Algorithmic Fairness in data-based decision making: Combining ethics and technology
Beschreibung
In the project "Algorithmic Fairness in data-based decision making: Combining ethics and technology" we develop a consulting approach for helping companies to create data-based decision algorithms that explicitly consider fairness requirements. This approach is based on a new methodology which integrates an ethical choice methodology with a technical implementation methodology.
Eckdaten
Projektleitung
Stellv. Projektleitung
Dr. Michele Loi
Projektteam
Joachim Baumann
Projektpartner
Universität Zürich / Digital Society Initiative; Zetamind AG
Projektstatus
abgeschlossen, 01/2021 - 03/2023
Institut/Zentrum
Institut für Datenanalyse und Prozessdesign (IDP)
Drittmittelgeber
Innosuisse - Innovationsprojekt
Projektvolumen
178'000 CHF