Corinna Hertweck
Corinna Hertweck
ZHAW
School of Engineering
Forschungsschwerpunkt Business Engineering and Operations Management
Technikumstrasse 81
8400 Winterthur
Projects
- Socially acceptable AI and fairness trade-offs in predictive analytics / Team member / Project ongoing
- Machine learning and algorithms in social work / Team member / Project completed
Publications
-
Wehrli, Samuel; Hertweck, Corinna; Amirian, Mohammadreza; Glüge, Stefan; Stadelmann, Thilo,
2021.
Bias, awareness, and ignorance in deep-learning-based face recognition.
AI and Ethics.
2(3), pp. 509-522.
Available from: https://doi.org/10.1007/s43681-021-00108-6
-
Viganò, Eleonora; Hertweck, Corinna; Heitz, Christoph; Loi, Michele,
2022.
In:
Faact '22: Proceedings of the 2022 ACM Conference on Fairness, Accountability, and Transparency.
5th ACM Conference on Fairness, Accountability, and Transparency (FAccT), Seoul, Republic of Korea, 21–24 June, 2022.
New York:
Association for Computing Machinery.
pp. 2293-2301.
Available from: https://doi.org/10.1145/3531146.3534643
-
Hertweck, Corinna; Räz, Tim,
2022.
Gradual (in)compatibility of fairness criteria [paper].
In:
Proceedings of the 36th AAAI Conference on Artificial Intelligence : Vol. 36 No. 11: IAAI-22, EAAI-22, AAAI-22 Special Programs and Special Track, Student Papers and Demonstrations.
36th AAAI Conference on Artificial Intelligence, online, 22 February–1 March 2022.
Palo Alto, CA:
Association for the Advancement of Artificial Intelligence.
pp. 11926-11934.
Available from: https://doi.org/10.1609/aaai.v36i11.21450
-
Hertweck, Corinna; Heitz, Christoph,
2021.
A systematic approach to group fairness in automated decision making [paper].
In:
Proceedings of the 8th SDS.
8th Swiss Conference on Data Science, Lucerne, Switzerland, 9 June 2021.
IEEE.
pp. 1-6.
Available from: https://doi.org/10.1109/SDS51136.2021.00008
-
Hertweck, Corinna; Heitz, Christoph; Loi, Michele,
2021.
On the moral justification of statistical parity [paper].
In:
Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency.
4th ACM Conference on Fairness, Accountability, and Transparency (FAccT), online, 3-10 March 2021.
New York:
Association for Computing Machinery.
pp. 747-757.
Available from: https://doi.org/10.1145/3442188.3445936