Descriptive Statistics and Exploratory Orientation Profile Analysis of Student Perceptions of Artificial Intelligence Ethics and Governance
Year: 2026
Type: dataset
Abstract: This dataset contains the descriptive statistical analyses and exploratory orientation profile analyses derived from a cross-sectional survey of 69 university students examining perceptions of artificial intelligence (AI), AI ethics, autonomy, trust, transparency, fairness, governance, societal impacts, and AI ethics education. The dataset summarizes response distributions for all closed-ended survey items and presents exploratory analyses, including correlation analyses of AI ethics learning sources, descriptive subgroup profiles, and comparative orientation profiles related to trust in AI, transparency, regulation, privacy, and decision-making. Profile analyses compare students with differing perspectives on AI objectivity, human oversight, data collection, and high-stakes AI decision-making to contextualize qualitative findings. The analyses were conducted for exploratory and descriptive purposes only and are not intended for hypothesis testing or statistical generalization. The dataset serves as supplementary material supporting the interpretation of the qualitative findings reported in the associated study on students' AI literacy and ethical coexistence with artificial intelligence (NECoAI).
Author: Tas, Eylem
Institution: Universität Hamburg
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: green
OpenAlex ID: W7166555027