Michele Loi (he/him)

Senior Research Advisor

Photo: Julia Bornkessel

Michele Loi, Ph.D., is Senior Researcher at the Institute of Biomedical Ethics and the History of Medicine and Research Fellow at the Digital Society Initiative at the University of Zurich. In 2015–2016, he coordinated the writing of the World Health Organization's Guidance For Managing Ethical Issues In Infectious Disease Outbreaks as a consultant and helped drafting the World Health Organization's Guidelines on Ethical Issues in Public Health Surveillance.

Articles for AlgoritmWatch

Publication, 22 June 2021

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

How can we ensure a trustworthy use of automated decision-making systems (ADMS) in the public administration? AlgorithmWatch and AlgorithmWatch Switzerland developed a concrete and practicable impact assessment tool for ADMS in the public sector. This publication provides a framework ready to be implemented for the evaluation of specific ADMS by public authorities at different levels.

Chris Barbalis | Unsplash

Publication, 18 May 2021

Towards accountability in the use of Artificial Intelligence for Public Administrations

Michele Loi und Matthias Spielkamp analyze the regulatory content of 16 guideline documents about the use of AI in the public sector, by mapping their requirements to those of our philosophical account of accountability, and conclude that while some guidelines refer processes that amount to auditing, it seems that the debate would benefit from more clarity about the nature of the entitlement of auditors and the goals of auditing, also in order to develop ethically meaningful standards with respect to which different forms of auditing can be evaluated and compared.

Fusion Medical Animation | Unsplash

Op-ed, 31 March 2020

“We must save privacy from privacy itself”

Analysis , 12 March 2020

People Analytics must benefit the people

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.