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

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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If privacy principles are from Venus, then engineering rules are from Mars
Taming The Golem: Challenges of Ethical Algorithmic Decision-Making
Top Story

March 2, 2018 | FPF Staff

Taming The Golem: Challenges of Ethical Algorithmic Decision-Making

This article examines the potential for bias and discrimination in automated algorithmic decision-making. As a group of commentators recently asserted, “[t]he accountability mechanisms and legal standards that govern such decision processes have not kept pace with technology.” Yet this article rejects an approach that depicts every algorithmic process as a “black box” that is inevitably plagued by bias and potential injustice.

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