Overcoming Hurdles to Effective Data Sharing for Researchers
In 2021, challenges faced by academics in accessing corporate data sets for research and the issues that companies were experiencing to make privacy-respecting research data available broke into the news. With its long history of research data sharing, FPF saw an opportunity to bring together leaders from the corporate, research, and policy communities for a conversation […]
“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 […]
Event Report from DigitalxADB: Driving Digital Development across Asia and the Pacific
On October 27, the Future of Privacy Forum (FPF)’s Asia-Pacific office and the Asian Development Bank (ADB) co-hosted an online event titled, “Trade Offs or Synergies? Data Privacy and Protection as an Engine of Data Driven Innovation” in the context of DigitalxADB. This edition was the third in ADB’s series of annual knowledge-sharing events for representatives of ADB’s […]
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 […]
Five Things Lawyers Need to Know About AI
Lawyers are trained to respond to risks that threaten the market position or operating capital of their clients. However, when it comes to AI, it can be difficult for lawyers to provide the best guidance without some basic technical knowledge. This article shares some key insights from our shared experiences to help lawyers feel more at ease responding to AI questions when they arise.
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.