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[…] that is currently law in Maryland and several sectoral laws); and reasonable expectations (the approach taken by California). This rise of substantive data minimization rules raises a number of challenges and unresolved questions, which are explored in Part II. Some of these questions include the role of consent, what is a “requested” product or […]

[…] Age-Appropriate Design Code Act (S.69). Download the Chart Two visions of scope Each AADC’s scope turns on two key provisions – business thresholds tied to revenue and number of affected users, and an applicability standard based on either audience composition or “knowedge” of minor users on the service. Business thresholds Both the Nebraska and […]

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[…] collection, use, and onward transfer of body-related data. DECEMBER 2023 RISK FRAMEWORK FOR BODY-RELATED DATA IN IMMERSIVE TECHNOLOGIES MONTHLY SPENDING LOANt$2600$1200 $ Privacy PolicyWe will share:Name Account Number Account Balance Loan Information Transaction Data Tax Forms AGREE PAYMENTS$120$30$60$30 Bank LoginEmailPasswordAUTHENTICATE PAYMENTS WEALTH MANAGEMENT ACCOUNT SERVICES$ SIGN UP CREATE ACCOUNT EMAILPASSWORD Hmm…this page looks different. […]

[…] data. As amended, a controller now may not, in response to a consumer exercising their right to access their personal data, disclose the following information: social security number; government issued identification number (including driver’s license number); financial account number; health insurance account number or medical identification number; account password, security questions, or answer; or […]

[…] gender and 5-digit ZIP code—if, and this is a big “if”, they had also been in the GIC hospital data set. 5 Producing precise estimates of the number of individuals at potential risk of re-identification would require access to both the GIC hospital data and the 1996-97 age, gender and ZIP code stratified voter […]

[…] richness that makes search data valuable also makes it exceptionally sensitive and fraught with privacy risks. Search queries frequently contain explicit personal information such as names, addresses, phone numbers, or passwords, often entered inadvertently by users. Beyond direct identifiers, queries are laden with quasi-identifiers (QIs) – pieces of information that, while not identifying in […]

[…] support aging populations (“AgeTech”). AgeTech includes a wide range of applications and technologies, from fall detection devices and health monitoring apps to artificial intelligence (AI)-powered assistants. The number of seniors eighty-five and older is expected to nearly double by 2035 and nearly triple by 2060. This rapidly aging population presents complex challenges and opportunities, […]

[…] $5,000 for (3) months AUDIENCE Distribution list of 2,000 people, including corporate employees of 210+ FPF member companies. List includes senior level privacy executives from a significant number of Fortune 500 companies. Benefits of Sponsorship include: » C ompany name and logo included on LinkedIn Live promotional materials (LI posts, Twitter, a nd YouTube; […]

[…] $5,000 for (3) months AUDIENCE Distribution list of 2,000 people, including corporate employees of 210+ FPF member companies. List includes senior level privacy executives from a significant number of Fortune 500 companies. Benefits of Sponsorship include: » C ompany name and logo included on LinkedIn Live promotional materials (LI posts, Twitter, a nd YouTube; […]