Corinna Hertweck

According to our database, Corinna Hertweck authored at least 16 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Utility on the brain: an empirical investigation of fairness perceptions of algorithmic decisions under a utility-based ethical evaluation framework.

Serhiy Kandul, Corinna Hertweck, Ulrich Leicht-Deobald

AI Ethics, February, 2026

2024

Discrimination for the sake of fairness by design and its legal framework.

Holly Hoch, Corinna Hertweck, Michele Loi, Aurelia Tamò-Larrieux

Comput. Law Secur. Rev., 2024

Group Fairness Refocused: Assessing the Social Impact of ML Systems.

Corinna Hertweck, Michele Loi, Christoph Heitz

Proceedings of the 11th IEEE Swiss Conference on Data Science, 2024

20% Increase in Fairness for Black Applicants": a Critical Examination of Fairness Measurements Offered by Startups.

Corinna Hertweck, Maya Guido

Proceedings of the 3rd European Workshop on Algorithmic Fairness, 2024

What's Distributive Justice Got to Do with It? Rethinking Algorithmic Fairness from a Perspective of Approximate Justice.

Corinna Hertweck, Christoph Heitz, Michele Loi

Proceedings of the Seventh AAAI/ACM Conference on AI, Ethics, and Society (AIES-24) - Full Archival Papers, October 21-23, 2024, San Jose, California, USA, 2024

2023

FairnessLab: A Consequence-Sensitive Bias Audit and Mitigation Toolkit.

Corinna Hertweck, Joachim Baumann, Michele Loi, Christoph Heitz

Proceedings of the 2nd European Workshop on Algorithmic Fairness, 2023

Unification, Extension, and Interpretation of Group Fairness Metrics for ML-Based Decision-Making.

Joachim Baumann, Corinna Hertweck, Michele Loi, Christoph Heitz

Proceedings of the 2nd European Workshop on Algorithmic Fairness, 2023

2022

Designing Affirmative Action Policies under Uncertainty.

Corinna Hertweck, Carlos Castillo, Michael Mathioudakis

J. Learn. Anal., August, 2022

Distributive Justice as the Foundational Premise of Fair ML: Unification, Extension, and Interpretation of Group Fairness Metrics.

Joachim Baumann, Corinna Hertweck, Michele Loi, Christoph Heitz

CoRR, 2022

A Justice-Based Framework for the Analysis of Algorithmic Fairness-Utility Trade-Offs.

Corinna Hertweck, Joachim Baumann, Michele Loi, Eleonora Viganò, Christoph Heitz

CoRR, 2022

Bias, awareness, and ignorance in deep-learning-based face recognition.

Samuel Wehrli, Corinna Hertweck, Mohammadreza Amirian, Stefan Glüge, Thilo Stadelmann

AI Ethics, 2022

People are not coins: Morally distinct types of predictions necessitate different fairness constraints.

Eleonora Viganò, Corinna Hertweck, Christoph Heitz, Michele Loi

Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

Gradual (In)Compatibility of Fairness Criteria.

Corinna Hertweck, Tim Räz

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

A Systematic Approach to Group Fairness in Automated Decision Making.

Corinna Hertweck, Christoph Heitz

Proceedings of the 8th Swiss Conference on Data Science, 2021

On the Moral Justification of Statistical Parity.

Corinna Hertweck, Christoph Heitz, Michele Loi

Proceedings of the FAccT '21: 2021 ACM Conference on Fairness, 2021

2020

Towards Data-Driven Affirmative Action Policies under Uncertainty.

Corinna Hertweck, Carlos Castillo, Michael Mathioudakis

CoRR, 2020