Privacy in the age of data: Regulation for human rights and the economy
The Friends of Europe recently released a discussion paper, ‘Policy choices for a digital age – taking a whole economy, whole society approach’ at the closing plenary of the European Commission co-organised Net Futures 2017 conference in Brussels.
Meet FPF's 2017 Summer Interns!
We are pleased to introduce FPF’s 2017 Summer Interns. FPF interns work with policy staff on a range of substantive projects. They perform research and craft analysis regarding the intersection of privacy and emerging technologies, including: connected cars, the Internet of Things, education technologies, smart communities, de-identification, advertising technology, biometrics, and genetic analysis.
Various other interesting info
Research Professor Mireille Hildebrandt, from Vrije Universiteit Brussels, published open access the paper “Privacy as the Protection of the Incomputable Self: Agonistic Machine Learning“, where she argues, using law, philosophy and insights from computer science, that “in the era of big data analytics we need an understanding of privacy that is capable of protecting what […]
DPAs/Enforcement
Investigations, sanctions CNIL publicly served a formal notice to WhatsApp, claiming the lack of legal basis for the company transferring data to Facebook after its acquisition. CNIL is the latest DPA that went after connected toys (“My friend Cayla” and “I-que”). It served a “formal notice to cease serious breach of privacy due to lack […]
ePrivacy Reg
The Council published a full text of the ePrivacy draft Regulation, as it stands right now. Be aware that this is not the final version adopted by the Council, but only the current version being discussed. The Register published an interview with Birgit Sippel, the MEP Rapporteur for the ePrivacy Regulation, where she criticizes the […]
Case-law (CJEU, ECHR, national courts)
CJEU The CJEU decided in Case C-434/16 Nowak that the written answers to a test, as well as the examiner’s comments on those answers, are personal data of the person who takes the test. However, the questions of the test are not personal data (this may result in a situation where a person receives a […]
Article 29 Working Party/European Data Protection Board
Guidance, Opinions The Article 29 Working Party published new guidance on data processing in a work environment: Opinion 2/2017. The Opinion makes a new assessment of the balance between legitimate interests of employers and the reasonable privacy expectations of employees by outlining the risks posed by new technologies. Among other observations, the Group underlines that consent is […]
Privacy Scholarship Research Reporter: Issue 2, July 2017 – Artificial Intelligence and Machine Learning: The Privacy Challenge
Notes from FPF Building on our first issue, which discussed the various privacy challenges related to algorithmic accountability, Future of Privacy Forum’s Privacy Scholarship Reporter now turns its focus to thoughtful, academic considerations of the privacy challenges, and ethical data use considerations, of AI and Machine Learning. Artificial Intelligence is perhaps easier to intuitively grasp […]
Infographic: Data and the Connected Car – Version 1.0
On June 27, 2017, the Future of Privacy Forum released an infographic, “Data and the Connected Car – Version 1.0,” describing the basic data-generating devices and flows in today’s connected vehicles. The infographic will help consumers and businesses alike understand the emerging data ecosystems that power incredible new features—features that can warn drivers of an accident before they see it, or jolt them awake if they fall asleep at the wheel.
Future of Privacy Forum Releases "Data and the Connected Car" Infographic in Advance of FTC & NHTSA Workshop
Washington, DC – Today, the Future of Privacy Forum released an infographic, “Data and the Connected Car – Version 1.0.,” describing the basic data-generating devices and flows in today’s connected vehicles. The infographic will help consumers and businesses alike understand the emerging data ecosystems that power incredible new features—features that can warn drivers of an accident before they see it, or jolt them awake if they fall asleep at the wheel.