The Algorithmic Impact Assessment (AIA) is a new concept for regulating algorithmic systems and protecting the public interest. This report maps the challenges of constructing AIAs and provides a framework for evaluating the effectiveness of current and proposed AIA regimes.

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 report examines the use of electronic monitoring in franchises and the difference in incentives between franchise models that resemble independent entrepreneurship versus employment. The author argues that franchising provides a useful lens for policymakers to think about how to assign legal rights and responsibilities in other areas where corporations have blurred the lines between...

This report breaks down four common 'healthy tech' myths, by explaining where they come from, what they obscure, and how we can move beyond them. Intended for those designing, developing and regulating emerging technologies, this resource provides teams with fresh ideas for how to analyse and improve user well-being.