We present a tool for the detection of biased behaviours in AI systems. Using a specific probability-based algorithm, we provide the means to compare the action of the user’s algorithm of choice on a specific feature that they deem “sensible” with respect to fixed classes and to a known optimal behaviour.

BRIOxAlkemy: A Bias detecting tool

Francesco A. Genco;
2024-01-01

Abstract

We present a tool for the detection of biased behaviours in AI systems. Using a specific probability-based algorithm, we provide the means to compare the action of the user’s algorithm of choice on a specific feature that they deem “sensible” with respect to fixed classes and to a known optimal behaviour.
2024
2nd Workshop on Bias, Ethical AI, Explainability and the role of Logic and Logic Programming co-located with the 22nd International Conference of the Italian Association for Artificial Intelligence
Roma
2023
BEWARE 2023 : Bias, Ethical AI, Explainability and the role of Logic and Logic Programming
CEUR Workshop Proceedings
3615
44
60
979-12-210-5370-8
https://ceur-ws.org/Vol-3615/paper4.pdf
Bias; Machine Learning; AI
Greta Coraglia; Fabio Aurelio D’Asaro; Francesco A. Genco; Davide Giannuzzi; Davide Posillipo; Giuseppe Primiero; Christian Quaggio
File in questo prodotto:
File Dimensione Formato  
paper4.pdf

Accesso riservato

Dimensione 1.97 MB
Formato Adobe PDF
1.97 MB Adobe PDF   Visualizza/Apri   Richiedi una copia

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/2024691
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact