Towards Ethics in the Age of Artificial Intelligence: A Study of STEM Students' Perceptions of AI Ethics in Nigerian Universities

Abstract Artificial Intelligence (AI) is fast transforming societies across the world and poses serious ethical issues concerning biases, privacy, accountability and job losses in the future. Although international bodies like the UNESCO Ethics of Artificial Intelligence Recommendation, the European Union Trustworthy AI Guidelines, and the U.S. AI Bill of Rights have paid particular attention to the idea of fairness, transparency, and human control, little is understood about how students in developing countries view the topics. This paper examines the awareness and perceptions of AI ethics among STEM students in Nigerian higher education institutions, where there is an increasing use of AI, but little AI ethics education. The study was based on the use of a cross-sectional survey of 300 students in three universities with a combination of quantitative measures of awareness and attitudes and related to qualitative thematic insights. Results show that there is moderate knowledge of AI ethics concepts: data privacy (80%) and job displacement (70%) were well known, yet fewer students were familiar with algorithmic bias (60%), transparency (45%), or human oversight (50%). Seven common themes in the qualitative responses were identified: privacy and surveillance, bias, job loss, misinformation, accountability, autonomy, and academic integrity. The cautious optimism of students was, however, accompanied by a significant lack of confidence in the reliability of AI in the future (77%), as well as the paramount support of regulation (88%) and ethics-by-design approaches (85%). Interestingly, 80% of the respondents complained that their curricula had failed to equip them with knowledge about the ethical issues surrounding AI, with informal information sources coming to the rescue. The study recommends that the implementation of AI ethics in STEM education, the alignment of curricula to international standards, and the contextualization of AI ethics with African philosophies are the three necessary steps to ensure that Nigeria produces not only consumers of AI, but ethically-enlightened innovators.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-12-31
DOI
https://doi.org/10.5281/zenodo.19064642
Primary Topic
Ethics and Social Impacts of AI
Type
article
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article

Towards Ethics in the Age of Artificial Intelligence: A Study of STEM Students' Perceptions of AI Ethics in Nigerian Universities

T. Henry Asogwa, Francisca Tochukwu Udu, Hillary Sunday Nnadi, Hope Nonyelum Ossai et al.
Zenodo (CERN European Organization for Nuclear Research)
Ethics and Social Impacts of AI
article

Towards Ethics in the Age of Artificial Intelligence: A Study of STEM Students' Perceptions of AI Ethics in Nigerian Universities

T. Henry Asogwa, Francisca Tochukwu Udu, Hillary Sunday Nnadi, Hope Nonyelum Ossai, Priscilla Okwuchukwu Dave-Ugwu
article en

Abstract

Abstract Artificial Intelligence (AI) is fast transforming societies across the world and poses serious ethical issues concerning biases, privacy, accountability and job losses in the future. Although international bodies like the UNESCO Ethics of Artificial Intelligence Recommendation, the European Union Trustworthy AI Guidelines, and the U.S. AI Bill of Rights have paid particular attention to the idea of fairness, transparency, and human control, little is understood about how students in developing countries view the topics. This paper examines the awareness and perceptions of AI ethics among STEM students in Nigerian higher education institutions, where there is an increasing use of AI, but little AI ethics education. The study was based on the use of a cross-sectional survey of 300 students in three universities with a combination of quantitative measures of awareness and attitudes and related to qualitative thematic insights. Results show that there is moderate knowledge of AI ethics concepts: data privacy (80%) and job displacement (70%) were well known, yet fewer students were familiar with algorithmic bias (60%), transparency (45%), or human oversight (50%). Seven common themes in the qualitative responses were identified: privacy and surveillance, bias, job loss, misinformation, accountability, autonomy, and academic integrity. The cautious optimism of students was, however, accompanied by a significant lack of confidence in the reliability of AI in the future (77%), as well as the paramount support of regulation (88%) and ethics-by-design approaches (85%). Interestingly, 80% of the respondents complained that their curricula had failed to equip them with knowledge about the ethical issues surrounding AI, with informal information sources coming to the rescue. The study recommends that the implementation of AI ethics in STEM education, the alignment of curricula to international standards, and the contextualization of AI ethics with African philosophies are the three necessary steps to ensure that Nigeria produces not only consumers of AI, but ethically-enlightened innovators.

Zenodo (CERN European Organization for Nuclear Research)
University of Nigeria (NG), Education and Early Childhood Development (CA)
Openalex Percentile: Top 15%
Ethics and Social Impacts of AI
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