Michele Loi

Adjunct, Milano, University of Milan

Researcher, Algorithmwatch

Joined

March 2025

Names

Michele Loi (Preferred)

Emails

****@icloud.com (Confirmed)

Personal Links

Homepage

Google Scholar

ORCID

Career & Education History

adjunct

Milano, University of Milan (unimi.it)

2024 – 2026

Researcher

Algorithmwatch (algorithmwatch.org)

2022 – 2026

Principal Researcher

University of Zurich (ini.uzh.ch)

2020 – 2024

Postdoc

, University of Zurich (ini.uzh.ch)

2016 – 2020

Advisors, Relations & Conflicts

PhD Advisee

Corinna Hertweck

Present

PhD Advisee

Joachim Baumann

Present

Postdoc Advisee

Eleonora Viganò

2020 – 2022

Expertise

quantitative methods for fairenss in ML and statistical fairness

2016 – Present

philosophical accounts of trust

2016 – Present

philosophical accounts of explainability

2016 – Present

philosophical fairness

2003 – Present

Publications

How Explainability Contributes to Trust in AI
Michele Loi, Andrea Ferrario
- FAccT ’22: Proceedings of the 2022 ACM Conference on Fairness, Accountability, and Transparency, pp. 1457-1466
- Readers: Everyone
People Are Not Coins: Morally Distinct Types of Predictions Necessitate Different Fairness Constraints
Michele Loi, Corinna Hertweck
- FAccT ’22: Proceedings of the 2022 ACM Conference on Fairness, Accountability, and Transparency, pp. 2293-2301
- Readers: Everyone
Is Calibration a Fairness Requirement?: An Argument from the Point of View of Moral Philosophy and Decision Theory
Michele Loi, Christoph Heitz
- FAccT ’22: Proceedings of the 2022 ACM Conference on Fairness, Accountability, and Transparency, pp. 2026-2034
- Readers: Everyone
On the Moral Justification of Statistical Parity
Michele Loi, Corinna Hertweck, Christoph Heitz
- FAccT ’21: Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency, pp. 747-757
- Readers: Everyone
A Moral Framework for Understanding Fair ML Through Economic Models of Equality of Opportunity
Michele Loi, Hoda Heidari, Krishna P. Gummadi, Andreas Krause
- FAT* ’19: Proceedings of the Conference on Fairness, Accountability, and Transparency, pp. 181-190
- Readers: Everyone
The Journal of Prompt-Engineered Philosophy Or: How I Started to Track AI Assistance and Stopped Worrying About Slopg
Michele Loi
- arXiv preprint / SSRN mirror
- Readers: Everyone
Transparency as Design Publicity: Explaining and Justifying Inscrutable Algorithms
Michele Loi, Andrea Ferrario
- Ethics and Information Technology, 23, 253-263
- Readers: Everyone
Towards Accountability in the Use of Artificial Intelligence for Public Administrations
Michele Loi
- Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society (AIES 2021), pp. 757-766
- Readers: Everyone
Fair Equality of Chances for Prediction-Based Decisions
Michele Loi, Hoda Heidari
- Economics & Philosophy, 40(3), 2024
- Readers: Everyone
The Representative Individuals Approach to Fair Machine Learning
Michele Loi
- AI and Ethics, 5, 3871-3881
- Readers: Everyone

View all 11 publications

Michele Loi

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

Co-Authors