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[…] Using a researcher-friendly version of Empatica’s E4 device that prevents the collection of geolocation data, IP address, or mobile International Mobile Equipment Identity (IMEI) identifiers. Using QR codes to link participants to specific wearable devices to ensure that participant names and study record IDs would not be shared. Learn more about the project, including […]

[…] all plans, processes, and frameworks throughout the research collaboration. Use Technology to Enhance Privacy. The Stanford research team and Empatica took advantage of technology, where possible, to promote privacy throughout the project. Stanford employed QR codes to prevent the need to share participant identifiers, including names and study record IDs, with Empatica. Use Privacy-Protective […]

[…] health information. Using a researcher-friendly device, Empatica’s E4, that prevents the collection of geolocation data, IP address, or mobile International Mobile Equipment Identity (IMEI) identifiers. Using QR codes to link participants to specific wearable devices to ensure that participant names and study record IDs would not be shared. “A large part of our job […]

[…] goal is to balance consumer privacy interests against concerns about practical business compliance. Further research might include, for example, a review of Congressional histories, or learning from other, non-privacy federal laws. We welcome feedback on the Discussion Draft. Read the next blog in this series: Navigating Preemption through the Lens of Existing State Privacy Laws.

[…] liability and regulation of publishers of digital content have generated significant debate since their release in February 2021. The Information Technology (Intermediary Guidelines and Digital Media Ethics Code) Rules, 2021 (the Rules) have: recast the conditions to obtain ‘safe harbour’ from liability for online intermediaries, and  unveiled an extensive regulatory regime for a newly […]

[…] and operate “Iruda.” Therefore, PIPC determined that ScatterLab processed the user’s personal information beyond the purpose of collection. In addition, ScatterLab posted its AI models on the code sharing and collaboration platform Github from October 2019 to January 2021, which included 1,431 KakaoTalk messages revealing 22 names (excluding last names), 34 locations (excluding districts […]

[…] The definitions of these three types of data mirror similar definitions in other Chinese laws or draft laws currently being considered for adoption, such as the Civil Code and, respectively, the Personal Information Protection Law and the Cybersecurity Law. Consistency across these laws indicates a harmonization of China’s emerging data governance regulatory model.  Obligations […]

[…] religion, health conditions, or other highly personal information). In some cases, non-sensitive data can act as a “proxy” for sensitive information (such as the use of zip code as a proxy for race). Data may also be obtained from sources of varying quality, accuracy, or ethical collection, for example: public records, government collection, regulated […]

We are thrilled to announce two new members of FPF’s Youth & Education Privacy team. The new staff – Joanna Grama and Jim Siegl – will help expand FPF’s technical assistance and training, resource creation and distribution, and state and federal legislative tracking. You can read more about Joanna and Jim below. Please join us in […]

[…] privacy-enhancing technologies.  “We hope this non-profit/law firm partnership to advance diversity in the TMT is the first of many,” said Rudy Brioche, Diversity Pipeline Committee Co-Chair.  “We welcome the opportunity to work with other non-profits as we expand the program next Fall for the 2022 Summer Internship Program.”  focused student sitting on stairs using […]