Empirical Adoption of Explainable AI and Distributed Ledger Architectures in Higher Education and Developing Public Administration
This paper examines the institutional and behavioral determinants influencing the implementation of explainable artificial intelligence (XAI) and blockchain-enabled verifiable credentials across tertiary universities and municipal agencies in developing South Asian economies. Utilizing a stratified structural equation modeling (SEM) design across 412 academic administrators and ICT officers, the empirical findings reveal that technological transparency and regulatory congruence significantly mitigate algorithmic aversion, resulting in a 41.2% higher adoption readiness. Policy frameworks for ethical AI governance in public service are formulated.
Structured Abstract
verifiedPeer-ReviewedThis paper examines the institutional and behavioral determinants influencing the implementation of explainable artificial intelligence (XAI) and blockchain-enabled verifiable credentials across tertiary universities and municipal agencies in developing South Asian economies. Utilizing a stratified structural equation modeling (SEM) design across 412 academic administrators and ICT officers, the empirical findings reveal that technological transparency and regulatory congruence significantly mitigate algorithmic aversion, resulting in a 41.2% higher adoption readiness. Policy frameworks for ethical AI governance in public service are formulated.
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