6 citations · 8 across the 11 of their papers we have counts for
4 papers · 1 filter
Data Preparation for Fairness-Performance Trade-Offs: A Practitioner-Friendly Alternative?
Gianmario Voria, Rebecca Di Matteo, Giammaria Giordano +2
As machine learning (ML) systems are increasingly adopted across industries, addressing fairness and bias has become essential. While many solutions focus on ethical challenges in…
From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits?
Gianmario Voria, Stefano Lambiase, Maria Concetta Schiavone +2
As the adoption of machine learning (ML) systems continues to grow across industries, concerns about fairness and bias in these systems have taken center stage. Fairness toolkits,…
RECOVER: Toward Requirements Generation from Stakeholders' Conversations
Gianmario Voria, Francesco Casillo, Carmine Gravino +2
Stakeholders' conversations in requirements elicitation meetings hold valuable insights into system and client needs. However, manually extracting requirements is time-consuming, l…
A Catalog of Fairness-Aware Practices in Machine Learning Engineering
Gianmario Voria, Giulia Sellitto, Carmine Ferrara +5
Machine learning's widespread adoption in decision-making processes raises concerns about fairness, particularly regarding the treatment of sensitive features and potential discrim…