This report argues that policy-makers must build robust data protections that empower workers, not just consumers, and also broaden their understanding of algorithmic harms beyond bias and discrimination.

This report identifies three major digital barriers to economic justice arising from the COVID-19 pandemic—the collapse of benefits automation, expanded workplace and school surveillance, and the digital profiling of economic distress. The report uses a data justice framework to suggest how policy-makers might mitigate the harms experienced by low-socioeconomic status communities.

This review focused on the use of algorithms in significant decisions about individuals. The review looks at the use of algorithmic decision-making in four sectors (policing, local government, financial services and recruitment) and makes cross-cutting recommendations that aim to help build the right systems so that algorithms improve, rather than worsen, decision-making.

This report explores how the problem of algorithmic bias can arise in decision making that uses artificial intelligence (AI). This problem can produce unfair and potentially unlawful decisions.

The coronavirus pandemic is the most significant crisis governments have faced in generations. Digital technology has helped the UK government to manage many of the issues, and has enabled a more effective response than would have been otherwise possible. This report assesses the factors that contributed to the successes and failures of digital government during...