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Harmonising artificial intelligence: the role of standards in the EU AI regulation
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An overview of national AI strategies and policies
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Big data analytics need standards to thrive: what standards are and why they matter
With data now considered by some to be the ānew oil,ā civil society, industry and governments need to begin setting…
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Standards for cybersecure IoT devices: a way forward
The cybersecurity risks of Internet of Things (IoT) devices are well documented. In the absence of safety and cybersecurity regulations,…
Research and analysis item
The EU AI Act: a summary of its significance and scope
This explainer will be particularly useful for UK and global policymakers, as the Act is likely to become, or at…
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Regulate to innovate
A report which sets out how regulation provides clear, unambiguous rules, which are necessary if the UK is to embrace…
Research and analysis item
AI barometer 2020
The AI Barometer is an analysis of the most pressing opportunities, risks, and governance challenges associated with AI and data…
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Using machine learning in diagnostic services: a report with recommendations from CQCās regulatory sandbox
This report presents the findings from the Care Quality Commissionās (CQCās) regulatory sandbox pilot. Regulatory sandboxing is a way of…
Research and analysis item
Data-driven healthcare: regulation and regulators
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Understanding UK artifcial intelligence R&D commercialisation and the role of standards
Research commissioned by DCMS to understand the R&D commercialisation process related to Artificial Intelligence in the UK. This content is…
Research and analysis item
Data foundations and AI adoption in the UK private and third sectors
Research and analysis item
Understanding the UK AI labour market: 2020
DCMS commissioned this research to improve understanding of the current UK Artificial Intelligence (AI) labour market. The research aimed to…