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Contextualizing the Kids Online Safety and Privacy Act: A Deep Dive into the Federal Kids Bill
[…] would establish a two-part threshold for when companies are required to comply with various data protection obligations, such as access, deletion, and parental consent, for when a service is “directed to children” or when services have “actual knowledge” that an individual is a child. However, KOSPA would modify the standard in a novel way: […]
Final-Privacy-Principles-Edits-2
[…] comparing the template generated from a submitted fac ial image with a specific known template generated from a previously enrolled fac ial image. This process is also called o ne – to – one verification, or authentication. 22 Based on National Science & Technology Council’s Subcommittee on Biometrics – Biometrics Glossary definition of “Template”: […]
FPF Training Program 2024 – Fundamentals of AI & Machine Learning (Topic Page)
[…] your team. With the increasing awareness of AI, especially generative AI, machine learning and AI are presenting new challenges for data governance in companies ranging from online service providers to retail. Generative AI can be considered a category of artificial intelligence that “generate new outputs based on the data they have been trained on.” […]
EU AI Act: A Comprehensive Implementation & Compliance Timeline
1970-01-01 01/01/1970 January 1, 70
Video-Based Vehicle Safety Systems: Lessons Learned from Commercial Fleets
1970-01-01 01/01/1970 January 1, 70
Repository for Privacy Enhancing Technologies (PETs)
[…] Paper on Big Data and Privacy Privacy principles under pressure in the age of Big Data analytics (2014) Sandboxes Regulatory Sandbox for AI & Data Protection (ongoing) Call for Contributions & Sandbox Justification (2023) – available in English FR, Commission Nationale Informatique & Libertés (CNIL): EdTech Sandbox Report (2022) – available in French Digital […]
FPF Comment_DOT AI RFI (1)
[…] E ne rg ie s ( M arc h 2 0 20 ), h ttp s:/ /d oi.o rg /1 0 .3 39 0 /e n13 0 614 73 ; O lg a A kse lr o d , H ow A rtifi cia l I n te llig ence C an D eep […]
Connecting Experts to Make Privacy-Enhancing Tech and AI Work for Everyone
[…] for public trust in PETs, highlighting that consumers are increasingly aware of privacy stakes and expect technologies to protect their data. They also reiterated the importance of centering public trust and consumer advocacy in these efforts. Supporting Additional Deployment The meeting concluded with a focus on the FPF RCN’s future direction, maintaining the need […]
Confidential Computing And Privacy: Policy Implications of Trusted Execution Environments
Confidential computing leverages two key technologies: trusted execution environments and attestation services. The technology allows organizations to restrict access to personal information, intellectual property, or sensitive or high-risk data through a secure hardware-based enclave or “trusted execution environment” (TEE). Economic sectors that have led the way in adopting confidential computing include financial services, healthcare, […]
Reflections on California’s Age-Appropriate Design Code in Advance of Oral Arguments
[…] The panel seemed skeptical of the State’s argument that the California AADC does not regulate content, particularly through the DPIA provisions concerning whether the design of a service could expose children to “harmful, or potentially harmful content” or lead to children “experiencing or being targeted by harmful, or potentially harmful, contacts.” While NetChoice conceded […]