Open AccessThe Good, The Bad and The Ugly: AI in the higher education
Author(s) -
Nino Popkhadze
Publication year - 2021
Publication title -
hallinnon tutkimus
Language(s) - English
Resource type - Journals
eISSN - 2343-4309
pISSN - 0359-6680
DOI - 10.37450/ht.107896
Subject(s) - transparency (behavior) , dilemma , guard (computer science) , higher education , virtue , learning analytics , public relations , big data , public domain , value (mathematics) , analytics , accountability , face (sociological concept) , political science , sociology , engineering ethics , data science , computer science , law , engineering , epistemology , social science , machine learning , programming language , operating system , philosophy , theology
Higher education institutions face the Janus dilemma, on the one hand, universities are asked to be more open, transparent, and easily accessible, so they can be better scrutinized by the public. On the other, they need to limit transparency and guard privacy.
The article explores how AI slowly but heavily penetrates the domain of the higher education institutions; it provides various applications of AI in the domain of higher education. This paper argues that AI, big data, and learning analytics can become a powerful tool for advancing higher education institutions further, but at the same time, AI can have a detrimental effect without a vigilant eye. The paper does not aim to minimize the value and virtue of AI, rather problematize the implications and promote conscious decision-making. The article aims to stimulate the discussion among the relevant stakeholders.