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Algorithmic Fairness in data-based decision making: Combining ethics and technology

Description

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.

Key Data

Deputy Projectlead

Dr. Michele Loi

Project team

Joachim Baumann

Project partners

Universität Zürich / Digital Society Initiative; Zetamind AG

Project status

completed, 01/2021 - 03/2023

Institute/Centre

Institute of Data Analysis and Process Design (IDP)

Funding partner

Innosuisse - Innovationsprojekt

Project budget

178'000 CHF