Corinna Hertweck

Orcid: 0000-0002-7639-2771

According to our database1, Corinna Hertweck authored at least 14 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
What's Distributive Justice Got to Do with It? Rethinking Algorithmic Fairness from the Perspective of Approximate Justice.
CoRR, 2024

Discrimination for the sake of fairness by design and its legal framework.
Comput. Law Secur. Rev., 2024

Group Fairness Refocused: Assessing the Social Impact of ML Systems.
Proceedings of the 11th IEEE Swiss Conference on Data Science, 2024

2023
FairnessLab: A Consequence-Sensitive Bias Audit and Mitigation Toolkit.
Proceedings of the 2nd European Workshop on Algorithmic Fairness, 2023

Unification, Extension, and Interpretation of Group Fairness Metrics for ML-Based Decision-Making.
Proceedings of the 2nd European Workshop on Algorithmic Fairness, 2023

2022
Designing Affirmative Action Policies under Uncertainty.
J. Learn. Anal., August, 2022

Distributive Justice as the Foundational Premise of Fair ML: Unification, Extension, and Interpretation of Group Fairness Metrics.
CoRR, 2022

A Justice-Based Framework for the Analysis of Algorithmic Fairness-Utility Trade-Offs.
CoRR, 2022

Bias, awareness, and ignorance in deep-learning-based face recognition.
AI Ethics, 2022

People are not coins: Morally distinct types of predictions necessitate different fairness constraints.
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.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
A Systematic Approach to Group Fairness in Automated Decision Making.
Proceedings of the 8th Swiss Conference on Data Science, 2021

On the Moral Justification of Statistical Parity.
Proceedings of the FAccT '21: 2021 ACM Conference on Fairness, 2021

2020
Towards Data-Driven Affirmative Action Policies under Uncertainty.
CoRR, 2020


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