RESPONSIBLE AI ADOPTION IN HIGHER EDUCATION:

Abstract

Through uses in instruction, learning, assessment, administration, and institutional decision-making, artificial intelligence (AI) is revolutionizing higher education. AI presents great possibilities for personalization, efficiency, and innovation. But its use also sparks issues about openness, trust, governance, academic integrity, accountability, and organizational readiness. Most research concentrates on technical execution or pedagogical ramifications; little focus is paid to the organizational and management aspects of responsible artificial intelligence acceptance.

This article presents a conceptual management framework for ethical artificial intelligence use in colleges and universities. Drawing from theories of organizational transformation, technology acceptance points of view, institutional governance data, and ethical innovation concepts, the framework pinpoints the key organizational elements influencing effective artificial intelligence integration. More precisely, the study contends that AI governance frameworks, moral standards, leadership dedication, stakeholder involvement, and institutional AI knowledge taken together determine how much a company trusts AI systems. Institutional trust mediates the relationship between these organizational conditions and responsible AI adoption, which in turn contributes to organizational transformation.

The recommended model views are responsible for artificial intelligence use as a strategic organizational competence rather than mostly a technical endeavor. It stresses how universities could balance responsibility with invention while still ensuring compliance with society's expectations and educational standards. The study supports management scholarships by using responsible innovation theory in the context of higher education and offering leaders a working governance framework for institutions. The framework could enable colleges, legislators, and educational administrators to develop sustainable AI adoption strategies that enhance organizational performance while maintaining ethical standards, stakeholder trust, and educational quality in the age of artificial intelligence.