Michele Loi (he/him)

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.

Articles for AlgorithmWatch

A data scientist had found that their work (the algorithm depicted on their laptop screen) has ‘jumped’ out of the screen and threatens to cause problems with a variety of different industries. Here a hospital, bus and siren could represent healthcare, transport and emergency services. The data scientist looks shocked and worried about what trouble the AI may cause there.

Making sense of the Digital Services Act

How to define platforms’ systemic risks to democracy

Investigative journalism and algorithmic fairness

Automated Decision-Making Systems in the Public Sector – An Impact Assessment Tool for Public Authorities

Towards accountability in the use of Artificial Intelligence for Public Administrations

“We must save privacy from privacy itself”

People Analytics must benefit the people