Data-driven and evidence-based social policy innovation can help governments serve communities better, smarter, and faster. Integrated Data Systems (IDS) use data that government agencies routinely collect in the normal course of delivering public services to shape local policy and practice. They can use data to evaluate the effectiveness of new initiatives or bridge gaps between public services and community providers.
Washington, DC – Today, Future of Privacy Forum and Actionable Intelligence for Social Policy released Nothing to Hide: Tools for Talking (and Listening) About Data Privacy for Integrated Data Systems. Nothing to Hide provides governments and their partners working to integrate data for policy and program improvement with the necessary tools to lead privacy-sensitive, inclusive engagement efforts. In addition to a narrative step-by-step guide to communication and engagement on data privacy, the toolkit is supplemented with action-oriented appendices, including worksheets, checklists, exercises, and additional resources.
We are excited to share The Known Citizen: A History of Privacy in Modern America by Professor Sarah E. Igo was chosen as the popular favorite by our readers. We are also excited that Professor Igo will be joining us for the December book club to introduce her book and answer questions.
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.
FPF’s CEO, Jules Polonetsky, recently published an opinion piece in The Hill that discussed the need for comprehensive federal privacy legislation.
Today, researchers published a paper detailing how governments can use public genetic databases to identify criminal suspects. These activities raise real questions about when it’s appropriate for law enforcement to analyze genetic information, and how best to protect individuals whose genetic data has been analyzed as part of a commercial service, but who are not accused of a crime.