The Spectrum of AI: Companion to the FPF AI Infographic
This paper outlines the spectrum of AI technology, from rules-based and symbolic AI to advanced, developing forms of neural networks, and seeks to put them in the context of other sciences and disciplines, as well as emphasize the importance of security, user interface, and other design factors.
Automated Decision-Making Systems: Considerations for State Policymakers
In legislatures across the United States, state lawmakers are introducing proposals to govern the uses of automated decision-making systems (ADS) in record numbers. In contrast to comprehensive privacy bills that would regulate collection and use of personal information, automated decision-making system (ADS) bills in 2021 specifically seek to address increasing concerns about racial bias or […]
5 Highlights from FPF’s “AI Out Loud” Expert Panel
On Wed., April 14th, FPF hosted an expert panel discussion on “AI Out Loud: Representation in Data for Voice-Activated Devices, Assistants.” FPF’s Senior Counsel and Director of AI and Ethics, Brenda Leong, moderated the panel featuring Anne Toth, the Director of Alexa Trust, Amazon; Irina Raicu, Internet Ethics Program Director, Markkula Center for Applied Ethics, […]
FPF Submits Feedback and Comments on UNICEF’s Draft Policy Guidance on AI for Children
Last week, FPF submitted feedback and comments to the United Nations Children’s Fund (UNICEF) on the Draft Policy Guidance on Artificial Intelligence (AI) for Children, which seeks “to promote children’s rights in government and private sector AI policies and practices, and to raise awareness of how AI systems can uphold or undermine children’s rights.” The […]
It’s Raining Privacy Bills: An Overview of the Washington State Privacy Act and other Introduced Bills
By Pollyanna Sanderson (Policy Counsel), Katelyn Ringrose (Christopher Wolf Diversity Law Fellow) & Stacey Gray (Senior Policy Counsel) Today, on the first day of a rapid-fire 2020 legislative session in the state of Washington, State Senator Carlyle has introduced a new version of the Washington Privacy Act (WPA). Legislators revealed the Act during a live press […]
New White Paper Provides Guidance on Embedding Data Protection Principles in Machine Learning
Immuta and the Future of Privacy Forum (FPF) today released a working white paper, Data Protection by Process: How to Operationalise Data Protection by Design for Machine Learning, that provides guidance on embedding data protection principles within the life cycle of a machine learning model. Data Protection by Design (DPbD) is a core data protection requirement […]
New White Paper Explores Privacy and Security Risk to Machine Learning Systems
FPF and Immuta Examine Approaches That Can Limit Informational or Behavioral Harms WASHINGTON, D.C. – September 20, 2019 – The Future of Privacy Forum (FPF) released a white paper, WARNING SIGNS: The Future of Privacy and Security in an Age of Machine Learning, exploring how machine learning systems can be exposed to new privacy and […]
Warning Signs: Identifying Privacy and Security Risks to Machine Learning Systems
FPF is working with Immuta and others to explain the steps machine learning creators can take to limit the risk that data could be compromised or a system manipulated.
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.
FPF Letter to NY State Legislature
On Friday, June 14, FPF submitted a letter to the New York State Assembly and Senate supporting a well-crafted moratorium on facial recognition systems for security uses in public schools.