The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.
Development and validation of an instrument to measure undergraduate students’ attitudes toward the ethics of artificial intelligence (AT-EAI) and analysis of its difference by gender and experience of AI education
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“There is an increasing consensus that AI ethical awareness consists of five major aspects: transparency, fairness, privacy, responsibility, and non-maleficence”
From Assessment of AI ethical reflection: the development and validation of the AI ethical reflection scale (AIERS) for university students (2025) · cites this paper as Jang et al., 2022
In the citing paper
“This is consistent with the finding of Jang et al. (2022) that female students demonstrated greater AI ethical awareness.”
From Assessment of AI ethical reflection: the development and validation of the AI ethical reflection scale (AIERS) for university students (2025) · cites this paper as Jang et al., 2022
In the citing paper
“By acquiring this general AI ethical awareness, individuals can better anticipate the potential risks of AI and can have more positive and ethical engagement with AI”
From Assessment of AI ethical reflection: the development and validation of the AI ethical reflection scale (AIERS) for university students (2025) · cites this paper as Jang et al., 2022
In the citing paper
“previous research has documented significant differences in attitudes toward AI ethics between students who have previous experience with AI education and those who do not”
From Assessment of AI ethical reflection: the development and validation of the AI ethical reflection scale (AIERS) for university students (2025) · cites this paper as Jang et al., 2022
Citations
Cites
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“• Non-maleficence: Non-maleficence advocates for the development, deployment, and use of AI in a way that avoids harm to humans (Floridi et al., 2018).”
Awad, E., Dsouza, S., Kim, R., Schulz, J., Henrich, J., Shariff, A., Bonnefon, J.-F., & Rahwan, I. (2018) · Nature · doi:10.1038/s41586-018-0637-6 · Cited by 1,859 · cited 1×
“As evidenced by the Moral Machine Experi-ment’s findings, national and cultural factors play a significant role in AI ethics (Awad et al., 2018).”
Precision medicine, AI, and the future of personalized health care
Johnson, K. B., Wei, W., Weeraratne, D., Frisse, M. E., Misulis, K., Rhee, K., Zhao, J., & Snowdon, J. L. (2021) · Clinical and Translational Science · doi:10.1111/cts.12884 · Cited by 1,854
Rajpurkar, P., Irvin, J., Ball, R. L., Zhu, K., Yang, B., Mehta, H., Duan, T., Ding, D., Bagul, A., Langlotz, C. P., et al. (2018) · PLOS Medicine · doi:10.1371/journal.pmed.1002686 · Cited by 1,449
Ethics of AI in Education: Towards a Community-Wide Framework
Holmes, W., Porayska-Pomsta, K., Holstein, K., Sutherland, E., Baker, T., Shum, S. B., Santos, O. C., Rodrigo, M. T., Cukurova, M., Bittencourt, I. I., et al. (2022) · International Journal of Artificial Intelligence in Education · doi:10.1007/s40593-021-00239-1 · Cited by 1,437
Fjeld, J., Achten, N., Hilligoss, H., Nagy, A., & Srikumar, M. (2020) · SSRN Electronic Journal · doi:10.2139/ssrn.3518482 · Cited by 998 · cited 1×
“Fjeld et al. (2020) conducted a review of 36 key documents and discovered that they all adhered to fairness and non-discrimination principles.”
How AI can be a force for good
Taddeo, M., & Floridi, L. (2018) · Science · doi:10.1126/science.aat5991 · Cited by 760
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Metadata
- Authors
- Jang, Y., Choi, S., & Kim, H.
- Venue
- Education and Information Technologies
- Published
- 2022-05-18
- Volume
- 27
- Issue
- 8
- Pages
- 11635-11667
- ISSN
- 1360-2357
- 1573-7608
- Cited by
- 135
- References
- 19
- Language
- en
- Update notices
- correction (2022-06-18)
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