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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.

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FPF Welcomes Inaugural Elise Berkower Memorial Fellow

Earlier this year, FPF launched a new fellowship in memory of Elise Berkower. Elise was a senior privacy executive at global measurement and data analytics company Nielsen for nearly a decade and was a valued, longtime member of the FPF Advisory Board. FPF graciously acknowledges the Berkower Family and the Nielsen Foundation as founding sponsors of the Elise Berkower Memorial Fellowship

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Future of Privacy Forum and Leading Genetic Testing Companies Announce Best Practices to Protect Privacy of Consumer Genetic Data

Washington, DC – Today, Future of Privacy Forum, along with leading consumer genetic and personal genomic testing companies 23andMe, Ancestry, Helix, MyHeritage, and Habit, released 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.

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FPF Publishes Report Supporting Stakeholder Engagement and Communications for Researchers and Practitioners Working to Advance Administrative Data Research

The ADRF Network is an evolving grassroots effort among researchers and organizations who are seeking to collaborate around improving access to and promoting the ethical use of administrative data in social science research. As supporters of evidence-based policymaking and research, FPF has been an integral part of the Network since its launch and has chaired the network’s Data Privacy and Security Working Group since November 2017.