Benedict Kuester
AI Ethics, Fairness & Society · 2018
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- AI Ethics, Fairness & Society — 10 citations into it
Whom Benedict Kuester trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Muhammad Bilal Zafar
- Julius Adebayo
- Toon Calders
- Moritz Hardt
- Isabel Valera
- Rob J Hyndman
- Cynthia Dwork
- Jon M. Kleinberg
- Richard S. Zemel
- Toshihiro Kamishima
Who trusts Benedict Kuester overall
Papers from Benedict Kuester's perspective
Ordered by how strongly the researchers Benedict Kuester trusts endorse each paper. Same corpus, a different order for every researcher.
- Fairness through awareness
- Equality of Opportunity in Supervised Learning
- Discrimination-aware data mining
- Learning Fair Representations
- Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments
- Inherent Trade-Offs in the Fair Determination of Risk Scores
- Three naive Bayes approaches for discrimination-free classification
- Certifying and Removing Disparate Impact
- Fairness-aware Learning through Regularization Approach
- Fairness in Learning: Classic and Contextual Bandits
Their papers
- Aequitas: A Bias and Fairness Audit Toolkit (2018) — 412 citations