FPF Archive

FPF Submits Comments Regarding Data Protection & COVID-19 Ahead of National Committee on Vital and Health Statistics Hearing
The Blog

September 10, 2020 | Pollyanna Sanderson

FPF Submits Comments Regarding Data Protection & COVID-19 Ahead of National Committee on Vital and Health Statistics Hearing

Yesterday, FPF submitted comments to the National Committee on Vital and Health Statistics (NCVHS) ahead of a Virtual Hearing of the Subcommittee on Privacy, Confidentiality, and Security on September 14, 2020.  The hearing will explore considerations for data collection and use during a public health emergency, in light of the deployment of new technologies for […]

New FPF Study: More Than 250 European Companies are Participating in Key EU-US Data Transfer Mechanism
The Blog

July 14, 2020 | Jeremy Greenberg

New FPF Study: More Than 250 European Companies are Participating in Key EU-US Data Transfer Mechanism

Co-Authored by: Drew Medway & Jeremy Greenberg European Companies’ Participation in Privacy Shield Up Nearly 30% from the Past Year. EU-US Privacy Shield Remains Essential to Leading European Companies. From Major Employers such as Logitech and Siemens to Leading Technology Firms like Telefónica and SAP, European Companies Depend on the EU-US Agreement. The Privacy Shield […]

Supreme Court Rules that LGBTQ Employees Deserve Workplace Protections–More Progress is Needed to Combat Unfairness and Disparity
The Blog

June 15, 2020 | Katelyn Ringrose

Supreme Court Rules that LGBTQ Employees Deserve Workplace Protections–More Progress is Needed to Combat Unfairness and Disparity

Authors: Katelyn Ringrose (Christopher Wolf Diversity Law Fellow) and Dr. Sara Jordan (Policy Counsel, Artificial Intelligence and Ethics) Today’s Supreme Court ruling in Bostock v. Clayton County—clarifying that Title VII of the Civil Rights Act bans employment discrimination on the basis of sexual orientation and gender identity—is a major victory in the fight for LGBTQ […]

TEN QUESTIONS ON AI RISK
The Blog

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.

Newly Released COVID-19 Privacy Bills Would Regulate Pandemic-Related Data
The Blog

May 15, 2020 | FPF Staff

Newly Released COVID-19 Privacy Bills Would Regulate Pandemic-Related Data

By Pollyanna Sanderson (Policy Counsel), Stacey Gray (Senior Policy Counsel) & Katelyn Ringrose (Christopher Wolf Diversity Law Fellow) Yesterday afternoon, leading House and Senate Democrats introduced the Public Health Emergency Privacy Act. The Democratic-led bill, which was introduced by Senators Blumenthal and Warner, as well as Representatives Eshoo, Schakowsky and DelBene, follows the May 10th […]

Artificial Intelligence and the COVID-19 Pandemic
The Blog

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 […]

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

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.

Digital Deep Fakes
The Blog

August 15, 2019 | Brenda Leong

Digital Deep Fakes

The media has recently labeled manipulated videos of people “deepfakes,” a portmanteau of “deep learning” and “fake,” on the assumption that AI-based software is behind them all. But the technology behind video manipulation is not all based on deep learning (or any form of AI), and what are lumped together as deepfakes actually differ depending on the particular technology used. So while the example videos above were all doctored in some way, they were not all altered using the same technological tools, and the risks they pose – particularly as to being identifiable as fake – may vary. 

Understanding Artificial Intelligence and Machine Learning
The Blog

May 20, 2019 | Brenda Leong

Understanding Artificial Intelligence and Machine Learning

The opening session of FPF’s Digital Data Flows Masterclass provided an educational overview of  Artificial Intelligence and Machine Learning – featuring Dr. Swati Gupta, Assistant Professor in the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Tech; and Dr. Oliver Grau, Chair of ACM’s Europe Technology Policy Committee, Intel Automated Driving Group, […]