Posts by Brenda Leong

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FPF Releases Understanding Facial Detection, Characterization, and Recognition Technologies and Privacy Principles for Facial Recognition Technology in Commercial Applications

These resources will help businesses and policymakers better understand and evaluate the growing use of face-based biometric technology systems when used for consumer applications. Facial recognition technology can help users organize and label photos, improve online services for visually impaired users, and help stores and stadiums better serve customers. At the same time, the technology often involves the collection and use of sensitive biometric data, requiring careful assessment of the data protection issues raised. Understanding the technology and building trust are necessary to maximize the benefits and minimize the risks.

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FPF Launches AI and Machine Learning Working Group and Releases New AI Resource Guides

FPF has convened a leading group of its members to consider priority areas for technologies and companies to address ML privacy and ethics concerns. Our AI and Machine Learning Working Group, composed of FPF member companies with an interest in AI and Machine Learning privacy and data management challenges, meets monthly to discuss various relevant issues regarding new updates, hear from experts regarding AI in the EU and under GDPR, the occurrence and defense against bias, and other timely topics.

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AI Ethics: The Privacy Challenge

The Future of Privacy Forum and the Brussels Privacy Hub of the Vrije Universiteit Brussel (VUB) are partnering with IEEE Security & Privacy in a call for papers focused on AI Ethics: The Privacy Challenge. Selected papers will be featured at The Brussels Privacy Symposium, an academic program jointly presented by the Brussels Privacy Hub of the VUB and FPF’s National Science Foundation supported Research Coordination Network.

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FPF Supports the Email Privacy Act – H.R. 387

Yesterday, Congress introduced the Email Privacy Act (H.R. 387), which would update protections in the Electronic Communications Act (ECPA) to take account of citizens’ evolving use of technology and better align the law with consumers’ reasonable expectations of privacy in the contents of their email communications.

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Seven Basic Security Checks for Evaluating Educational Platforms

FPF has produced a checklist to assist parents and schools in considering the “basics” of security standards on new ed tech products and services they may be considering or using. In on-line security, there is unfortunately no “one size fits all” solution, but with so many products and services available, this checklist is designed to provide some initial key triggers of areas that either meet a basic threshold, or might serve as discussion points for further review with the company involved.

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FPF Guide to Student Data Protections Under SOPIPA: For K-12 School Administrators and Ed Tech Vendors

We are pleased to announce that we are publishing the FPF Guide to Student Data Protections Under SOPIPA: For K-12 School Administrators and Ed Tech Vendors. Co-written with education privacy experts Linnette Attai of PlayWell LLC, Amelia Vance of the National Association of State Boards of Education, and David B. Rubin, Esq., this document provides a in-depth analysis for ed tech companies.

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FPF Commends New America’s Report on Predictive Analytics in Higher Education

New America released a report today that addresses the use of data in higher ed analytics – predicting student outcomes and managing university academic programs based on prior data. The growing ability to gather and analyze this data allows colleges to intervene with students struggle, put in place mentoring programs, create support structures addressing “whole student” welfare, ultimately improving academic outcomes and graduation rates.

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Enhancing Usability for Online Privacy Controls

Today, Google announced new features that provide users with additional customized options and controls over personal data, as well as easy-to-follow instructions and notifications that explain users’ choices in simple terms. The new features make privacy controls quicker to find and easier to understand and operate.

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Student data privacy: Moving from fear to responsible use

Data has always been an inherent part of the educational process – a child’s age, correlated with her grade level, tracked to specific reading or math skills that align with that grade, measured by grades and tests which rank her according to her peers. Today this data is ever more critical.