97 citations · 156 across the 11 of their papers we have counts for
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cs.CY2021
A Checklist for Explainable AI in the Insurance Domain
Olivier Koster, Ruud Kosman, Joost Visser
Artificial intelligence (AI) is a powerful tool to accomplish a great many tasks. This exciting branch of technology is being adopted increasingly across varying sectors, including…
cs.SE2021
Adapting Software Architectures to Machine Learning Challenges
Alex Serban, Joost Visser
Unique developmental and operational characteristics of ML components as well as their inherent uncertainty demand robust engineering principles are used to ensure their quality. W…
cs.SE2021
Practices for Engineering Trustworthy Machine Learning Applications
Alex Serban, Koen van der Blom, Holger Hoos +1
Following the recent surge in adoption of machine learning (ML), the negative impact that improper use of ML can have on users and society is now also widely recognised. To address…