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OT-FPF-comformity-assessments-ebook_update2
[…] AI system developed with a view to placing it on the market or putting it into service under its own name or trademark, whether for payment or free of charge” (Article 3(e)) 11. Even if the provider is not the designer/ developer of the system, they still need to make sure that requirements are […]
ICYMI: FPF Webinar Discussed The Current State of Kids’ and Teens’ Privacy
[…] in the online services their kids use. Still, it cannot be the entire solution, and parents will not always be able to make informed decisions. Children’s design codes are placing an emphasis on the design of online services to avoid placing an overwhelming burden on the shoulders of parents. This emphasis works productively in […]
FPF Youth Privacy Webinar – November 2023
[…] •Utah (SB 152)•Requires parental consent to minors’ use of social media and requires age verification government-issued ID•Other states: Mississippi (S 2346); Louisiana (H 77); Montana (S 544); Virginia (S 1515)PRIVILEGED AND CONFIDENTIAL10Age Verification Laws •Utah (SB 152)•Prohibits minors from accessing social media platforms between 10:30 pm and 6:30 amPRIVILEGED AND CONFIDENTIAL11Social Media Metering Laws […]
The Current State of Kids’ and Teens’ Privacy
[…] – more broadly – any internet services with kids or teens as part of their audience. This panel will explore the basic principles behind Age Appropriate Design Codes, the variations in youth privacy approaches, and how global organizations are approaching these issues. Join us for a discussion to uncover these emerging issues and their […]
Beth Do
Future of Privacy Forum and Leading Companies Release Best Practices for AI in Employment Relationships
[…] fitness for purpose; Organizations should implement AI governance frameworks informed by the NIST AI Risk Management Framework; Organizations should not claim that AI hiring tools are “bias- free;” and AI hiring tools should be designed and operated with informed human oversight and engagement. “When properly designed and utilized, AI must process vast amounts of […]
How Data Protection Authorities are De Facto Regulating Generative AI
[…] key area of concern, as well as putting in place mitigation and monitoring measures to ensure personal data generated through such tools are accurate, complete and up-to-date, free from discriminatory, unlawful, or otherwise unjustifiable effects. Other areas of concern mentioned were transparency to promote openness and explainability; production of technical documentation across the AI […]
Protected: Protected: U.S. Legislative Resources
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