Methodological Reflections on Designing Surveys to Explore Faculty and Administrator Perceptions of AI Ethics Education
Despite the rapid expansion of AI ethics education interventions across various institutions, there is a notable absence of empirical research systematically mapping or comparing these interventions. Furthermore, the extent and mechanisms of their effectiveness or ineffectiveness remain largely unexplored. To address these gaps, we aim to design and conduct the first-of-its-kind national survey on the state of AI ethics education. This survey will examine how faculty and administrators across the spectrum of American colleges and universities approach AI ethics education. This paper presents our reflections on the methodology behind designing two surveys intended to explore faculty and administrator perceptions of AI ethics education. It also briefly introduces the structures of the two surveys. We hope the findings from this paper will be of particular interest to scholars and educators focused on evaluating institutional-level ethics education in technology and engineering disciplines.
Authors
- G. Logan Miller (ORCID: https://orcid.org/0000-0002-5104-6303)
- Caitlyn Geraci
- Deborah S. Mower
- Kylee Shiekh (ORCID: https://orcid.org/0000-0003-0354-0494)
- Qin Zhu (ORCID: https://orcid.org/0000-0002-6673-1901)
Institutions
- University of Mississippi (US)
- Wellcome Centre for Ethics and Humanities (GB)
- Virginia Tech (US)
- Texas A&M University (US)
Publication Details
- Published
- 2025-06-06
- DOI
- https://doi.org/10.1109/ethics65148.2025.11098311
- Primary Topic
- Ethics and Social Impacts of AI
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Science Foundation