KEMMERZELL, Nils, SCHREINER, Annika, KHALID, Haroon, SCHALK, Michael und BORDOLI, Letizia, 2025. Towards a Better Understanding of Evaluating Trustworthiness in AI Systems. ACM Computing Surveys. 1 September 2025. Vol. 57, no. 9, p. 1-38. DOI 10.1145/3721976.
Elsevier - Harvard (with titles)Kemmerzell, N., Schreiner, A., Khalid, H., Schalk, M., Bordoli, L., 2025. Towards a Better Understanding of Evaluating Trustworthiness in AI Systems. ACM Computing Surveys 57, 1-38. https://doi.org/10.1145/3721976
American Psychological Association 7th editionKemmerzell, N., Schreiner, A., Khalid, H., Schalk, M., & Bordoli, L. (2025). Towards a Better Understanding of Evaluating Trustworthiness in AI Systems. ACM Computing Surveys, 57(9), 1-38. https://doi.org/10.1145/3721976
Springer - Basic (author-date)Kemmerzell N, Schreiner A, Khalid H, Schalk M, Bordoli L (2025) Towards a Better Understanding of Evaluating Trustworthiness in AI Systems.. ACM Computing Surveys 57:1-38. https://doi.org/10.1145/3721976
Juristische Zitierweise (Stüber) (Deutsch)Kemmerzell, Nils/ Schreiner, Annika/ Khalid, Haroon/ Schalk, Michael/ Bordoli, Letizia, Towards a Better Understanding of Evaluating Trustworthiness in AI Systems., ACM Computing Surveys 2025, 1-38.