QualAI is a two-year project that aims to define a set of recommenders to continuously monitor, assess, and improve the quality of AI-based systems, with a particular focus on ML-based systems. Quality assurance will be guaranteed from different perspectives and during both the development and operations phases. We will define recommenders for the quality assurance of both data and ML models to enable practitioners to mitigate technical debt. Emphasis will be given to communication issues that could arise in hybrid teams including data scientists and software developers. In this paper, we present the project outline, provide an executive summary of the research activities, and present the expected project results.
QualAI: Continuous Quality Improvement of AI-based Systems
N. Novielli
;F. Calefato;G. Colavito;E. Guglielmi;F. Lanubile;L. Quaranta;
2024-01-01
Abstract
QualAI is a two-year project that aims to define a set of recommenders to continuously monitor, assess, and improve the quality of AI-based systems, with a particular focus on ML-based systems. Quality assurance will be guaranteed from different perspectives and during both the development and operations phases. We will define recommenders for the quality assurance of both data and ML models to enable practitioners to mitigate technical debt. Emphasis will be given to communication issues that could arise in hybrid teams including data scientists and software developers. In this paper, we present the project outline, provide an executive summary of the research activities, and present the expected project results.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
