Sustainable AI Implementation in Higher Education: A Viewpoint on Organizational Learning for Environmental and Social Responsibility.

ABSTRACT:
This viewpoint paper investigates the ways in which higher education institutions (HEIs) may forge organizational learning
capabilities to generate an AI implementation system that meets sustainability criteria while supporting the United Nations
Sustainable Development Goals (SDGs). This viewpoint synthesizes current trends in AI adoption, organizational learning
theory, and sustainability frameworks to put forth a conceptual model for responsible AI implementation in higher education
contexts. In traditional scenarios, AI implementation in HEIs gives precedence to technological advancement and tends to
overlook other aspects of environmental and social responsibility, thereby forming a critical gap in sustainable organizational
learning practice. This paper offers the first full-fledged viewpoint connecting AI implementation with organizational learning
for sustainability in higher education, thus laying some groundwork at the underrecognized interface of technology adoption
and environmental responsibility. This viewpoint is conceptual, requiring empirical validation in a variety of institutional and
cultural settings.Framework proposed herein can be used by HEIs as practical ways of integrating sustainability issues into the
AI adoption process contraposed to building institutional learning capabilities. A sustainable AI implementation can serve to
support various SDGs, fostering the ethical use of technology and environmental care in education.

Keywords: Artificial intelligence, Sustainability, Organizational learning, Higher education, Environmental responsibility,
SDGs