A4 Refereed article in a conference publication
Teaching in the Age of AI: Understanding University Teachers’ Ethical Concerns and Perspectives; 
Authors: Kaila, Erkki; Lempinen, Katja; Nevaranta, Matias
Editors: Kemell, Kai-Kristian; Vakkuri, Ville; Vartiainen, Tero; Mäkipää, Juho-Pekka
Conference name: Conference on Technology Ethics
Publication year: 2026
Journal: CEUR Workshop Proceedings
Book title : Tethics 2025 : Proceedings of the Conference on Technology Ethics 2025
Volume: 4237
First page : 42
Last page: 52
eISSN: 1613-0073
Publication's open availability at the time of reporting: Open 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 address: https://research.utu.fi/converis/portal/detail/Publication/508654237
Self-archived copy's licence: CC BY
Self-archived copy's version: Publisher`s PDF
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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