About this Issue

FPF Release: The Privacy Expert’s Guide to AI And Machine Learning
Spotlight

October 18, 2018 | Brenda Leong

FPF Release: The Privacy Expert’s Guide to AI And Machine Learning

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.

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What's Happening: Algorithms

FPF Receives Grant To Design Ethical Review Process for Research Access to Corporate Data
Top Story

October 15, 2019 | Brenda Leong

FPF Receives Grant To Design Ethical Review Process for Research Access to Corporate Data

Future of Privacy Forum (FPF) has received a grant to create an independent party of experts for an ethical review process that can provide trusted vetting of corporate-academic research projects. FPF will establish a pool of respected reviewers to operate as a standalone, on-demand review board to evaluate research uses of personal data and create a set of transparent policies and processes to be applied to such reviews.

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Warning Signs: Identifying Privacy and Security Risks to Machine Learning Systems
Nothing to Hide: Tools for Talking (and Listening) About Data Privacy for Integrated Data Systems
Top Story

October 31, 2018 | Kelsey Finch

Nothing to Hide: Tools for Talking (and Listening) About Data Privacy for Integrated Data Systems

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.

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