Corinna Hertweck

22 papers A* 1Journal 12Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
Utility on the brain: an empirical investigation of fairness perceptions of algorithmic decisions under a utility-based ethical evaluation framework.
AI Ethics
Serhiy Kandul, Corinna Hertweck, Ulrich Leicht-Deobald
2024 — conf
20% Increase in Fairness for Black Applicants": a Critical Examination of Fairness Measurements Offered by Startups.
EWAF
Corinna Hertweck, Maya Guido
2024 J jnl
Discrimination for the sake of fairness by design and its legal framework.
Comput. Law Secur. Rev.
Holly Hoch, Corinna Hertweck, Michele Loi, Aurelia Tamò-Larrieux
2024 — conf
Group Fairness Refocused: Assessing the Social Impact of ML Systems.
SDS
Corinna Hertweck, Michele Loi, Christoph Heitz
2024 — conf
What's Distributive Justice Got to Do with It? Rethinking Algorithmic Fairness from a Perspective of Approximate Justice.
AIES (1)
Corinna Hertweck, Christoph Heitz, Michele Loi
2024 J jnl
What's Distributive Justice Got to Do with It? Rethinking Algorithmic Fairness from the Perspective of Approximate Justice.
CoRR
Corinna Hertweck, Christoph Heitz, Michele Loi
2023 — conf
FairnessLab: A Consequence-Sensitive Bias Audit and Mitigation Toolkit.
EWAF
Corinna Hertweck, Joachim Baumann, Michele Loi, Christoph Heitz
2023 — ed.
Proceedings of the 2nd European Workshop on Algorithmic Fairness, Winterthur, Switzerland, June 7th to 9th, 2023.
EWAF
José M. Álvarez, Alessandro Fabris, Christoph Heitz, Corinna Hertweck, Michele Loi, Meike Zehlike
2023 — conf
Unification, Extension, and Interpretation of Group Fairness Metrics for ML-Based Decision-Making.
EWAF
Joachim Baumann, Corinna Hertweck, Michele Loi, Christoph Heitz
2022 J jnl
A Justice-Based Framework for the Analysis of Algorithmic Fairness-Utility Trade-Offs.
CoRR
Corinna Hertweck, Joachim Baumann, Michele Loi, Eleonora Viganò, Christoph Heitz
2022 J jnl
Bias, awareness, and ignorance in deep-learning-based face recognition.
AI Ethics
Samuel Wehrli, Corinna Hertweck, Mohammadreza Amirian, Stefan Glüge, Thilo Stadelmann
2022 J jnl
Designing Affirmative Action Policies under Uncertainty.
J. Learn. Anal.
Corinna Hertweck, Carlos Castillo, Michael Mathioudakis
2022 J jnl
Distributive Justice as the Foundational Premise of Fair ML: Unification, Extension, and Interpretation of Group Fairness Metrics.
CoRR
Joachim Baumann, Corinna Hertweck, Michele Loi, Christoph Heitz
2022 A* conf
Gradual (In)Compatibility of Fairness Criteria.
AAAI
Corinna Hertweck, Tim Räz
2022 J jnl
People are not coins. Morally distinct types of predictions necessitate different fairness constraints.
CoRR
Eleonora Viganò, Corinna Hertweck, Christoph Heitz, Michele Loi
2022 — conf
People are not coins: Morally distinct types of predictions necessitate different fairness constraints.
FAccT
Eleonora Viganò, Corinna Hertweck, Christoph Heitz, Michele Loi
2021 — conf
A Systematic Approach to Group Fairness in Automated Decision Making.
SDS
Corinna Hertweck, Christoph Heitz
2021 J jnl
A Systematic Approach to Group Fairness in Automated Decision Making.
CoRR
Corinna Hertweck, Christoph Heitz
2021 J jnl
Gradual (In)Compatibility of Fairness Criteria.
CoRR
Corinna Hertweck, Tim Räz
2021 — conf
On the Moral Justification of Statistical Parity.
FAccT
Corinna Hertweck, Christoph Heitz, Michele Loi
2020 J jnl
On the Moral Justification of Statistical Parity.
CoRR
Corinna Hertweck, Christoph Heitz, Michele Loi
2020 J jnl
Towards Data-Driven Affirmative Action Policies under Uncertainty.
CoRR
Corinna Hertweck, Carlos Castillo, Michael Mathioudakis