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Algorithms

Helping recruiters to innovate responsibly with data-driven tools

Posted by: and , Posted on: - Categories: Algorithms, Data-driven technology, Trustworthy innovation

The use of data-driven tools is rising across the recruitment sector. The COVID-19 pandemic has heightened the need for effective and efficient digital tools in hiring as recruiters search for the highest calibre candidates in an increasingly virtual world. Companies …

The use of algorithms in the content moderation process

Posted by: and , 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 …

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 …

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.