CAV Merged Presentation Slides 6-25-20 copy-compressed
Digital Data Flows Masterclass #7:Connected and Autonomous VehiclesJune 25, 2020 Future of Privacy ForumOurMissionBridging the policymaker-industry-academic gap in privacy policyDeveloping privacy protections, ethical norms, & responsible business practices.OurWorkstreamsDe-identificationSmart CommunitiesYouth PrivacyAI & Machine LearningLocation & Ad TechInternet of ThingsBiometricsSupporters150+ Companies25+ Leading Academics15+ Advocates and Civil Society5Foundations Archived videos and Digital Data Flows Masterclass Series:1.Artificial Intelligence & […]
CAV Merged Presentation Slides 6-25-20
Digital Data Flows Masterclass # 7 : Connected and Autonomous Vehicles June 25, 2020 Future of Privacy Forum Our Mission Bridging the policymaker-industry-academic gap in privacy policy Developing privacy protections, ethical norms, & responsible business practices. Our Workstreams De-identification Smart Communities Mobility & Data Youth Privacy AI & Machine Learning Location & Ad Tech Internet […]
InformationPrivacyAct-June3-2020
Informatio n Privacy Act – June 3, 2020 1 Title: To provide individuals with foundational information privacy rights, create strong 1 accountability mechanisms, and establish meaningful enforce ment. 2 3 4 Be it enacted by the Senate and House of Representatives of the United States of America in 5 Congress assembled, 6 SECTION 1. SHORT […]
FPF_GDPR Report Final
THE GENERAL DATA PROTECTION REGULATION Analysis and Guidance for US Higher Education Institutions Author: Dr. Gabriela Zanfir-Fortuna, Senior Counsel, Future of Privacy Forum Editor: Ashleigh Imus MAY 2020 This guide is intended to help US- based higher-education institutions and their edtech service providers analyze and comply with Europe’s comprehensive data protection and privacy law, the […]
PPPM 2020 Digest
PRIVACY PAPERS FOR POLICYMAKERS 2019 This material is based upon work supported by the National Science Foundation under Grant No. 1837413. Privacy Papers for Policymakers 2019 1 Februar y 6, 2020 We are pleased to introduce FPF’s tenth annual Privacy Papers for Policymakers. Each year, we invite privacy scholars and authors to submit scholarship for […]
OtonomoPrivacyPaper
A Privacy Playbook for Connected Car Data WHITE PAPER WITH FOREWORD BY Connected cars: Ushering in a new era of transportation Today’s connected cars are becoming computers on wheels, generating d ata ranging from ambient air temperature and battery level to hard-braking events and roa d sign images, and a growing suite of services are further enhancing safety and conveni ence on the road. Experts predict that the transportation sector will change more in the n ext five years than in the previous 50 years, and we are just beginning to realize the profound impact that con- nected car data could have on drivers and society. Hundreds of use cases are now emerging around connected car data: Aggregate data is being used for trafc flow optimization, mapping and planning, r oad hazard identification, congestion management, predictive maintenance, location intelli- gence, and media measurement. Data from individual cars is being shared by drivers for services delivering roadside assistance, electric vehicle charging services, subscription-based fueli ng, usage-based insurance, remote diagnostics, trunk delivery by retailers, and parking payments. In the future, we will see: Vehicle-to-vehicle (V2V) communication, through which vehicles could signal their intent to each other, such as notifying several cars behind them of an unexpect ed hard-braking incident or electronically signaling a left turn. Vehicle-to-infrastructure (V2I) use cases, such as a vehicle reserving a parking space and parking itself or triggering a trafc light. These applications, as well as other applications, services, and crowdso urced insights, will make driving safer, more convenient, and more rewarding. In addition to providing benefits to individual drivers, they promise significant societal benefits, such as reducing congestion and […]
WhitePaper_DataProtectionByProcess
Data Protection by Process How to Operationalize Data Protection by Design for Machine Learning VERSION 1.0 DECEMBER 2019 Sophie Stalla-Bourdillon Senior Privacy Counsel & Legal Engineer, Immuta Alfred Rossi Research Scientist, Immuta Gabriela Zanfir-Fortuna Senior Counsel, Future of Privacy Forum REPORT BY: Content Introduction 3 What is Data Protection by Design? 4 The DPbD Workflow […]
COPPA Rule Review – FPF Comments
1 Comments from to Federal Trade Commission December 11, 2019 COPPA Rule Review 16 CFR part 312 Project No. P195404 Sara Collins , Policy Counsel , Education & Youth Privacy John Verdi, Vice President of Policy The Future of Privacy Forum 1400 I St. NW Ste. 450 Washington, DC 20005 www.fpf.org 2 On behalf of […]