دوره 7، شماره 3 - ( 6-1405 )                   جلد 7 شماره 3 صفحات 153-147 | برگشت به فهرست نسخه ها


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Safaei A, Safaei M. (2026). Beyond Advisory Governance: A Three-Layer Model for Agentic AI in Universities. johepal. 7(3), 147-153. doi:10.66224/johepal.7.3.147
URL: http://johepal.com/article-1-1953-fa.html
(1405). Beyond Advisory Governance: A Three-Layer Model for Agentic AI in Universities نشریه سیاست و رهبری آموزش عالی 7 (3) :153-147 10.66224/johepal.7.3.147

URL: http://johepal.com/article-1-1953-fa.html


چکیده:   (10 مشاهده)
  • This paper proposes the Three-Layer University Agentic AI Governance Model (TUAIGM), a proposed governance model for universities that are beginning to consider agentic AI in areas where decisions directly affect students.
  • The paper argues that agentic AI exposes three governance weaknesses: diffused accountability, goal misalignment, and behavioural drift. These risks are especially difficult in universities because authority is already distributed across board, administrative, and faculty structures.
  • The TUAIGM assigns oversight responsibilities to three institutional layers and connects them through escalation, authorisation, reporting, and vendor-accountability flows.
  • The framework has not been empirically tested. It is a proposed governance model that tries to make responsibility, monitoring, and intervention more explicit before agentic systems become embedded in university operations.
  • The main contribution is applying principal-agent theory to the multi-principal university setting, where board, administration, and faculty share authority but do not always share the same priorities.
     
نوع مطالعه: پژوهشي | موضوع مقاله: تخصصي
دریافت: 1405/3/18 | پذیرش: 1405/6/25 | انتشار: 1405/7/8

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