This whitepaper shows that in fact machine learning (ML) and data protection requirements, including principles like data minimization, are compatible.
An oberview of role, tasks and requirements towards data protection officers (DPO) under EU General Data Protection Regulation (GDPR).
This paper aims to contribute to the ongoing assessment in the EU and globally of the unprecedented risks posed by this type of surveillance technology.
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.
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.
The Paper identifies the challenges faced by the One-Stop-Shop (“OSS”), and proposes possible solutions to improve the OSS mechanism.
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.
The book explores practical implementation of consent mechanisms as they create benchmarks, best practices, and effective mechanisms in the digital arena.