A4 Refereed article in a conference publication

Teaching in the Age of AI: Understanding University Teachers’ Ethical Concerns and Perspectives;




AuthorsKaila, Erkki; Lempinen, Katja; Nevaranta, Matias

EditorsKemell, Kai-Kristian; Vakkuri, Ville; Vartiainen, Tero; Mäkipää, Juho-Pekka

Conference nameConference on Technology Ethics

Publication year2026

Journal: CEUR Workshop Proceedings

Book title Tethics 2025 : Proceedings of the Conference on Technology Ethics 2025

Volume4237

First page 42

Last page52

eISSN1613-0073

Publication's open availability at the time of reportingOpen Access

Publication channel's open availability Open Access publication channel

Web address https://ceur-ws.org/Vol-4237/paper4.pdf

Self-archived copy’s web addresshttps://research.utu.fi/converis/portal/detail/Publication/508654237

Self-archived copy's licenceCC BY

Self-archived copy's versionPublisher`s PDF


Abstract

Generative AI and large language models have already changed many areas of society, and education is not an exception. In this paper, we present a study where 302 higher education teachers were surveyed about their experiences, attitudes, and ethical perceptions towards AI in education. The first instance of the survey (N=177) was conducted in late spring 2024, and the second one (N=125) less than a year later, with a focus on technical universities. According to the results, the teachers in general do not really use AI tools in everyday education, although there are a few exceptions who use them quite a lot. The main reason for not using AI may be a lack of proper training, as it seems that the universities either do not offer such training or teachers do not participate in it. Regardless, teachers find teaching AI to students very important, but also seem to agree that the use of AI tools has increased cheating. Moreover, the teachers find the ethical aspects and data security very important when AI is used. In the paper, we provide a detailed look at the results, with focus on ethical aspects, and offer recommendations based on the analysis.


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Last updated on 11/08/2026 07:26:51 AM