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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.” […]

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 […]

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 […]

NEW FPF REPORT: Confidential Computing and Privacy: Policy Implications of Trusted Execution Environments
[…] data localization. Ultimately, the usefulness, scale of impact, and regulatory compliance benefits of confidential computing depend on the specific configuration and management of the TEE and attestation service. Download the paper here for a more detailed discussion of confidential computing and how it differs from other PETs, as well as an in-depth analysis of […]

FPF Confidential Computing R3
[…] workloads or the underlying system and platform.” Intel “Confidential Computing offers a hardware-based security solution des igned to help protect data in use via unique application-isolation technology called a Trusted Execution Environment (TEE).” Confidential Computing Consortium “Confidential Computing is the protection of data in use by performing computation in a hardware-based, attested Trusted Execution […]

FPF EU AI Act Timeline July 24
[…] the measures pursuant to Regulation (EU) 2019/1020. (Art. 3(26)) National Competent Authority : A notifying authority or a market surveillance authority; as regards AI systems put into service or used by Union institutions, agencies, offices and bodies, references to national competent authorities or market surveillance authorities in this Regulation shall be construed as references […]

FPF Comment_DOT AI RFI
[…] 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 […]