Human-centred AI governance and sustainability capability development in higher education: the AIMS AI-Human Framework
TL;DR
The review identifies transparency, explainability, human oversight, accountability, proportionality, co-design, and appeal mechanisms as core governance principles in the AIMS AI-Human Framework.
Abstract
Purpose: The study aims to examine how Artificial Intelligence (AI) mechanisms, governance responses, and human and institutional outcomes are represented within the higher education literature and to explore their implications for sustainability capability development. Design/Methodology/Approach: A Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA)-guided systematic review examined 91 peer-reviewed articles published between 2020 and 2025. Findings: The review identifies transparency, explainability, human oversight, accountability, proportionality, co-design, and appeal mechanisms as core governance principles. These are integrated into the AI Mechanisms, Institutional and Human Outcomes, Moderating Governance Responses, and Sustainability Capability Development (
Aims
AI-Human Framework. Originality/Value: The study connects AI governance, human judgement, institutional responsibility, and Sustainable Development Goals (SDGs)-aligned capability development in higher education. Keywords: Artificial Intelligence; Higher Education; Governance; Human Judgement; Sustainability Capability Development; Systematic Review. Citation: Anthuvan, T., Prabhuram, S and Rathod, C. (2026): Human-centred AI governance and sustainability capability development in higher education: the
Aims
AI-Human Framework. World Journal of Entrepreneurship, Management and Sustainable Development (WJEMSD), Vol. 22, No. 5, pp. 461.