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[…] tools were not designed with older adults or caregiving relationships in mind, and few provide clear information about how AI is used or how sensitive personal data feeds into machine learning systems. Without frameworks for trustworthiness and subsequent trust from older adults and caregivers, the gap between innovation and accountability will continue to grow, […]

[…] year, surgery dates) Government-released health data, claimed anonymous, was re-identifiable. Browsing History / Social Media  Web Browsing History Assumed de-identified (focus on linking) Linkage Attack Social Media Feeds (e.g., Twitter) Unique patterns of link clicking in browsing history mirror unique social feeds, enabling linkage. Genomic Beacons (Various studies) Aggregate Genomic Data (allele presence/absence) Query […]

[…] records PERSONAL MEDICAL DEVICES Preventing attackers from accessing or disabling insulin pumps or cochlear implants Home Security Systems Preventing criminals from bypassing digital locks or intercepting video feeds. FINANCIAL TRANSACTIONS Ensuring access to accounts and blocking fraudulent transactions FITNESS TRACKERS Preventing apps from leaking personal health information ONLINE REPUTATION Protecting social media accounts from […]

[…] records PERSONAL MEDICAL DEVICES Preventing attackers from accessing or disabling insulin pumps or cochlear implants Home Security Systems Preventing criminals from bypassing digital locks or intercepting video feeds. FINANCIAL TRANSACTIONS Ensuring access to accounts and blocking fraudulent transactions FITNESS TRACKERS Preventing apps from leaking personal health information ONLINE REPUTATION Protecting social media accounts from […]

[…] algorithms that incorporate a user’s personal information as defined in COPPA. This category appears to be narrower than New York’s SAFE for Kids Act, which would limit feeds which rank or suggest content based on any information associated with a user or user’s device. Prohibition on Targeted Advertising Finally, the COPPA 2.0 portion of […]

[…] interest in PETs has increased not only through extensive research but also in practice. For instance, federated learning and multi-party computation have proven to be useful when feeding machine learning models with on-device user data to improve digital services and products, without transferring the data to a central server. Public and private sector players […]

[…] AADC’s “materially detrimental” standard is interpreted, the law’s language could be construed as applying to design features far beyond consent, such as algorithmically-selected content, music and video feeds, and other core features of child-directed services.  Child and privacy advocates view robust regulation of manipulative design as a critical component of laws, such as the […]

[…] › 360° Surround View Some dashcams provide a 360° view around the vehicle. These multi-camera systems may be placed on various parts of the vehicle and stitch feeds together to generate a complete view around the vehicle. › Parking Mode Dashcams with this feature go into hibernation when the vehicle is parked. They ‘wake […]

[…] to analyze the future of the market. It does this by discussing five identified market trends and seven implications for future competition in privacy tech. This then feeds into the final report discus- sions which offer recommendations. Five Market Trends Buyers desire “enterprise-wide solutions.” Prod- ucts that work across all parts of their organization […]

[…] process laws typically regard the home as sacrosanct, requir-ing consent or a warrant before entry or internal surveillance. [FN280] If, however, the government can access Herb’s sensor feeds in real time or from remote storage, then his introduction into the home may threaten longstanding protec-tions. [FN281] Moreover, at least one study has shown vulnerabilities […]