Assurance and testing
e-Learning
Introduction to standards: part 1
e-Learning
Introduction to AI assurance
Research and analysis item
Trust and artificial intelligence
The artificial intelligence (AI) revolution is upon us, with the promise of advances such as driverless cars, smart buildings, automated…
Research and analysis item
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…
Research and analysis item
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…
Research and analysis item
AI risk management framework
NIST is developing a framework to better manage risks to individuals, organizations, and society associated with artificial intelligence (AI). The…
Research and analysis item
Towards auditable AI systems
Research and analysis item
German standardization roadmap on artificial intelligence
Research and analysis item
From principles to practice: an interdisciplinary framework to operationalise AI ethics
Artificial intelligence (AI) increasingly pervades all areas of life. To seize the opportunities this technology offers society, while limiting its…
Research and analysis item
AI, human rights, democracy and the rule of law: a primer
Research and analysis item
Overview of standardization landscape in artificial intelligence
Artificial Intelligence (AI) is being talked about everywhere. Will it help us or hurt us? Will it unlock human potential…