International Journal on Science and Technology

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Responsible AI for Multimodal Biometric Authentication in Educational Systems: Ethical, Civic, and Cultural Perspectives

Author(s) Mr. SURINDER CHAUHAN, Dr. Sher Jung
Country India
Abstract Abstract
The integration of Artificial Intelligence (AI) in educational systems has accelerated the adoption of biometric technologies for authentication, attendance management, and examination security. Among these, AI-driven multimodal biometric systems, which combine facial, fingerprint, and voice recognition, offer improved accuracy and reliability compared to unimodal approaches.
This study proposes a Responsible AI-based multimodal biometric framework tailored for educational environments, integrating technical performance with ethical, civic, and cultural considerations. A mixed-method approach is adopted, combining deep learning–based biometric classification using convolutional neural networks (CNNs) with stakeholder perception analysis through surveys and interviews.
Experimental results demonstrate that the proposed system achieves an accuracy of 96.8%, significantly outperforming unimodal systems while reducing False Acceptance Rate (1.5%) and False Rejection Rate (1.7%). Survey findings indicate that the acceptance of biometric technologies depends on transparency, informed consent, data protection, and cultural sensitivity.
The study highlights that while multimodal biometric systems enhance authentication performance, their successful adoption in education requires responsible governance and ethical implementation. A comprehensive Responsible AI framework aligned with India’s National Education Policy (NEP 2020) and UNESCO AI Ethics guidelines is proposed to support transparent, fair, and accountable deployment.
The findings contribute to the development of secure, ethical, and socially acceptable AI-driven biometric systems in educational institutions.
Keywords Index Terms: Artificial Intelligence, Multimodal Biometrics, Responsible AI, Educational Technology, AI Ethics, Biometric Authentication.
Field Computer Applications
Published In Volume 17, Issue 1, January-March 2026
Published On 2026-03-26
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