Today, FPF announces the release of The Privacy Expert’s Guide to AI and Machine Learning. This guide explains the technological basics of AI and ML systems at a level of understanding useful for non-programmers, and addresses certain privacy challenges associated with the implementation of new and existing ML-based products and services.
Posts by Brenda Leong
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.
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.
Beyond Explainability aims to provide a template for effectively managing this risk in practice, with the goal of providing lawyers, compliance personnel, data scientists, and engineers a framework to safely create, deploy, and maintain ML, and to enable effective communication between these distinct organizational perspectives.
Today, the Partnership on AI announced a new group of key stakeholders who will work with the Partnership’s Board of Directors to define and advance a shared vision of artificial intelligence that benefits people and society. The Future of Privacy Forum is proud to join this organization and help drive this important work forward.
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.
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.
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.
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.
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.