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Types of assurance in AI and the role of standards

This is the third in a series of three blogs on AI assurance, which explore the key concepts and practical challenges for developing an AI assurance ecosystem. The first blog focused on current confusion around AI assurance tools and the …

The need for effective AI assurance

Data-driven technologies, such as artificial intelligence (AI), have the potential to bring about significant benefits for our economy and society. However, they also introduce risks that need to be managed.  As these technologies are more widely adopted, there is an …

Public Sector Equality Duty and bias in algorithms

Posted by: , Posted on: - Categories: Algorithms, Bias, Facial recognition technology

In our recently published review into bias in algorithmic decision-making, we explored the regulatory context in which algorithmic decisions take place, which includes equality law, human rights law, discrimination law and sector specific regulations.  The main piece of legislation that …

COVID-19 repository: Local government edition

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

The primary purpose of the majority of use-cases has been to support the local response and mitigate the effects of lockdown. However, we are starting to see examples of use-cases designed to build future resilience and aid the recovery; these have been particularly prominent in the transport sector. For example, the Commonplace Mapping Tool which allows users to highlight pinch points across Glasgow City Centre, where measures such as pavement widening and new cycle lanes could be introduced to help people maintain physical distancing. 

Surveying the landscape: COVID-19 repository

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

Although there are a number of entirely new uses of data and AI, approximately half of our April database relates to extension or pivots of existing activity to a new context, or a new synthesis of existing data sources. We would expect to see an increase in novel use-cases as time goes on, after further development and testing time. 

Public attitudes on the fair use of data and algorithms in finance

Posted by: , Posted on: - Categories: Algorithms, Bias, Data collection, Decision-making

Financial companies are increasingly using complex algorithms to make decisions regarding loans or insurance - algorithms that look for patterns in data which are associated with risks of default or high insurance claims. This raises risks of bias and discrimination …