Salvatore Ruggieri

Datos Biográficos

ID9700857
NOMBRESalvatore Ruggieri
NOMBRESSalvatore
APELLIDORuggieri
FIRMARUGGIERI S
AFILIACIONESUniversity of Pisa
ORCID0000-0002-1917-6087
VERIFICADOSí
TOTAL DE OBRAS4
TOTAL DE CITAS0
TOTAL COMO AUTOR4
TOTAL COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2019
AÑO MÁS RECIENTE DE PUBLICACIÓN2024
ÍNDICE H0

  • Policy advice and best practices on bias and fairness in AI

    Open AccessJose M Alvarez, Alejandra Bringas Colmenarejo et al.ARTICLEEthics and Information Technology2024

    The literature addressing bias and fairness in AI models ( fair-AI ) is growing at a fast pace, making it difficult for novel researchers and practitioners to have a bird’s-eye view picture of the field. In particular, many policy initiatives, standards, and best practices in fair-AI have been proposed for setting principles, procedures, and knowledge bases to guide and operationalize the management of bias and fairness. The first objective of th…

  • Give more data, awareness and control to individual citizens, and they will help Covid-19 containment

    Open AccessMirco Nanni, Gennady Andrienko et al.ARTICLEEthics and Information Technology2021

    The rapid dynamics of COVID-19 calls for quick and effective tracking of virus transmission chains and early detection of outbreaks, especially in the “phase 2” of the pandemic, when lockdown and other restriction measures are progressively withdrawn, in order to avoid or minimize contagion resurgence. For this purpose, contact-tracing apps are being proposed for large scale adoption by many countries. A centralized approach, where data sensed by…

  • Bias in data‐driven artificial intelligence systems—An introductory survey

    Open AccessEirini Ntoutsi, Pavlos Fafalios et al.ARTICLEWIREs Data Mining and Knowledge…2020

    Artificial Intelligence (AI)‐based systems are widely employed nowadays to make decisions that have far‐reaching impact on individuals and society. Their decisions might affect everyone, everywhere, and anytime, entailing concerns about potential human rights issues. Therefore, it is necessary to move beyond traditional AI algorithms optimized for predictive performance and embed ethical and legal principles in their design, training, and deploym…

  • A Survey of Methods for Explaining Black Box Models

    Open AccessRiccardo Guidotti, Anna Monreale et al.ARTICLEACM Computing Surveys2019

    In recent years, many accurate decision support systems have been constructed as black boxes, that is as systems that hide their internal logic to the user. This lack of explanation constitutes both a practical and an ethical issue. The literature reports many approaches aimed at overcoming this crucial weakness, sometimes at the cost of sacrificing accuracy for interpretability. The applications in which black box decision systems can be used ar…