Explainability and transparency
Research and analysis item
Towards auditable AI systems
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
Robustness and explainability of artificial intelligence: from technical to policy solutions
In the light of the recent advances in artificial intelligence (AI), the serious negative consequences of its use for EU…
Research and analysis item
Understanding artificial intelligence ethics and safety: a guide for the responsible design and implementation of AI systems in the public sector
A remarkable time of human promise has been ushered in by the convergence of the ever-expanding availability of big data,…
Research and analysis item
Using artificial intelligence in the workplace: what are the main ethical risks?
Research and analysis item
Complete transparency, complete simplicity: how can the public sector be meaningfully transparent about algorithmic decision making?
This report, commissioned by the CDEI, outlines the findings from a deliberative public engagement exercise conducted by BritainThinks about algorithmic…
Official policy proposals and consultations
Blueprint for an AI bill of rights
The Blueprint for an AI Bill of Rights is a guide for a society that protects all people from these…
Official policy proposals and consultations
Consultation on the future regulation of medical devices in the United Kingdom
Between September and November 2021, the Medicines and Healthcare products Regulatory Agency (MHRA) consulted on proposed changes to the regulatory…
