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The use of algorithms in the content moderation process

Posted by: , Posted on: - Categories: Algorithms, Artificial intelligence, Covid-19, Misinformation

Algorithms play an essential role in moderating content on social media platforms. They can be used to identify material that has already been banned, as well as detect previously unseen forms of misinformation, by identifying signals that are indicative of …

The European Commission’s Artificial Intelligence Act highlights the need for an effective AI assurance ecosystem

Posted by: , Posted on: - Categories: Artificial intelligence, Responsible innovation

The European Commission released its highly anticipated Artificial Intelligence (AI) Act on 21 April 2021. It represents the most ambitious attempt to regulate AI technologies to date, setting out a cross-sectoral regulatory approach to the use of AI systems across …

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 …

Building on pandemic prompted data-driven innovation in local government

Posted by: , Posted on: - Categories: Covid-19, Data, Data-driven technology, Responsible innovation

Today the CDEI publishes its report on local government use of data during the COVID-19 pandemic.  The report draws together the findings of a forum discussion hosted last year with local authority representatives, and is supplemented by individual interviews and …

An overview of the CDEI's review into bias in algorithmic decision-making

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

This report draws together the findings and recommendations from a broad range of work. We have focused on the use of algorithms in significant decisions about individuals, looking across four sectors (recruitment, financial services, policing and local government), and making cross-cutting recommendations that aim to help build the right systems so that algorithms improve, rather than worsen, decision-making.