Dataset of Factors Influencing AI Ethics Awareness and Attitudes Toward Artificial Intelligence April - June 2026

This dataset contains responses from 350 individuals collected between April and June 2026 and is intended to support research on factors influencing AI Ethics Awareness and Attitudes Toward Artificial Intelligence. As a screening criterion, all respondents had prior experience using Artificial Intelligence (AI) technologies, ensuring that the data reflect perceptions and evaluations from individuals familiar with AI applications. The demographic profile of the sample indicates a predominance of young adults. Respondents aged 17–25 years represented the largest group (49.7%, n = 174), followed by those aged 26–30 years (38.0%, n = 133). Respondents under 17 years old accounted for 4.9% (n = 17), while those aged 31–45 years and above 46 years represented 5.4% (n = 19) and 2.0% (n = 7) of the sample, respectively. In terms of gender distribution, female respondents constituted 55.4% (n = 194) of the sample, whereas male respondents accounted for 44.6% (n = 156). The dataset includes demographic characteristics and measurements related to digital literacy, user experience, AI knowledge, AI Ethics Awareness, and attitudes toward AI. By capturing both technological familiarity and ethical perceptions, this dataset provides a valuable resource for researchers, educators, policymakers, and practitioners seeking to investigate the determinants of ethical awareness and public attitudes toward Artificial Intelligence in an era of rapidly expanding AI adoption.