These case studies explore how machine learning is being used in the workplace in twenty-first century Britain. The cases are hypothetical, involving fictional companies, decision-makers, and technical details, but they are based on existing research and real-world use cases. The case studies are designed to develop public understanding of how machine learning is used in the workplace, identify key question sand advance policy response in ways that would not otherwise be possible.
The case studies were first developed to support the work of the Equality Task Force. The final report of the Task Force was published in October 2020 and can be found on the IFOW website.