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Research theme
Institutional Policy
The Institutional Policy theme comprises 595 papers in this corpus published between 2006 and 2026. Work here is dominated by Literature Review, Conceptual, Qualitative. 5 open research gaps have been surfaced in this area.
Methodology profile
- Literature Review99 (17%)
- Conceptual80 (13%)
- Qualitative66 (11%)
- Case Study61 (10%)
- Mixed Methods53 (9%)
- Policy Analysis53 (9%)
Research domains
- AI Governance571 (96%)
- Scholarly Infrastructure19 (3%)
- Research Integrity3 (1%)
- Peer Review2 (0%)
Frequent sub-topics
AI adoption in higher education institutions · 2organizational conditions for scaling AI adoption and overcoming pilot trap · 1educational technology governance and responsible AI implementation in learning environments · 1organizational discourse and generative AI adoption · 1multi-layer governance of generative AI-enabled platforms · 1adoption attitudes toward generative AI by experience level · 1Chief AI Officer role and organizational structure · 1AI curriculum alignment between academia and industry in Taiwan · 1
Open research gaps
- The authors identify a critical gap: "no papers substantively addressed mission assurance: the process of ensuring that systems using AI continue to perform mission-essential functions under adverse c
- The authors identify several gaps and future directions: the need for harmonized and forward-looking regulatory frameworks addressing data privacy, algorithm transparency, accountability, and inequali
- The paper identifies the need for a replicable framework for governance gap analysis and highlights the importance of understanding how procurement governance and capability bundling can address gover
- The paper identifies that AI integration in higher education faces unresolved challenges related to trust, equity, and faculty adoption, suggesting these as areas requiring further investigation and f
- Need for development of comprehensive institutional and national policy frameworks for AI use; requirement for lecturer capacity-building programmes; necessity for strategic investment in digital infr
Representative papers
- GAIDeT (Generative AI Delegation Taxonomy): A taxonomy for humans to delegate tasks to generative artificial intelligence in scientific research and publishingYana Suchikova · 2025 · 24 citations
- Generative AI and the future of higher education: a threat to academic integrity or reformation? Evidence from multicultural perspectivesAbdullahi Yusuf · 2024 · 399 citations
- Publishers’ and journals’ instructions to authors on use of generative artificial intelligence in academic and scientific publishing: bibliometric analysisConner Ganjavi · 2024 · 199 citations
- Can ChatGPT be an author? A study of artificial intelligence authorship policies in top academic journalsBrady Lund · 2023 · 80 citations
- Friend or foe? Exploring the implications of large language models on the science systemBenedikt Fecher · 2023 · 66 citations
- Waiting for the revolution: how higher education institutions initially responded to ChatGPTLene Korseberg · 2024 · 39 citations
- Evaluating the prospects for university-based ethical governance in artificial intelligence and data-driven innovationChristine Hine · 2021 · 34 citations
- AI research ethics is in its infancy: the EU’s AI Act can make it a grown-upAnaïs Rességuier · 2023 · 14 citations