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[…] of personal data caused by the epidemic should not go beyond what is necessary for the management of suspected exposure to the virus, especially considering that the Code of Public Health is also applicable to this situation. On the blacklist of processing activities, the CNIL specifies that “employers must refrain from collecting in a […]

[…] Turning the Tables: Academics in the Hot Seat Wednesday, January 22 at 16:00, Grande Halle  In numerous privacy and data protection conferences and workshops, academics moderate discussions between policymakers, regulators and industry players. Academics are tough inquisitors and harsh critics, pointing out the shortcomings of legislation, the slow turn of the wheels of justice, […]

[…] their child’s school. The FTC may potentially require increased transparency or notice to assuage these worries. We also noticed several recurring themes throughout the workshop: The tension between child-directed content and “child-attractive” or child-appropriate content and what that means under COPPA; The misconceptions surrounding the meaning of “actual knowledge” and COPPA’s “product improvement” exception; […]

[…] and signed by the governor if the amendments are “consistent with and further the purpose and intent” of the Act. Next Steps According to the California Elections Code (ELECT CA ELEC § 9002), the California Attorney General will hold a 30-day review process and public comment period, followed by five additional days for proponents […]

[…] compromised or a system manipulated.” The white paper presents a layered approach to data protection in machine learning, including recommending techniques such as noise injection, inserting intermediaries between training data and the model, making machine learning mechanisms transparent, access controls, monitoring, documentation, testing, and debugging. “Privacy or security harms in machine learning do not […]

Machine learning (ML) is a powerful tool, providing better health care, safer transportation, and greater efficiencies in manufacturing, retail, and online services. That’s why FPF is working with Immuta and others to explain the steps machine learning creators can take to limit the risk that data could be compromised or a system manipulated. Today, […]

[…] faked, a circumstance described as having “the potential to disrupt every facet of our society.” From the mass market of news and viral memes to the exchanges between individuals or businesses, bad actors will be able to create fake videos (and other media) with the intent to harm personal, political, economic, and social rivals. […]

[…] Future of Privacy Forum has launched the Corporate-Academic Data Stewardship Research Alliance, a peer-to-peer network of private companies who share the goal of facilitating privacy-protective data sharing between businesses and academic researchers. The work of the Alliance builds upon the 2017 FPF report, Understanding Corporate Data Sharing Decisions: Practices, Challenges, and Opportunities for Sharing […]

[…] data privacy. Amidst these debates, the Networking Advertising Initiative (NAI), the leading self-regulatory body for online advertising technology (ad tech) providers, announced a major update to its Code of Conduct on May 14, 2019. The revised 2020 Code of Conduct officially expands the scope of the NAI Code to a broader range of products […]

[…] and how it can affect discussions about privacy, technology, and ethics going forward. You spent over a decade with Israel’s Privacy Protection Authority. What are some differences between privacy law in Israel and the U.S.? Unlike the U.S., which doesn’t have a comprehensive, national privacy law, Israel passed a law in 1981. Additionally, Israel […]