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Emily Campbell-Ratcliffe

How the ‘Introduction to AI assurance’ guide is supporting government’s innovative approach to AI regulation

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DSIT’s Responsible Technology Adoption (RTA) Unit is pleased to publish its Introduction to AI assurance. This guidance is an accessible introduction that aims to support organisations to better understand how AI assurance techniques can be used to ensure the safe …

Six lessons for an AI assurance profession to learn from other domains - part three: features of effective certification schemes

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We are looking at professionalisation and certification as part of our programme of work to support the vision laid out in our roadmap to an effective AI assurance ecosystem. As discussed in part one, it will be helpful to learn …

Six lessons for an AI assurance profession to learn from other domains - part two: conditions for effective certification

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Lesson two: Broad community building is crucial  Community building that emphasises skills, communication, and diversity is crucial for ensuring that certification is reliable and accountable. Other sectors, like cybersecurity and healthcare, as well as cross-sector communities organised around ESG and …

Six lessons for an AI assurance profession to learn from other domains - part one: how can certification support trustworthy AI?

The UK government's recently published approach to AI regulation sets out a proportionate and adaptable framework that manages risk and enhances trust while also allowing innovation to flourish. The framework also highlights the critical role of tools for trustworthy AI, …

August release: COVID-19 repository 

Posted by: , Posted on: - Categories: Artificial intelligence, Covid-19, Ethical innovation

The number of brand new use-cases that we are seeing each month has seen a downturn since we began compiling the COVID-19 repository, although we are continuing to find further examples of the existing entries that we have been tracking, indicating that existing use-cases are being adopted more widely. 

Explainer: Case study: AI-driven testing for COVID-19

Posted by: , Posted on: - Categories: Artificial intelligence, Covid-19, Data-driven technology

In a project at Oxford University Hospitals NHS Foundation Trust (OUH), researchers have built an AI-driven test to screen for COVID-19, in the first hour of a patient arriving at an emergency department. The AI model - trained using laboratory bloods, blood gases, and observations recorded routinely during 115,000 presentations to Oxfordshire’s Emergency Departments - looks for a ‘biochemical and physiological signature’ of COVID-19.

Explainer: Social distancing wearables for the workplace

Posted by: , Posted on: - Categories: Artificial intelligence, Covid-19, Ethical innovation, Surveillance

This week we’re continuing our introductory series by looking at the use of social distancing wearables for the workplace. As a reminder, this blog is not designed to be exhaustive, and is based on a rapid review rather than the …