Research and analysis

A report which sets out how regulation provides clear, unambiguous rules, which are necessary if the UK is to embrace AI on terms that will be beneficial for people and society. Regulate to innovate provides evidence for how the UK…

With data now considered by some to be the “new oil,” civil society, industry and governments need to begin setting and implementing international foundational standards. There is an urgent need to set the ontology, semantics and definitions; define measurement and…

Technical standard-setting in artificial intelligence (AI) has a direct impact on traditional foreign policy domains, such as the protection of human rights and democracy, or foreign economic and trade policy. While European foreign policy makers engage in the regulation of…

Shaping international norms around the ethics of Artificial Intelligence (AI) is perceived as a new responsibility by foreign policy makers. This responsibility is accompanied by a desire to play an active role in the most important international fora. Given the…

This report presents the findings from the Care Quality Commission’s (CQC’s) regulatory sandbox pilot. Regulatory sandboxing is a way of working proactively and collaboratively to understand new types of health and social care service, agree what good quality looks like,…

Research commissioned by DCMS to understand the R&D commercialisation process related to Artificial Intelligence in the UK. This content is available under the Open Government Licence v3.0

DCMS commissioned this research to improve understanding of the current UK Artificial Intelligence (AI) labour market. The research aimed to gather evidence on: Current skills gaps The role of training, recruitment and outsourcing to fill skills gap Current skills shortages…