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[…] the advancement of science and healthcare improvements which are accomplished with de-identified data. Properly implemented de-identification complying with the HIPAA de-identification provisions goes a long way toward promoting such a reasonable balance, but I would suggest that there is still room for further improvements in this regard. Where Should We Go From Here? Perhaps […]

[…] high utility loss for QIs) Masking Obscure parts of data values (e.g., XXXX) Obscure direct identifiers Simple; Preserves format Limited privacy protection; Can reduce utility; Hard for free text Low (Insufficient for QIs in queries) Generalization Replace specific values with broader categories Reduce identifiability via QIs Basis for k-anonymity Significant utility loss, especially in […]

[…] with recognition “Breakfast brought to you by ” »Company name and logo displayed on signage at event »Recognition with company logo on invitations, event sites and on-site promotional materials »Official recognition of sponsor during Opening Remarks »Opportunity to provide (1) promotional item and (1) giveaway via QR code on breakfast tables. Must be approved […]

[…] Sponsorship include: » Company name, logo , and website link in event invitations »Official recognit ion during the Reception by FPF Leadership »Opportunity to pro vide (1) promotional item and (1) giveaway via QR code. Must be approved in advance by FPF Sponso rship Team »Prominent recog nition of name and logo on signage […]

[…] found that while many offer alternative legal bases for data processing, consent remains the most widely used, often due to its familiarity, despite known limitations. This resource provides an updated view of evolving consent requirements and alternative legal bases for data processing across key APAC jurisdictions: India, Vietnam, Indonesia, the Philippines, South Korea, and Malaysia.

[…] European Parliament and of the Council of 27 April 2016 on the protection of natural persons with regard to the processing of personal data and on the free movement of such data, and repealing Directive 95/46/EC (General Data Protection Regulation) (Text with EEA relevance). General Purpose AI Models AI Systems Concerning GPAI Models:• Develop detables technbtcal documentatbon oft the model and provbde bt to the AI ofce upon request. • Create documentatbon for your deployers who use the GPAI model to develop thebr own AI systems; • Implement polbcbes tbntended to respect EU copyrbght law; • Provbde a summary of the content use tto trabn the GPAI model Concerning GPAI Models posing ‘systemic risb(s)’:• perform model evaluatbons bn accordance wbth standardbzed protocols and tools rteflectbng stat-of-the-art; • assess and mbtbgate possbble system rbsks at the eu level; • keep track of, document, and report, wbthout undue delay, to the AI Ofce and natbonatl competent  authorbtbes as approprbate relevant bnformatbon about serbouts bncbdents and possbble corectbve measures to  […]

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