This guidance discusses the right of access in detail. Read it if you have detailed questions not answered in the […]
In its assessment of existing liability regimes in the wake of emerging digital technologies, the New Technologies Formation of the […]
The EDPS considers that respect for personal data is wholly compatible with responsible research. Data protection is intended to serve […]
The primary purpose of this document is to provide manufacturers with guidance on how to fulfil all the relevant essential requirements of cybersecurity.
The paper provides clear instructions on how to fulfill the DPbD obligation and how to build a DPbD strategy in line with data protection principles.
Norwegian data protection authority – Datatilsynet – has published a guidance on Software development with Data Protection by Design and by Default.
This report looks at emerging technologies, such as artificial intelligence (‘AI’), blockchain, and adtech in context of GDPR.
This report aims to shed some light on what the data-protection-by-default principle means in information technology design.
ENISA undertook a study to support SME’s on how to adopt security measures for the protection of personal data, following a risk-based approach.
This guide is designed to help brand marketers and their agencies identify the opportunities that artificial intelligence
and machine learning present.
The guidance sets out key principles to follow and steps to take when explaining AI-assisted decisions — including in relation to different types of AI algorithms — and the policies and procedures that organizations should consider putting in place.