With Algorithmic Accountability, Different Remedies Bear Different Costs for Consumers

Automated systems and decision making have transformed the ways in which our data is processed and analysed and, accordingly, how companies are able to use it. There are fears that data can be used to discriminate against vulnerable users in ways which are ‘unaccountable’. In this post, Seeta Peña Gangadharan, Acting Director of the LSE Media Policy Project, outlines some tools available to allow users greater control over how their data is used and argues that, too often, the burden lies with the consumer rather than the companies designing these automated systems.