Understanding the Data Flows and Privacy Risks of Brain-Computer Interfaces.
Future of Privacy Forum
The Future of Privacy Forum has conducted a new analysis that resulted in this Report presenting an overview of the regulatory strategies of DPAs for 2021-2022.
The report from the Future of Privacy Forum (FPF) provides recommendations to address the privacy risks of augmented reality (AR) and virtual reality (VR) technologies.
Read the policy brief to learn about the challenges associated with defining location data, when location data is considered “personal” data, and the specific legal protections for location data in the United States and around the world.
Report identifies cases decided at the national level by Data Protection Authorities and Courts, as well as CJEU on the “legitimate interests” ground.
The Principles have been designed to drive responsible data use by those businesses and on-line platforms developing and using facial recognition technology in commercial settings.
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.
This short whitepaper aims to create the beginnings of a framework for best practices standards by focusing on specific privacy and security vulnerabilities within ML systems. At present, we view these vulnerabilities as warning signs—either of a future in which the benefits of ML are not fully embraced, or a future in which ML’s liabilities […]
This guide explains the technological basics of AI and ML systems at a level of understanding useful for non-programmers, and addresses certain privacy challenges associated with the implementation of new and existing ML-based products and services.