Michele Loi

According to our database, Michele Loi authored at least 23 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Causal Equal Protection as Algorithmic Fairness.

Marcello Di Bello, Nicolò Cangiotti, Michele Loi

CoRR, 2024

2023

FairnessLab: A Consequence-Sensitive Bias Audit and Mitigation Toolkit.

Corinna Hertweck, Joachim Baumann, Michele Loi, Christoph Heitz

Proceedings of the 2nd European Workshop on Algorithmic Fairness, 2023

Classification Parity, Causal Equal Protection and Algorithmic Fairness.

Marcello Di Bello, Nicolò Cangiotti, Michele Loi

Proceedings of the 2nd European Workshop on Algorithmic Fairness, 2023

Unification, Extension, and Interpretation of Group Fairness Metrics for ML-Based Decision-Making.

Joachim Baumann, Corinna Hertweck, Michele Loi, Christoph Heitz

Proceedings of the 2nd European Workshop on Algorithmic Fairness, 2023

2022

Distributive Justice as the Foundational Premise of Fair ML: Unification, Extension, and Interpretation of Group Fairness Metrics.

Joachim Baumann, Corinna Hertweck, Michele Loi, Christoph Heitz

CoRR, 2022

A Justice-Based Framework for the Analysis of Algorithmic Fairness-Utility Trade-Offs.

Corinna Hertweck, Joachim Baumann, Michele Loi, Eleonora Viganò, Christoph Heitz

CoRR, 2022

Group Fairness Is Not Derivable From Justice: a Mathematical Proof.

Nicolò Cangiotti, Michele Loi

CoRR, 2022

The Robustness of Counterfactual Explanations Over Time.

Andrea Ferrario, Michele Loi

IEEE Access, 2022

People are not coins: Morally distinct types of predictions necessitate different fairness constraints.

Eleonora Viganò, Corinna Hertweck, Christoph Heitz, Michele Loi

Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

Is calibration a fairness requirement?: An argument from the point of view of moral philosophy and decision theory.

Michele Loi, Christoph Heitz

Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

How Explainability Contributes to Trust in AI.

Andrea Ferrario, Michele Loi

Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

2021

Transparency as design publicity: explaining and justifying inscrutable algorithms.

Michele Loi, Andrea Ferrario, Eleonora Viganò

Ethics Inf. Technol., 2021

On the Moral Justification of Statistical Parity.

Corinna Hertweck, Christoph Heitz, Michele Loi

Proceedings of the FAccT '21: 2021 ACM Conference on Fairness, 2021

Towards Accountability in the Use of Artificial Intelligence for Public Administrations.

Michele Loi, Matthias Spielkamp

Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021

Fair Equality of Chances for Prediction-based Decisions.

Michele Loi, Anders Herlitz, Hoda Heidari

Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021

2020

A Series of Unfortunate Counterfactual Events: the Role of Time in Counterfactual Explanations.

Andrea Ferrario, Michele Loi

CoRR, 2020

A blindspot of AI ethics: anti-fragility in statistical prediction.

Michele Loi, Lonneke van der Plas

CoRR, 2020

A Comparative Assessment and Synthesis of Twenty Ethics Codes on AI and Big Data.

Michele Loi, Christoph Heitz, Markus Christen

Proceedings of the 7th Swiss Conference on Data Science, 2020

The societal and ethical relevance of computational creativity.

Michele Loi, Eleonora Viganò, Lonneke van der Plas

Proceedings of the Eleventh International Conference on Computational Creativity, 2020

2019

Cybersecurity in health - disentangling value tensions.

Michele Loi, Markus Christen, Nadine Kleine, Karsten Weber

J. Inf. Commun. Ethics Soc., 2019

Towards an Ethical Code for Data-Based Business.

Michele Loi, Christoph Heitz, Andrea Ferrario, Anita Schmid, Markus Christen

Proceedings of the 6th Swiss Conference on Data Science, 2019

A Moral Framework for Understanding Fair ML through Economic Models of Equality of Opportunity.

Hoda Heidari, Michele Loi, Krishna P. Gummadi, Andreas Krause

Proceedings of the Conference on Fairness, Accountability, and Transparency, 2019

2015

Technological unemployment and human disenhancement.

Michele Loi

Ethics Inf. Technol., 2015