Trustworthy Machine Learning: The Clash Among the Right to Be Forgotten, Inspectable Models, and Utility

Link to the original source: https://ieeexplore.ieee.org/document/11641730

APA: Domingo-Ferrer J; Sanchez D; Lin HY (2026). Trustworthy Machine Learning: The Clash Among the Right to Be Forgotten, Inspectable Models, and Utility. COMPUTER, 59(8), 107-111. DOI: 10.1109/MC.2026.3672956

Paper original source: COMPUTER. 59 (8): 107-111

Article's DOI: 10.1109/MC.2026.3672956

Journal publication year: 2026-01-01

Entity: Universitat Rovira i Virgili

Paper version: info:eu-repo/semantics/submittedVersion

Record's date: 2026-10-10

URV's Author/s: Domingo Ferrer, Josep / Sánchez Ruenes, David

Department: Enginyeria Informàtica i Matemàtiques

Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/

Publication Type: info:eu-repo/semantics/article

Author, as appears in the article.: Domingo-Ferrer J; Sanchez D; Lin HY

licence for use: https://creativecommons.org/licenses/by/3.0/es/

Thematic Areas: Software, General computer science, Computer science, software, graphics, programming, Computer science, software engineering, Computer science, hardware & architecture, Computer science (miscellaneous), Computer science (all), Ciência da computação

Author's mail: david.sanchez@urv.cat, josep.domingo@urv.cat