The Guide to Data as a Critical Asset takes a unique view of data.
accountability
Framework is created to improve the general literacy of automated or algorithmic decision-making with clear information and practical steps for civil servants and ministers to support the agenda and provide appropriate challenge.
Organisations had two years to prepare for GDPR compliance in the run-up to May 25, 2018. Now that the GDPR is in force, what will Regulators want to see? The question is no longer theoretical. The Dutch DPA recently announced an investigation into 30 large organisations regarding their GDPR compliance and at the outset will […]
The report took a broader look into data protection engineering to support practical implementation of technical aspects of data protection by design and by default.
EDPB released draft guidelines on the interplay between GDPR Article 3 (territorial scope) and Chapter V (restrictions on international data transfers).
Understanding the Data Flows and Privacy Risks of Brain-Computer Interfaces.
Assessing the ethical aspects of biometric recognition and behavioural detection techniques with a focus on their current and future use in public spaces.
This white paper elaborates on these conclusions, explains what we learned from the survey, and makes a number of recommendations based both on CIPL’s earlier policy work on accountability and the responses to the survey.
The aim of this paper is to analyse the national Member States’ laws that have implemented the GDPR in the field of automated decision-making.
Framework addresses the need for a set of concrete guidelines to ensure the trustworthy and safe use of this technology.