2 papers
cs.SE2025
Investigating Issues that Lead to Code Technical Debt in Machine Learning Systems
Rodrigo Ximenes, Antonio Pedro Santos Alves, Tatiana Escovedo +2
[Context] Technical debt (TD) in machine learning (ML) systems, much like its counterpart in software engineering (SE), holds the potential to lead to future rework, posing risks t…
cs.CY2024
Trustworthy AI in practice: an analysis of practitioners' needs and challenges
Maria Teresa Baldassarre, Domenico Gigante, Marcos Kalinowski +2
Recently, there has been growing attention on behalf of both academic and practice communities towards the ability of Artificial Intelligence (AI) systems to operate responsibly an…