The Future of Mobility in a Connected World: FPF’s Lauren Smith on Connected Cars, Data, and more
FPF is celebrating our tenth anniversary. In recognition of this milestone, FPF policy experts will be sharing their thoughts on FPF’s progress and the work ahead in a series of blogs over the coming weeks. Our 10th anniversary celebration will be on April 30. RSVP here. This week, Policy Counsel Lauren Smith discusses connected cars and […]
Spotlight on PPPM Finalist Judges (2018)
On December 17th, the Future of Privacy Forum announced the winners of the 2018 Privacy Papers for Policymakers Award. Each year, FPF awards the Privacy Papers for Policymakers Award to the authors of leading privacy research and analytical work that is relevant to policymakers in the United States Congress, at U.S. federal agencies, and for data […]
Privacy Papers 2018: Spotlight on the Winning Authors
Today, FPF announced the winners of the 9th Annual Privacy Papers for Policymakers (PPPM) Award. This Award recognizes leading privacy scholarship that is relevant to policymakers in the United States Congress, at U.S. federal agencies, and for data protection authorities abroad. From many nominated privacy-related papers published in the last year, five were selected by Finalist […]
The HIPAA Privacy Rule 15 Years Later: What’s Next?
On December 4th, FPF, Intel, and Duke in DC hosted “The HIPAA Privacy Rule 15 Years Later: What’s Next?” The event brought together stakeholders across the health data ecosystem to explore the current challenges related to the Health Information Portability and Accountability Act (HIPAA) Privacy Rule. Specifically, the discussion focused on solutions to mitigate restrictions to data sharing in clinical care and research due to administrative burdens, while at the same time maintain the privacy of protected health information (PHI).
AI and Machine Learning: Ethics, Governance, and Compliance Resources
The legal and regulatory landscape for AI and ML systems is changing rapidly. The list of resources here reflects the leading thinking from academics, regulatory agencies, and on-going projects and studies to provide the best guidance to commercial and public entities on implementing AI into their products and services. I. General AI & Ethics Resources […]
Privacy Best Practices for Consumer Genetic Testing Services
The Best Practices provide a policy framework for the collection, protection, sharing, and use of Genetic Data generated by consumer genetic testing services. These services are commonly offered to consumers for testing and interpretation related to ancestry, health, nutrition, wellness, genetic relatedness, lifestyle, and other purposes.
FPF Testifies Before Federal Commission on School Safety
John Verdi, the Future of Privacy Forum’s Vice President of Policy, testified today before the Federal Commission on Student Safety meeting, “Curating a Healthier & Safer Approach: Issues of Mental Health and Counseling for Our Young.”
Ensuring School Safety While Also Protecting Privacy: FPF Testimony Before the Federal Commission on School Safety
Amelia Vance, FPF’s Director of Education Privacy, spoke today at the Federal Commission on Student Safety’s Listening Session. She asked that any Commission recommendations include the need for privacy “guardrails” around school safety measures to ensure that student privacy and equity are protected.
Seeing the Big Picture on Smart TVs and Smart Home Tech
CES 2018 brought to light many exciting advancements in consumer technologies. Without a doubt, Smart TVs, Smart Homes, and voice assistants were dominant: LG has a TV that rolls up like a poster; Philips introduced a Google Assistant-enabled TV is designed for the kitchen; and Samsung revealed its new line of refrigerators, TVs, and other home devices powered by Bixby, their intelligent voice assistant.
If You Can't Take the Heat Map: Benefits & Risks of Releasing Location Datasets
Strava’s location data controversy demonstrates the unique challenges of publicly releasing location datasets (open data), even when the data is aggregated.