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Research theme
Institutional Policy
The Institutional Policy theme comprises 617 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 Review102 (17%)
- Conceptual92 (15%)
- Qualitative66 (11%)
- Case Study64 (10%)
- Policy Analysis56 (9%)
- Mixed Methods53 (9%)
Research domains
- AI Governance593 (96%)
- Scholarly Infrastructure19 (3%)
- Research Integrity3 (0%)
- 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: "there is no empirical understanding of how senior leaders actually navigate the organizational, regulatory, and technical complexities of scaling autonomous AI sy
- 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 a gap in understanding how international economic law frameworks address and are reshaped by artificial intelligence development and deployment, positioning this intersection as a
- Comparative studies across colleges, disciplines, or institutional types to examine whether similar governance regimes appear in STEM, humanities, professional schools, or community colleges
- Instructor interviews to clarify how faculty design AI policies and understand authorship, assessment, and student responsibility
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