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FPF Highlights Intersection of AI, Privacy, and Civil Rights in Response to California’s Proposed Employment Regulations
[…] § 11546.45.51 “High-risk automated decision system” means an automated decision system that is used to assist or replace human discretionary decisions that have a legal or similarly significant effect, including decisions that materially impact access to, or approval for, housing or accommodations, education, employment, credit, health care, and criminal justice. Assembly Bill 2930 A […]
Singapore’s PDP Week 2024: FPF highlights include a hands-on workshop on practical Generative AI governance and a panel on India’s DPDPA
[…] discussions on data protection issues arising from new and emerging technologies, including generative AI. Below is a comprehensive summary of our participation and key takeaways from these significant engagements. 1. FPF, with the support of PDPC, hosted a hands-on workshop to equip regional privacy professionals with practical knowledge on the complexities of generative AI […]
Contextualizing the Kids Online Safety and Privacy Act: A Deep Dive into the Federal Kids Bill
[…] U.S. Senate passed the Kids Online Safety and Privacy Act (KOSPA) by a vote of 91-3. KOSPA is a legislative package that includes two bills that gained significant traction in the Senate in recent years—the Kids Online Safety Act (KOSA), which was first introduced in 2022, and the Children and Teens Online Privacy Protection […]
Final-Privacy-Principles-Edits-2
[…] reasonable limitations on use in contract language, Ø P roviding companies with model language for physical location signage or inclusion in their privacy notices, Ø R ecommending sign age if the facial recognition technology will be deployed in public places; and , Ø R ecommending other reasonable efforts to promote provision of clear, meaningful […]
FPF Samsara Video-Based VSS Whitepaper PRINT R1 wBleed
[…] and collisions. Road-facing and dual-facing cameras (recording the road ahead and the driver in-cab) can help drivers actively avoid collisions by enhancing the field of view and signaling alerts to drivers in real-time when the systems detect external safety issues or distracted driving behaviors in the cab.” 4 In recent years, even basic vehicle […]
Connecting Experts to Make Privacy-Enhancing Tech and AI Work for Everyone
[…] If you’re a subject matter expert on PETs or use PETs and want to contribute to their future use and regulation, we want to hear from you! Sign up here to be considered for the Expert or Regular Sub-Groups. For questions about the RCN, email [email protected]. The Research Coordination Network (RCN) for Privacy-Preserving Data […]
Reflections on California’s Age-Appropriate Design Code in Advance of Oral Arguments
[…] idea of certifying the question to the California Supreme Court was raised. The California AADC was the first of its kind in the U.S. and marked a significant development in youth privacy policy debates by mandating privacy by design and default for children under 18. Ahead of the oral arguments, this blog post provides […]
FPF Confidential Computing R3
[…] of hardware-based technologies that isolate data processing and provide technically-enforceable administrative safeguards for data while it is actively in use. Executive Summary C onfidential computing promises a significant shift in trustworthiness and verifiability of data processing for the use cases it supports, including training and use of artificial intelligence (AI) models. The technology allows […]
FPF EU AI Act Timeline July 24
[…] Purpose AI Model : An AI model, including where such an AI model is trained with a large amount of data using self-supervision at scale, that displays significant generality and is capable of competently performing a wide range of distinct tasks regardless of the way the model is placed on the market and that […]
Research Coordination Network for Privacy-Preserving Data Sharing and Analytics Focused on Artificial Intelligence
[…] Energy and National Science Foundation, FPF is building a Research Coordination Network (RCN) for Privacy-Preserving Data Sharing and Analytics running through June 2027. The RCN analyzes and promotes the trustworthy adoption of Privacy Enhancing Technologies (PETs) in the context of artificial intelligence (AI) and other key technologies. Our goal is to support the development, […]