportunities for personalized learning, administrative efficiency, and enhanced assessment strategies (UNESCO, 2021). However, its rapid integration introduces ethical and equity challenges, including algorithmic bias, unequal access, and data privacy concerns (Holmes, Bialik, & Fadel, 2019). This paper examines ethical principles guiding AI adoption fairness, transparency, accountability, and inclusivity and explores strategies to ensure equitable access, particularly in the Global South (Zawacki-Richter, Marín, Bond, & Gouverneur, 2019). Recommendations include policy frameworks, teacher training, and community engagement to safeguard ethical standards while maximizing AI’s transformative potential in education (Luckin, Holmes, Griffiths, & Forcier, 2016).

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-10-08
DOI
https://doi.org/10.5281/zenodo.17297441
Primary Topic
TGF-β signaling in diseases
Type
article
Field-Weighted Citation Impact
0.00
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article

Ethics and Equity in the Age of Artificial Intelligence: Ensuring Fair Access and Responsible Use in Education

Zenodo (CERN European Organization for Nuclear Research)
TGF-β signaling in diseases
article

Ethics and Equity in the Age of Artificial Intelligence: Ensuring Fair Access and Responsible Use in Education

article en

Abstract

Artificial Intelligence (AI) is increasingly shaping education worldwide, offering opportunities for personalized learning, administrative efficiency, and enhanced assessment strategies (UNESCO, 2021). However, its rapid integration introduces ethical and equity challenges, including algorithmic bias, unequal access, and data privacy concerns (Holmes, Bialik, & Fadel, 2019). This paper examines ethical principles guiding AI adoption fairness, transparency, accountability, and inclusivity and explores strategies to ensure equitable access, particularly in the Global South (Zawacki-Richter, Marín, Bond, & Gouverneur, 2019). Recommendations include policy frameworks, teacher training, and community engagement to safeguard ethical standards while maximizing AI’s transformative potential in education (Luckin, Holmes, Griffiths, & Forcier, 2016).

Zenodo (CERN European Organization for Nuclear Research)
Association for the Advancement of Artificial Intelligence (US)
Quality Education
Openalex Percentile: Top 46%
TGF-β signaling in diseases
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