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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 …

Privacy enhancing technologies for trustworthy use of data

Posted by: , Posted on: - Categories: Data, Data-sharing, Responsible innovation, Trust

The CDEI has been researching the role of privacy enhancing technologies (PETs) in enabling safe, private and trustworthy use of data. Privacy is a fundamental right. Organisations have an obligation to protect privacy, and must consider important legal, ethical, and …

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 …

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 …