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FPF Training Program 2024 – Fundamentals of AI & Machine Learning (Topic Page)
[…] machine learning 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[s] 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 […]
Comprehensive Privacy Anchors in the Ocean State
[…] Practices” Obligation for a Narrow Set of Businesses The RIDTPPA includes a unique, prescriptive privacy notice obligation, which has two subcomponents. First, any “commercial website” or internet service provider (ISP) who (1) conducts business in Rhode Island, (2) has customers in Rhode Island, or (3) is otherwise subject to Rhode Island jurisdiction must “designate […]
Generative AI for Organizational Use: Internal Policy Considerations
[…] trust. Generative AI uses have proliferated since the technology’s emergence, transforming how we interact, work, and make decisions. From drafting emails and computer code to performing customer service functions, these technologies have made significant progress. However, as generative AI continues to advance and find new applications, it is essential to consider how the internal […]