Michele Loi

Orcid: 0000-0002-7053-4724

According to our database1, Michele Loi authored at least 26 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
What's Distributive Justice Got to Do with It? Rethinking Algorithmic Fairness from the Perspective of Approximate Justice.
CoRR, 2024

Causal Equal Protection as Algorithmic Fairness.
CoRR, 2024

Discrimination for the sake of fairness by design and its legal framework.
Comput. Law Secur. Rev., 2024

Group Fairness Refocused: Assessing the Social Impact of ML Systems.
Proceedings of the 11th IEEE Swiss Conference on Data Science, 2024

2023
FairnessLab: A Consequence-Sensitive Bias Audit and Mitigation Toolkit.
Proceedings of the 2nd European Workshop on Algorithmic Fairness, 2023

Classification Parity, Causal Equal Protection and Algorithmic Fairness.
Proceedings of the 2nd European Workshop on Algorithmic Fairness, 2023

Unification, Extension, and Interpretation of Group Fairness Metrics for ML-Based Decision-Making.
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.
CoRR, 2022

A Justice-Based Framework for the Analysis of Algorithmic Fairness-Utility Trade-Offs.
CoRR, 2022

Group Fairness Is Not Derivable From Justice: a Mathematical Proof.
CoRR, 2022

The Robustness of Counterfactual Explanations Over Time.
IEEE Access, 2022

People are not coins: Morally distinct types of predictions necessitate different fairness constraints.
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.
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.
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.
Ethics Inf. Technol., 2021

On the Moral Justification of Statistical Parity.
Proceedings of the FAccT '21: 2021 ACM Conference on Fairness, 2021

Towards Accountability in the Use of Artificial Intelligence for Public Administrations.
Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021

Fair Equality of Chances for Prediction-based Decisions.
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.
CoRR, 2020

A blindspot of AI ethics: anti-fragility in statistical prediction.
CoRR, 2020

A Comparative Assessment and Synthesis of Twenty Ethics Codes on AI and Big Data.
Proceedings of the 7th Swiss Conference on Data Science, 2020

The societal and ethical relevance of computational creativity.
Proceedings of the Eleventh International Conference on Computational Creativity, 2020

2019
Cybersecurity in health - disentangling value tensions.
J. Inf. Commun. Ethics Soc., 2019

Towards an Ethical Code for Data-Based Business.
Proceedings of the 6th Swiss Conference on Data Science, 2019

A Moral Framework for Understanding Fair ML through Economic Models of Equality of Opportunity.
Proceedings of the Conference on Fairness, Accountability, and Transparency, 2019

2015
Technological unemployment and human disenhancement.
Ethics Inf. Technol., 2015


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