The playbook addresses vital steps for data management, sharing, and program execution between companies and researchers.
Report aims to explore how the data protection by design and by default obligation breaks down in practice.
Organizations in the EU have been hesitant to track DEI policies due to a misconception that this is a violation of the GDPR.
Report outlines how national courts and Data Protection Authorities (DPAs) in the EU/EEA and UK have interpreted GDPR provisions on automated decisionmaking.
This article looks at different approaches taken by EU data protection authorities (DPAs) in dealing with GDPR fines.
Privacy metrics have emerged as a key measure to improve privacy program performance and maturity in terms of customer trust, risk mitigation, and business enablement.
This whitepaper shows that in fact machine learning (ML) and data protection requirements, including principles like data minimization, are compatible.
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.