Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Castelnovo, Alessandro"'
The remarkable success of Artificial Intelligence in advancing automated decision-making is evident both in academia and industry. Within the plethora of applications, ranking systems hold significant importance in various domains. This paper advocat
Externí odkaz:
http://arxiv.org/abs/2312.10094
In recent years, the increase in the usage and efficiency of Artificial Intelligence and, more in general, of Automated Decision-Making systems has brought with it an increasing and welcome awareness of the risks associated with such systems. One of
Externí odkaz:
http://arxiv.org/abs/2311.12435
Autor:
Castelnovo, Alessandro, Crupi, Riccardo, Inverardi, Nicole, Regoli, Daniele, Cosentini, Andrea
Publikováno v:
Proceedings of 1st Workshop on Bias, Ethical AI, Explainability and the Role of Logic and Logic Programming (BEWARE 2022) co-located with the 21th International Conference of the Italian Association for Artificial Intelligence (AI*IA 2022)
Machine learning applications are becoming increasingly pervasive in our society. Since these decision-making systems rely on data-driven learning, risk is that they will systematically spread the bias embedded in data. In this paper, we propose to a
Externí odkaz:
http://arxiv.org/abs/2209.05889
Explainable Artificial Intelligence (XAI) is a set of techniques that allows the understanding of both technical and non-technical aspects of Artificial Intelligence (AI) systems. XAI is crucial to help satisfying the increasingly important demand of
Externí odkaz:
http://arxiv.org/abs/2106.07754
Autor:
Castelnovo, Alessandro, Crupi, Riccardo, Greco, Greta, Regoli, Daniele, Penco, Ilaria Giuseppina, Cosentini, Andrea Claudio
Publikováno v:
Sci Rep 12, 4209 (2022)
In recent years, the problem of addressing fairness in Machine Learning (ML) and automatic decision-making has attracted a lot of attention in the scientific communities dealing with Artificial Intelligence. A plethora of different definitions of fai
Externí odkaz:
http://arxiv.org/abs/2106.00467
Autor:
Castelnovo, Alessandro, Crupi, Riccardo, Del Gamba, Giulia, Greco, Greta, Naseer, Aisha, Regoli, Daniele, Gonzalez, Beatriz San Miguel
Publikováno v:
2020 IEEE International Conference on Big Data (Big Data)
Algorithmic bias mitigation has been one of the most difficult conundrums for the data science community and Machine Learning (ML) experts. Over several years, there have appeared enormous efforts in the field of fairness in ML. Despite the progress
Externí odkaz:
http://arxiv.org/abs/2102.02137
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Castelnovo, Alessandro, Cosentini, Andrea, Malandri, Lorenzo, Mercorio, Fabio, Mezzanzanica, Mario
Publikováno v:
In Information Processing and Management November 2022 59(6)
Publikováno v:
Data Mining & Knowledge Discovery; Sep2024, Vol. 38 Issue 5, p2733-2769, 37p
Autor:
Castelnovo, Alessandro1,2 (AUTHOR), Crupi, Riccardo1 (AUTHOR), Greco, Greta1,2 (AUTHOR), Regoli, Daniele1 (AUTHOR) daniele.regoli@intesasanpaolo.com, Penco, Ilaria Giuseppina1 (AUTHOR), Cosentini, Andrea Claudio1 (AUTHOR)
Publikováno v:
Scientific Reports. 10/22/2022, Vol. 12 Issue 1, p1-21. 21p.