Data Privacy Day 2022
Data Privacy Day is held annually on January 28, a day to internationally promote best practices surrounding consumer privacy and data protection. Join FPF in recognizing this significant day by sharing the importance of data privacy. Data Privacy Day Snapchat Lens FPF partnered with the photo-sharing app Snapchat to create a privacy-themed lens exclusively for […]
Addressing the Intersection of Civil Rights and Privacy: Federal Legislative Efforts
Last month, the National Telecommunications and Information Administration (NTIA) hosted virtual listening sessions on the intersection of data privacy, equity, and civil rights. Around the same time, the FTC announced that they will begin rulemaking on discriminatory practices in automated decision making, and currently, an influx of state legislation containing civil rights provisions have been […]
12th Annual Privacy Papers for Policymakers Awardees Explore the Nature of Privacy Rights & Harms
The winners of the 12th annual Future of Privacy (FPF) Privacy Papers for Policymakers Award ask big questions about what should be the foundational elements of data privacy and protection and who will make key decisions about the application of privacy rights. Their scholarship will inform policy discussions around the world about privacy harms, corporate […]
“Are crumbles all that remains of the cookies?” A conversation on the future of ad tech at the Nordic Privacy Arena 2021
On September 27 and 28, 2021, the Swedish Data Protection Forum (Forum för Dataskydd) hosted the 2021 edition of the Nordic Privacy Arena (“Operationalising Data Privacy – Challenges, best practices, and success stories”) in Stockholm, Sweden. This hybrid event brought together privacy practitioners, watchdogs, and academics to debate some of the most pressing issues regarding […]
Organizations must lead with privacy and ethics when researching and implementing neurotechnology: FPF and IBM Live event and report release
A New FPF and IBM Report and Live Event Explores Questions About Transparency, Consent, Security, and Accuracy of Data The Future of Privacy Forum (FPF) and the IBM Policy Lab released recommendations for promoting privacy and mitigating risks associated with neurotechnology, specifically with brain-computer interface (BCI). The new report provides developers and policymakers with actionable […]
Data Sharing … By Any Other Name
There are many different uses of the term “data sharing” to describe a relationship between parties who share data from one organization to another organization for a new purpose. Some uses of the term data sharing are related to academic and scientific research purposes, and some are related to transfer of data for commercial or government purposes. ..it is imperative that we are more precise which forms of sharing we are referencing so that the interests of the parties are adequately considered, and the various risks and benefits are appropriately contextualized and managed.
Future of Privacy Forum Releases Student Monitoring Explainer
On October 27, FPF released a new infographic, “Understanding Student Monitoring,” depicting the variety of reasons why schools monitor student digital activities, what types of student data are being monitored, and how that data could be used. While student monitoring is not new, it has gained significant traction recently due to the shift to remote learning […]
Event Report: From “Consent-Centric” Frameworks to Responsible Data Practices and Privacy Accountability in Asia Pacific
On September 16, the Asia-Pacific office of the Future of Privacy Forum (FPF) held its first event following its launch in August 2021. This event was hosted by the Personal Data Protection Commission (PDPC) of Singapore during the very popular “Personal Data Protection week” (PDP Week 2021). The theme of the event was Exploring trends: […]
Brain-Computer Interfaces: Privacy and Ethical Considerations for the Connected Mind
BCIs are computer-based systems that directly record, process, analyze, or modulate human brain activity in the form of neurodata that is then translated into an output command from human to machine. Neurodata is data generated by the nervous system, composed of the electrical activities between neurons or proxies of this activity. When neurodata is linked, or reasonably linkable, to an individual, it is personal neurodata.