Michele Loi

Department of Mathematics, Politecnico di Milano

Post-doctoral researcher

Milano, CH-8006

Italy

  • Department of Mathematics, Politecnico di Milano

SCHOLARLY PAPERS

10

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3

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Scholarly Papers (10)

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1.

Canvas White Paper 1 – Cybersecurity and Ethics

Number of pages: 69 Posted: 28 Dec 2017
Emad Yaghmaei, Ibo van de Poel, Markus Christen, Bert Gordijn, Nadine Kleine, Michele Loi, Gwenyth Morgan and Karsten Weber
Delft University of Technology, Delft University of Technology, University of Zurich, Dublin City University, OTH Regensburg, Institute for Social Research and Technology Assessment (IST), Department of Mathematics, Politecnico di Milano, Dublin City University and OTH Regensburg, Institute for Social Research and Technology Assessment (IST)
Downloads 831 (40,512)
Citation 6

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Cybersecurity, Ethics, Health, Finance, National Security

2.

A Philosophical Theory of Fairness for Prediction-Based Decisions.

Number of pages: 39 Posted: 18 Sep 2019 Last Revised: 06 Feb 2022
Michele Loi, Anders Herlitz and Hoda Heidari
Department of Mathematics, Politecnico di Milano, The Institute for Future Studies and Carnegie Mellon University
Downloads 336 (123,490)
Citation 3

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Fairness, bias, statistical decision-making, statistical discrimination

3.

How Explainability Contributes to Trust in AI

2022 ACM Conference on Fairness, Accountability, and Transparency (FAccT ’22)
Number of pages: 10 Posted: 30 Jan 2022 Last Revised: 09 May 2022
Andrea Ferrario and Michele Loi
Dep. Management, Technology, and Economics ETH ZurichMobiliar Lab for Analytics at ETH and Department of Mathematics, Politecnico di Milano
Downloads 217 (191,496)

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Artificial Intelligence, Explainable Artificial Intelligence, Trust, Healthcare, Trustworthiness, Ethics of Artificial Intelligence

4.

Discrimination for the Sake of Fairness: Fairness by Design and Its Legal Framework

Number of pages: 31 Posted: 15 Mar 2021
Holly Hoch, Corinna Hertweck, Michele Loi and Aurelia Tamò
University of St. Gallen, University of Zurich, Department of Mathematics, Politecnico di Milano and Research Center for Information Law
Downloads 186 (220,359)

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discrimination, fairness, data protection law, anti-discrimination law, equal opportunity, special measures

5.

Ethical, Legal and Social Issues of Big Data - A Comprehensive Overview

White Paper of the ELSI Task Force for the National Research Programme “Big Data” (NRP 75)
Number of pages: 73 Posted: 28 Apr 2022
Eleonora Viganò, Markus Christen, Bernice S. Elger, Marcello Ienca, Michele Loi, Christophe Schneble, Mira Burri, Christian Hauser and David Shaw
Institute of Biomedical Ethics and History of Medicine, University of Zurich, University institute of Legal Medicine, ETH Zürich - Department of Health Sciences and Technology, Department of Mathematics, Politecnico di Milano, affiliation not provided to SSRN, University of Lucerne, Swiss Institute for Entrepreneurship and University of Basel
Downloads 155 (258,356)

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Big data, informed consent, data protection law, big data divide, digital sovereignty, health data, discrimination, big data research, big data in industry

6.

Algorithm, Machine Learning and Artificial Intelligence

Number of pages: 14 Posted: 06 Apr 2021
Andrea Ferrario and Michele Loi
Dep. Management, Technology, and Economics ETH ZurichMobiliar Lab for Analytics at ETH and Department of Mathematics, Politecnico di Milano
Downloads 145 (271,240)
Citation 1

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algorithm, machine learning, artificial intelligence, explainable artificial intelligence, ethics of artificial intelligence, trust

7.

Transparency As Design Publicity: Explaining and Justifying Inscrutable Algorithms

Number of pages: 20 Posted: 20 Jun 2019
Michele Loi, Andrea Ferrario and Eleonora Viganò
Department of Mathematics, Politecnico di Milano, Dep. Management, Technology, and Economics ETH ZurichMobiliar Lab for Analytics at ETH and University of Zurich - Institute for Biomedical Ethics and the History of Medicine
Downloads 107 (338,925)
Citation 5

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algorithms, transparency, interpretability, explanation, justification, AI

8.

Big Data and the Morality of Inclusion

Definitive (and shortened) version published in Italian as a book chapter in "Per cosa lottare. Le frontiere del progressismo", edited by Enrico Biale and Corrado Fumagalli, Fondazione Giangiacomo Feltrinelli, Milano, 2019 ISBN: 9788868353476
Number of pages: 26 Posted: 12 Feb 2019 Last Revised: 22 Oct 2019
Michele Loi and Markus Christen
Department of Mathematics, Politecnico di Milano and University of Zurich
Downloads 100 (354,423)

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big data, ethics, insurance, people analytics, human resources, solidarity

9.

How Much Do You Trust Me? A Logico-Mathematical Analysis of the Concept of the Intensity of Trust

Number of pages: 31 Posted: 21 Jan 2021
Michele Loi, Andrea Ferrario and Eleonora Viganò
Department of Mathematics, Politecnico di Milano, Dep. Management, Technology, and Economics ETH ZurichMobiliar Lab for Analytics at ETH and University of Zurich - Institute for Biomedical Ethics and the History of Medicine
Downloads 64 (458,100)
Citation 1

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trust, measure, philosophy, mathematical and quantitative methods

10.

Insurance Discrimination and Fairness in Machine Learning: An Ethical Analysis

Michele Loi and Markus Christen, “Choosing How to Discriminate: Navigating Ethical Trade-Offs in Fair Algorithmic Design for the Insurance Sector,” Philosophy & Technology, March 13, 2021, https://doi.org/10.1007/s13347-021-00444-9.
Posted: 28 Aug 2019 Last Revised: 05 May 2021
Michele Loi and Markus Christen
Department of Mathematics, Politecnico di Milano and University of Zurich

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insurance, discrimination, big data, fairness in machine learning, ethics

Other Papers (1)

Total Downloads: 0
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1.

The Meaning of 'Explainability Fosters Trust in AI'

Posted: 04 Sep 2021 Last Revised: 31 Jan 2022
Andrea Ferrario and Michele Loi
Dep. Management, Technology, and Economics ETH ZurichMobiliar Lab for Analytics at ETH and Department of Mathematics, Politecnico di Milano

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Artificial Intelligence, Explainable Artificial Intelligence, Trust, Healthcare, Trustworthiness, Ethics of Artificial Intelligence