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.
These Guidelines give general guidance on the obligation of Data Protection by Design and by Default set forth in Art. 25 GDPR.
This report explores further the basic notions of pseudonymisation, as well as technical solutions that can support implementation in practice.
This paper highlights the past, present and future applications of accountability in the context of the European digital policy agenda.