People Analytics must benefit the people. An ethical analysis of data-driven algorithmic systems in human resources management

In his study, Michele Loi of the Institute for Biomedical Ethics and History of Medicine at the University of Zurich develops recommendations on how systems for automated HR management can be used in an ethically responsible manner.

Michele Loi

Senior Research Advisor

Photo: Julia Bornkessel

Michele Loi, Ph.D., is Marie Sklowdoska-Curie Individual Fellow at the Department of Mathematics of the Politecnico Milan with a research project on Fair Predictions in Health. He is also co-principal investigator of the interdisciplinary project Socially Acceptable and Fair Algorithms, funded by the Swiss National Science Foundation, and has been Principal Investigator of the project "Algorithmic Fairness: Development of a methodology for controlling and minimizing algorithmic bias in data based decision making", funded by the Swiss Innovation Agency.