FPF and Privacy Analytics Identify “A Practical Path Toward Genetic Privacy”
Paper highlights de-identification standards, re-identification research, and emerging technical, contractual, and policy protections that can safeguard genetic data while supporting research. Genomic data is arguably the most personal of all personally identifiable information (“PII”). Techniques to de-identify genomic data to limit privacy and security risks to individuals–while that data is used for research and statistical […]
FPF Offers New Resources on Privacy and Pandemics
Today, the Future of Privacy Forum (FPF) released a collection of new publications and resources to help governments, educators, researchers, companies, and other organizations navigate essential privacy questions regarding the response to the coronavirus pandemic. Global leaders responding to the coronavirus pandemic are increasingly relying on data from individuals and communities to analyze the virus’ […]
Privacy and Pandemics: A Thoughtful Discussion
As the COVID-19 virus spreads, governments, researchers, and healthcare institutions are seeking to obtain and deploy consumer data to track the spread of the virus, deliver emergency supplies, target travel restrictions and quarantines, and develop vaccines and cures. But can data collected from phones, credit cards, and other sources be used in this emergency without […]
Privacy and Pandemics
Global leaders are increasingly relying on information about individuals and communities to fight the spread of COVID-19 and respond to its economic, political, social, and health impacts. Time is of the essence, and leaders must quickly navigate essential questions about what personal information they will collect or disclose, to whom, and under what conditions. It […]
A Closer Look at Location Data: Privacy and Pandemics
In this series, Privacy and Pandemics, the Future of Privacy Forum explores the challenges posed by the COVID-19 crisis to existing ethical, privacy, and data protection frameworks, and will seek to provide information and guidance to companies and researchers interested in responsible data sharing to support public health response. Future posts will examine pandemic-tracking mobile […]
A Closer Look at Genetic Data Privacy and Nondiscrimination in 2020
Florida lawmakers recently introduced HB 1189/SB 1564 – a bill that would prohibit life and long-term care insurers from basing coverage and rates or denying coverage based on individuals’ genetic information. Washington State lawmakers are considering a bill, HB 2485, that would prohibit life insurance companies and others from obtaining individuals’ genetic information from direct-to-consumer […]
EDPB Draft Guidelines on Connected Cars Focus on Data Protection by Design and Push for Consent
By Gabriela Zanfir-Fortuna and Chelsey Colbert The European Data Protection Board recently published its draft Guidelines 1/2020 on processing personal data in the context of connected vehicles and mobility related applications, which are open for feedback until March 20. The EDPB writes that the main challenge for complying with European data protection and privacy laws […]
The 10th Annual Privacy Papers for Policymakers Event
The Future of Privacy Forum’s 10th annual Privacy Papers for Policymakers event was a hit! This year’s event featured a keynote speech by FTC Commissioner Christine S. Wilson and facilitated discussions between the winning authors – Ignacio Cofone, Neil Richards, Margot Kaminski, Gianclaudio Malgieri, Arunesh Mathur, and Paul Ohm – and policy and regulatory staff, […]
Call for Public Comments: Resources for Companies Sharing Personal Data with Academic Researchers
In June 2019, FPF launched the Corporate-Academic Data Stewardship Research Alliance, a peer-to-peer network of private companies that share the goal of facilitating privacy-protective data sharing between businesses and academic researchers. The Alliance has worked to support data sharing efforts, help address and mitigate challenges that create barriers to sharing, and promote responsible and privacy-protective […]
Takeaways from the Understanding Machine Learning Masterclass
Yesterday, the Future of Privacy Forum provided bespoke training on machine learning as a side event during the Computers, Privacy and Data Protection Conference (CPDP2020) in Brussels. The Understanding Machine Learning masterclass is a training aimed at policymakers, law scholars, social scientists and others who want to more deeply understand the data-driven technologies that are front of mind for data protection […]