January 2020

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Award-Winning Papers: “Antidiscriminatory Privacy” and “Algorithmic Impact Assessments under the GDPR”

For the tenth year, FPF’s annual Privacy Papers for Policymakers program is presenting to lawmakers and regulators award-winning research representing a diversity of perspectives. Among the papers to be honored at an event at the Hart Senate Office Building on February 6, 2020 are two papers broadly addressing the impact of algorithms on transparency and […]

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Privacy 2020: 10 Privacy Risks and 10 Privacy Enhancing Technologies to Watch in the Next Decade

Today, FPF is publishing a white paper co-authored by CEO Jules Polonetsky and hackylawyER Founder Elizabeth Renieris to help corporate officers, nonprofit leaders, and policymakers better understand privacy risks that will grow in prominence during the 2020s, as well as rising technologies that will be used to help manage privacy through the decade. Leaders must understand […]

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Child Privacy Protections Compared: California Consumer Privacy Act v. Proposed Washington Privacy Act

As legislatures consider enacting broad consumer privacy legislation, officials must consider whether, and how, to address children’s and teen’s privacy. The leading models for addressing consumer privacy contain language addressing child privacy that differs in significant ways. Many states have introduced legislation that mirrors the framework of the California Consumer Privacy Act (CCPA). The proposed Washington Privacy Act (SB 6281) has also emerged as an influential framework. CCPA and SB 6281 differ in many respects, including with regard to child privacy. As described below, the frameworks take different approaches to the age of youth protected, the statutory knowledge standards, and the consumer rights granted. 

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Takeaways from the Understanding Machine Learning Masterclass

Yesterday, the Future of Privacy Forum provided bespoke training on machine learning as a side event during the Computers, Privacy and Data Protection Conference (CPDP2020) in Brussels. The Understanding Machine Learning masterclass is a training aimed at policymakers, law scholars, social scientists and others who want to more deeply understand the data-driven technologies that are front of mind for data protection […]

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A Privacy Playbook for Connected Car Data

Drivers and passengers expect cars to be safe, comfortable, and trustworthy. Individuals often consider the details of their travels—and the vehicles that take them between their home, the office, a hospital, their place of worship, or their child’s school—to be sensitive, personal data. The newest cars contain numerous sensors, from cameras and GPS to accelerometers […]

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Award-Winning Paper: “Privacy Attitudes of Smart Speaker Users”

For the tenth year, FPF’s annual Privacy Papers for Policymakers program is presenting to lawmakers and regulators award-winning research representing a diversity of perspectives, including those from students and academics. Among the papers to be honored at an event at the Hart Senate Office Building on February 6, 2020 is Privacy Attitudes of Smart Speaker […]

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The Future Is Now: FPF at CPDP2020

Computers, Privacy and Data Protection (CPDP) Conference 2020 commences next week in Brussels, bringing together academics, data protection authorities, policymakers, data scientists, and civil society to network, exchange ideas, and talk over the latest trends. Check out the panels and events FPF will be participating in below.  Algorithmic Regulation of Transportation Wednesday, January 22 at […]

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FPF Welcomes New Staff to Focus on Artificial Intelligence and Mobility

FPF is pleased to announce the addition of two new members to its team, Dr. Sara Jordan and Chelsey Colbert.  As individuals’ personal data is increasingly used by algorithmic systems that employ machine learning and artificial intelligence technologies, the benefits to consumers, businesses and society are evident, but so are the privacy risks. In her […]