Reports, resolutions, and position papers
HM Government response to Sir Patrick Vallanceās pro-innovation regulation of technologies review: Digital technologies
This content is available under the Open Government Licence v3.0
Government
Reports, resolutions, and position papers
CDEI portfolio of AI assurance techniques
The portfolio of AI assurance techniques has been developed by the Centre for Data Ethics and Innovation (CDEI), initially in…
Reports, resolutions, and position papers
Emerging processes for frontier AI safety
The UK has encouraged frontier AI organisations to publish details on their frontier AI safety policies ahead of the AI…
Strategies and roadmaps
Medical technology strategy
Building on the broader Life Sciences Vision, this high-level document reviews the current UK medtech landscape and identifies and prioritises…
Official policy proposals and consultations
A pro-innovation approach to AI regulation
In the National AI Strategy, the government committed to developing a pro-innovation national position on governing and regulating AI, and…
Reports, resolutions, and position papers
Draft standardisation request to the European Standardisation Organisations in support of safe and trustworthy artificial intelligence
Research and analysis item
Towards auditable AI systems
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
A taxonomy and terminology of adversarial machine learning
This NIST Interagency/Internal Report (NISTIR) is intended as a step toward securing applications of Artificial Intelligence (AI), especially against adversarial…
Research and analysis item
Towards a standard for identifying and managing bias in artificial intelligence
As individuals and communities interact in and with an environment that is increasingly virtual they are often vulnerable to the…
