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[…] trend to modernize their regulatory approach, several of them proposing sandboxes (e.g., the CNIL and the Norwegian DPA), and pushing for more self-regulation, like the adoption of Codes of Conduct. DPAs also plan on dedicating efforts to make GDPR compliance work in practice on a large scale by targeting the empowerment of DPOs and […]

[…] Over time, many of its legislative efforts have been very influential and become law in the United States — for instance, the ULC drafted the Uniform Commercial Code in 1952. More recently, the ULC drafted the Uniform Fiduciary Access to Digital Assets Act (2014-15), which has been adopted in at least 46 states. The […]

[…] 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 […]

[…] 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 […]

[…] which includes: Data on the flow of people and vehicles in important sensitive areas such as military management zones, national defense science and industry units involving state secrets, and party and government agencies at or above the county level; Surveying and mapping data higher than the accuracy of the publicly released maps of the […]

[…] 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 […]

[…] they were collected. The 2020 Amendments and amended PPC Rules model the pseudonymization process on anonymization, requiring the removal of any (i) description, (ii) unique ‘personal identification code’ (as defined in the APPI), and (iii) information relating to the processing method performed to enable the removal of (i) and (ii) above. The immediate result […]