Institutional Capacity and Policy Gaps in Ethical Artificial Intelligence Adoption in Faculties of Education in Nigerian Universities

Abstract

This study investigates institutional capacity and policy gaps in the ethical adoption of Artificial Intelligence (AI) within Nigerian university Faculties of Education. A quantitative research design using a descriptive survey approach was employed, targeting academic and administrative staff across five universities in Bayelsa State but out of it, only three has faulty of Education: The study focused on governance structures, infrastructure adequacy, and human resource capacity as key factors influencing ethical AI adoption. Data were collected using a researcher-developed questionnaire, the Ethical AI Capacity and Policy Gaps Survey (EAICPGS), alongside focus group discussions and document analysis. Descriptive statistics and Pearson Product-Moment Correlation were applied to analyze the data, testing the null hypothesis that no significant relationship exists between institutional capacity and ethical AI adoption. Findings indicate significant gaps in governance, infrastructure, and human resources, which hinder the ethical integration of AI technologies. The study contributes valuable insights into the institutional challenges faced by Nigerian universities in adopting AI responsibly, offering recommendations for improving policy frameworks, infrastructure, and faculty preparedness. The findings underscore the need for comprehensive reforms to enhance the ethical implementation of AI in higher education. This research contributes to the growing discourse on AI governance in higher education, with specific implications for policy and practice in the Nigerian context.

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