Guide aims to provide the most hard-hitting results that reinforce and strengthen the core principles and standards of international law on surveillance.
Understanding the Data Flows and Privacy Risks of Brain-Computer Interfaces.
This paper outlines the spectrum of AI technology, from rules-based and symbolic AI to advanced, developing forms of neural networks.
In this paper we discuss why data minimization is key to protecting privacy and explain how it can reduce the harm of data collection and exploitation.
Privacy design strategies aim to translate vague legal norms in concrete design requirements. They provide talking points to explore the design of the system. They guide the initial design
sketches into a privacy-friendly direction, forcing one to make fundamental design choices early on.
This report aims to raise the awareness of the general audience and serve as a resource to policy shapers and practitioners in the public and private sectors to help frame the debate around data.