This paper distinguishes between proven fact and speculation, and illustrates how facial recognition technology (FRT) can have markedly different implications for society depending on the type of system and the reasons for its use.

Using machine learning, online targeting systems predict what content is most likely to interest people, and influence people to behave in a particular way. This research report shows that people welcome the convenience these systems offer, but express concern when they learn about the systems’ prevalence, sophistication and impact.

This paper summarises the use of analytics and algorithms for policing within England and Wales, and explores different types of bias that can arise during the product lifecycle. The findings are based on in-depth consultation with police forces, civil society organisations, academics and legal experts.

The use of smart speakers, or voice assistants, like Alexa, Siri, Cortana and Google Assistant has soared. With concerns about smart speakers regularly generating public attention, this exploration of the relevant issues is particularly timely.

This paper examines the potential use cases of AI across the insurance industry, compares these with the reality of how AI is used today, and explores the arguments for and against such applications, looking in particular at the ethical concerns associated with data collection and sharing (which AI requires).