International Scientific Journal of Engineering and Management

An International Scholarly || Multidisciplinary || Open Access || Indexing in all major Database & Metadata
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ISSN: 2583-6129

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Human-AI Collaboration in Higher Education Administration: Redefining Workforce Roles for Institutional Innovation

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Published 28 July 2026
Updated 28 July 2026

Human-AI Collaboration in Higher Education Administration: Redefining Workforce Roles for Institutional Innovation

 

 

Hamsa K, Dr. Shreevamshi Naveen
Dayananda Sagar college of Engineering- Dept of Management Studies Dayananda Sagar college of Engineering- Dept of Management Studies

 

 

Abstract - Artificial intelligence (AI) is increasingly influencing how universities manage people, information, resources, and institutional decisions. While research on AI in higher education has largely focused on teaching and learning, less attention has been given to the changing relationship between AI systems and administrative workforces. This paper examines how Human-AI collaboration is reshaping higher education administration across human resource management, admissions, finance, procurement, student services, research administration, and strategic planning. The study develops a conceptual framework that includes technological capability, human expertise, organizational readiness and responsible governance. The framework is based on socio-technical systems theory, human-AI complementarity theory, dynamic capabilities theory and the Technology Acceptance Model. This shows that AI is more interpretable as a means to augment administrative capabilities rather than as a direct substitute for human skills. But it’s not only about technology investment to get effective execution. This transformation depends on aligning employee competencies and supportive leadership with organizational trust in AI, administrative process reengineering, and sustained human accountability The study also highlights a number of challenges to AI adoption, including employee resistance, skills gaps, algorithmic bias, privacy concerns, reliance on external vendors and lack of clear accountability. Organizations that harness the analytical power of AI with human judgement and responsible governance are better placed to drive administrative innovation, enhance organizational agility and build long-term institutional resilience.

Key Words: Human–AI collaboration, higher education administration, workforce transformation, institutional innovation, responsible AI governance, digital transformation.

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