The aim of this study is to support meaningful reflection and productive debate about AI by providing accessible information about the full range of current and speculative techniques and their associated impacts, and setting out a wide range of regulatory, technological and societal measures that could be mobilised in response.
This study addresses the relationship between the General Data Protection Regulation (GDPR) and artificial intelligence (AI). The study carries out a thorough analysis of automated decisionmaking, considering the extent to which automated decisions are admissible, the safeguard measures to be adopted, and whether data subjects have a right to individual explanations
European Parliament’s Think Tank has published AI ethics. This study arrives at policy options for public administrations and governmental organisations who are looking to deploy AI/ML solutions, as well as the private companies who are creating AI/ML solutions for use in the public arena. The reasons for targeting this application sector concern: the need for […]
Centre for Information Policy Leadership (CIPL) submited this White Paper as input for the EDPB’s future guidelines on data subject rights (DSR). This Paper examines how these particular DSR should be applied in today’s global data driven and connected world to be effective. It does not directly cover the topics of transparency3 and the right […]
The guidance aims to help educate the digital advertising industry about: What ‘special category data’ is, as defined in the GDPR (including how it may arise from the way in which other data is processed) The legal provisions and requirements that apply to processing special category data Factors to consider in reviewing whether there is […]
This paper aims to offer suggestions as to how the GDPR can offer the strongest protections on profiling and automated decision-making for data subjects in Europe and beyond. After a brief introduction to profiling, automated decision-making and the harms it may create, it provides a set of recommendations for additional guidance, with a focus on […]
To get a better idea of the current state of facial recognition surveillance around the world, Surfshark compiled data on the status of facial recognition technology in 194 countries. Countries were assigned one of five statuses depending on how they have adopted facial recognition technology — in use, approved for use (not implemented), considering technology, […]