Algorithmic Fairness in Business Analytics: Directions for Research and
Practice

Algorithmic Fairness in Business Analytics: Directions for Research and Practice

22 July 2022

Maria De-Arteaga

Stefan Feuerriegel

M. Saar-Tsechansky

Papers citing "Algorithmic Fairness in Business Analytics: Directions for Research and Practice"

17 / 17 papers shown

Title
A Fused Large Language Model for Predicting Startup Success Abdurahman Maarouf Stefan Feuerriegel Nicolas Pröllochs 40 6 0 05 Sep 2024
Mapping the Potential of Explainable AI for Fairness Along the AI Lifecycle Luca Deck Astrid Schomacker Timo Speith Jakob Schöffer Lena Kästner Niklas Kühl 41 4 0 29 Apr 2024
Causal Fairness under Unobserved Confounding: A Neural Sensitivity Framework Maresa Schröder Dennis Frauen Stefan Feuerriegel CML 32 6 0 30 Nov 2023
Fair Supervised Learning with A Simple Random Sampler of Sensitive Attributes Jinwon Sohn Qifan Song Guang Lin FaML 34 1 0 10 Nov 2023
Counterfactual Fairness for Predictions using Generative Adversarial Networks Yuchen Ma Dennis Frauen Valentyn Melnychuk Stefan Feuerriegel 28 2 0 26 Oct 2023
A Critical Survey on Fairness Benefits of Explainable AI Luca Deck Jakob Schoeffer Maria De-Arteaga Niklas Kühl 26 10 0 15 Oct 2023
Generative AI Stefan Feuerriegel Jochen Hartmann Christian Janiesch Patrick Zschech 34 546 0 13 Sep 2023
Data-Driven Allocation of Preventive Care With Application to Diabetes Mellitus Type II Mathias Kraus Stefan Feuerriegel M. Saar-Tsechansky 28 9 0 14 Aug 2023
Mitigating Label Bias via Decoupled Confident Learning Yunyi Li Maria De-Arteaga M. Saar-Tsechansky 11 0 0 18 Jul 2023
Multi-Target Multiplicity: Flexibility and Fairness in Target Specification under Resource Constraints J. Watson-Daniels Solon Barocas Jake M. Hofman Alexandra Chouldechova 21 11 0 23 Jun 2023
Addressing distributional shifts in operations management: The case of order fulfillment in customized production J. Senoner Bernhard Kratzwald Milan Kuzmanovic Torbjørn H. Netland Stefan Feuerriegel OOD 32 4 0 24 Apr 2023
Fair Off-Policy Learning from Observational Data Dennis Frauen Valentyn Melnychuk Stefan Feuerriegel FaML OffRL 9 5 0 15 Mar 2023
Expanding Knowledge Graphs with Humans in the Loop Emaad A. Manzoor Jordan Tong S. Vijayaraghavan Rui Li 11 3 0 10 Dec 2022
Explanations, Fairness, and Appropriate Reliance in Human-AI Decision-Making Jakob Schoeffer Maria De-Arteaga Niklas Kuehl FaML 36 45 0 23 Sep 2022
Locating disparities in machine learning Moritz von Zahn O. Hinz Stefan Feuerriegel 17 4 0 13 Aug 2022
Improving fairness in machine learning systems: What do industry practitioners need? Kenneth Holstein Jennifer Wortman Vaughan Hal Daumé Miroslav Dudík Hanna M. Wallach FaML HAI 192 742 0 13 Dec 2018
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 201 2,082 0 24 Oct 2016