Data Sharing for Research Tracker
By Shea Swauger and Hannah Babinski Version 1.0 (Updated March, 2025) The Data Sharing For Research Tracker is a growing list of organizations that make data available for researchers. This Tracker provides information about the available data, access restrictions, and relevant links and is intended to help researchers find data for secondary analysis. It also […]
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15 TH ANNUAL PRIVACY PAPERS FOR POLICYMAKERS 2024 15th Annual Privacy Papers for Policymakers 2024 1 March 12, 2025 We are pleased to introduce FPF’s 15th annual Privacy Papers for Policymakers. Each year we invite privacy scholars and authors to submit scholarship for consideration by a committee of reviewers and judges from the FPF Advisory […]
Chile’s New Data Protection Law: Context, Overview, and Key Takeaways
On August 26, 2024, the Chilean Congress approved Law 21.719, on the Protection of Personal Data (“LPPD”) after eight years of legislative debate. The legislation was published on December 13, 2024, and will become fully effective twenty-four months after that date (in December 2026). The LPPD was introduced in the Senate in 2017 to replace […]
FPF Submits Comments to the California Privacy Protection Agency on Proposed Rulemaking
On February 19, the Future of Privacy Forum (FPF) submitted comments to the California Privacy Protection Agency (CPPA) concerning draft regulations governing cybersecurity audits, risk assessments, automated decisionmaking technology (ADMT) access and opt-out rights under the California Consumer Privacy Act. We offer consideration and recommendations intended to strengthen the proposed regulations by reducing ambiguity and […]
FPF Comments on CPPA Draft Regulations 2025.02.19
F e b ru ary 19 , 20 25 C alif o rn ia Priv a cy Pro te ctio n Agency A ttn : Le g al Div is io n – Reg ula tio ns Pub lic Com m ent 2 10 1 Are na Blv d . S acra m ento , […]
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KNOWLEDGE ENGINEERING Rules based on human expertise KE NN NEURAL NETWORKSAlgorithms that mimic brain processing DEEP LEARNINGAdvanced neural networks for complex patterns DL MACHINE LEARNINGSystems learn without additional human programming ML EQUITY ETHICS TRANSPARENCY LOGIC FAIRNESS ANALYSIS MODELING RULES BASEDIf-then, rule- based AI RB GENERAL ADVERSARIAL NETWORKS Two networks create and critique data GAN GENERATIVE […]
FPF_spectrum_of_AI_in_EDU_Final_2-10-25
KNOWLEDGE ENGINEERING Rules based on human expertise KE NN NEURAL NETWORKSAlgorithms that mimic brain processing DEEP LEARNINGAdvanced neural networks for complex patterns DL MACHINE LEARNINGSystems learn without additional human programming ML EQUITY ETHICS TRANSPARENCY LOGIC FAIRNESS ANALYSIS MODELING RULES BASEDIf-then, rule- based AI RB GENERAL ADVERSARIAL NETWORKS Two networks create and critique data GAN GENERATIVE […]
Why data protection legislation offers a powerful tool for regulating AI
For some, it may have come as a surprise that the first existential legal challenges large language models (LLMs) faced after their market launch were under data protection law, a legal field that looks arcane in the eyes of those enthralled by novel Artificial Intelligence (AI) law, or AI ethics and governance principles. But data protection law […]
FPF Celebrates Safer Internet Day with Newly Released Encryption Infographic
Future of Privacy Forum (FPF) is thrilled to celebrate Safer Internet Day 2025 with the release of a new infographic, “Encryption Keeps Young People Safe.” Safer Internet Day is an annual event and part of a larger global mission to create a safer online environment, especially for young people. FPF’s new infographic explains how encryption […]
FPF Submits Letter to New York Governor Hochul on S929, the “New York Health Information Privacy Act”
The New York legislature passed S929, the New York Health Information Privacy Act (NYHIPA), on January 22. This bill has similar scope and scale as Washington State’s landmark My Health My Data Act (MHMD), with some key differences. The Future of Privacy Forum (FPF) submitted a letter to Governor Hochul’s office, highlighting certain ambiguities in […]