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.

Read More

What's Happening: Algorithms

TEN QUESTIONS ON AI RISK
Top Story

June 12, 2020 | Brenda Leong

TEN QUESTIONS ON AI RISK

Artificial intelligence and machine learning (AI/ML) generate significant value when used responsibly – and are the subject of growing investment for exactly these reasons. But AI/ML can also amplify organizations’ exposure to potential vulnerabilities, ranging from fairness and security issues to regulatory fines and reputational harm.

Read More
Artificial Intelligence and the COVID-19 Pandemic
Top Story

May 7, 2020 | Dr. Sara Jordan

Artificial Intelligence and the COVID-19 Pandemic

By Brenda Leong and Dr. Sara Jordan Machine learning-based technologies are playing a substantial role in the response to the COVID-19 pandemic. Experts are using machine learning to study the virus, test potential treatments, diagnose individuals, analyze the public health impacts, and more. Below, we describe some of the leading efforts and identify data protection […]

Read More
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.

Read More