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Assurance and testing
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Certification of Machine Learning Applications in the Context of Trustworthy AI with Reference to the Standardisation of AI Systems
We review the landscape of AI standards and certification and emphasise their role in the context of trustworthy AI. Third-party…
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Strategic Research Agenda supporting the EMN Mathmet by addressing EURAMETās key priorities and challenges in mathematics and statistics in metrology
This document constitutes the Strategic Research Agenda (SRA) for the European Metrology Network for Mathematics and Statistics in Metrology (EMN…
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Trust and artificial intelligence
The artificial intelligence (AI) revolution is upon us, with the promise of advances such as driverless cars, smart buildings, automated…
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Psychological foundations of explainability and interpretability in artificial intelligence
In this paper, we make the case that interpretability and explainability are distinct requirements for machine learning systems. To make…
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Four principles of explainable artificial intelligence
We introduce four principles for explainable artiļ¬cial intelligence (AI) that comprise fundamental properties for explainable AI systems. We propose that…
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AI risk management framework
NIST is developing a framework to better manage risks to individuals, organizations, and society associated with artificial intelligence (AI). The…
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Towards auditable AI systems
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