FPF Archive

Artificial Intelligence: Privacy Promise or Peril?
The Blog

February 20, 2019 | Brenda Leong

Artificial Intelligence: Privacy Promise or Peril?

Understanding AI and its underlying algorithmic processes presents new challenges for privacy officers and others responsible for data governance in companies ranging from retailers to cloud service providers. In the absence of targeted legal or regulatory obligations, AI poses new ethical and practical challenges for companies that strive to maximize consumer benefits while preventing potential harms.

FPF Partner in algoaware Project Releases State of the Art Report
The Blog

December 7, 2018 | Brenda Leong

FPF Partner in algoaware Project Releases State of the Art Report

algoaware has released the first public version of the State of the Art Report, open for peer review. The report includes a comprehensive explanation of the key concepts of algorithmic decision-making, a summary of the academic debate and its most pressing issues, as well as an overview of the most recent and relevant initiatives and policy actions of the civil society as well as of national and international governing bodies.

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

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.

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

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.

FPF Publishes Report Supporting Stakeholder Engagement and Communications for Researchers and Practitioners Working to Advance Administrative Data Research
The Blog

July 16, 2018 | Kelsey Finch

FPF Publishes Report Supporting Stakeholder Engagement and Communications for Researchers and Practitioners Working to Advance Administrative Data Research

The ADRF Network is an evolving grassroots effort among researchers and organizations who are seeking to collaborate around improving access to and promoting the ethical use of administrative data in social science research. As supporters of evidence-based policymaking and research, FPF has been an integral part of the Network since its launch and has chaired the network’s Data Privacy and Security Working Group since November 2017.

Taming The Golem: Challenges of Ethical Algorithmic Decision-Making
The Blog

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.