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Enabling trustworthy innovation to thrive in the UK

Posted by: , Posted on: - Categories: Artificial intelligence, Data, Trustworthy innovation

I’m delighted that DCMS have today announced the members of our refreshed advisory board and updated on the Centre’s remit going forward.  Since the CDEI was established in 2018, we have published internationally recognised research, including into two of the …

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 …

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 …