Magnus Westerlund

Z-Inspection^®: A Process to Assess Trustworthy AI

2021 · 114 Zit. · IEEE Transactions on Technology and Society

Co-Design of a Trustworthy AI System in Healthcare: Deep Learning Based Skin Lesion Classifier

2021 · 65 Zit. · Frontiers in Human Dynamics

On Assessing Trustworthy AI in Healthcare. Machine Learning as a Supportive Tool to Recognize Cardiac Arrest in Emergency Calls

2021 · 51 Zit. · Frontiers in Human Dynamics

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

2022 · 36 Zit. · IEEE Transactions on Technology and Society

Lessons Learned from Assessing Trustworthy AI in Practice

2023 · 24 Zit. · Digital Society

How to Assess Trustworthy AI in Practice

2022 · 10 Zit. · arXiv (Cornell University)

Ethical maintenance of artificial intelligence systems

2021 · 9 Zit. · Edward Elgar Publishing eBooks

Using Sentence Embeddings and Semantic Similarity for Seeking Consensus when Assessing Trustworthy AI

2022 · 3 Zit. · arXiv (Cornell University)

How Meta-research Can Pave the Road Towards Trustworthy AI In Healthcare: Catalogue of Ideas and Roadmap for Future Research:Report for the Volkswagen Stiftung

2026 · 0 Zit. · Research at the University of Copenhagen (University of Copenhagen)

How Meta-research Can Pave the Road Towards Trustworthy AI In Healthcare: Catalogue of Ideas and Roadmap for Future Research

2026 · 0 Zit. · arXiv (Cornell University)

How Meta-research Can Pave the Road Towards Trustworthy AI In Healthcare: Catalogue of Ideas and Roadmap for Future Research

2026 · 0 Zit. · arXiv (Cornell University)