The Influence of Artificial Intelligence on Human Decision-Making, Productivity, and Safety in the Field of Education at Pangasinan State University

Abstract

The integration of Artificial Intelligence (AI) in higher education has increasingly influenced academic and administrative practices, reshaping how decisions are made, tasks are performed, and institutional risks are managed. This study examined the perceived influence of AI on human decision-making, productivity, and safety within a public higher education institution in the Philippines. A quantitative descriptive research design was employed, using a structured survey questionnaire administered to 300 university personnel with direct exposure to AI-enabled academic and administrative tools. Descriptive statistical techniques, including mean and standard deviation, were used to analyze respondents’ perceptions across the three domains. The findings indicate that AI is perceived to have a strong positive influence on productivity (composite mean = 4.29), particularly in automating routine tasks, improving efficiency, and supporting workload management. AI was also viewed as a valuable decision-support tool (composite mean = 4.17), enhancing access to information and enabling data-informed academic and administrative decisions. In contrast, perceptions related to AI safety and governance were comparatively moderate (composite mean = 3.95), reflecting cautious confidence in institutional safeguards, data privacy measures, and ethical oversight mechanisms. Overall, the results suggest an uneven trajectory of AI adoption in higher education, where functional benefits related to productivity and decision support advance more rapidly than governance and safety readiness. The study highlights the importance of balanced AI integration strategies that align technological innovation with ethical governance, policy development, and capacity-building initiatives. By providing empirical evidence from a public university in a developing-country context, this study contributes to ongoing discussions on responsible AI adoption in higher education and offers insights for institutional leaders and policymakers seeking to harness AI while safeguarding human judgment and institutional accountability.

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