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FPF Perspective: Limit Law Enforcement Access to Genetic Datasets

Today, researchers published a paper detailing how governments can use public genetic databases to identify criminal suspects. These activities raise real questions about when it’s appropriate for law enforcement to analyze genetic information, and how best to protect individuals whose genetic data has been analyzed as part of a commercial service, but who are not accused of a crime.

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FPF Releases Understanding Facial Detection, Characterization, and Recognition Technologies and Privacy Principles for Facial Recognition Technology in Commercial Applications

These resources will help businesses and policymakers better understand and evaluate the growing use of face-based biometric technology systems when used for consumer applications. Facial recognition technology can help users organize and label photos, improve online services for visually impaired users, and help stores and stadiums better serve customers. At the same time, the technology often involves the collection and use of sensitive biometric data, requiring careful assessment of the data protection issues raised. Understanding the technology and building trust are necessary to maximize the benefits and minimize the risks.

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FPF Launches Virtual Privacy Book Club

We are pleased to announce the launch of our Privacy Book Club! The FPF Privacy Book Club will provide members the opportunity to read a wide range of books — privacy, data, ethics, academic works, and other important data relevant issues — and have an open discussion of the selected literature.

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September 24th in Detroit, MI: Data and Privacy for Autonomous Vehicles

Autonomous vehicles are positioned to transform the future of mobility—a change enabled by new on-board sensors that collect and transmit growing types and quantities of data. While the existence of data in vehicles is not entirely new, autonomous vehicles promise an explosion in the variety, connectivity, volume of such data—raising new and unique considerations around what happens with it. As the automotive industry becomes more data-driven, getting consumer privacy right will become increasingly important.

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FPF Launches AI and Machine Learning Working Group and Releases New AI Resource Guides

FPF has convened a leading group of its members to consider priority areas for technologies and companies to address ML privacy and ethics concerns. Our AI and Machine Learning Working Group, composed of FPF member companies with an interest in AI and Machine Learning privacy and data management challenges, meets monthly to discuss various relevant issues regarding new updates, hear from experts regarding AI in the EU and under GDPR, the occurrence and defense against bias, and other timely topics.