Search Results - "Mathez, Emilie Wiinblad"
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Assessing Trustworthy AI in Times of COVID-19: Deep Learning for Predicting a Multiregional Score Conveying the Degree of Lung Compromise in COVID-19 Patients
Published in IEEE transactions on technology and society (01-12-2022)“…This article's main contributions are twofold: 1) to demonstrate how to apply the general European Union's High-Level Expert Group's (EU HLEG) guidelines for…”
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Assessing Trustworthy AI in times of COVID-19. Deep Learning for predicting a multi-regional score conveying the degree of lung compromise in COVID-19 patients
Published in IEEE transactions on technology and society (2022)“…The paper's main contributions are twofold: to demonstrate how to apply the general European Union's High-Level Expert Group's (EU HLEG) guidelines for…”
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Lessons Learned in Performing a Trustworthy AI and Fundamental Rights Assessment
Published 22-04-2024“…This report shares the experiences, results and lessons learned in conducting a pilot project ``Responsible use of AI'' in cooperation with the Province of…”
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How to Assess Trustworthy AI in Practice
Published 28-06-2022“…This report is a methodological reflection on Z-Inspection$^{\small{\circledR}}$. Z-Inspection$^{\small{\circledR}}$ is a holistic process used to evaluate the…”
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Journal Article