In the News

|

Immuta and the Future of Privacy Forum Release First-Ever Risk Management Framework for AI and Machine Learning  

College Park, MD – June 26, 2018 – Immuta and the Future of Privacy Forum (FPF) today announced the first-ever framework for practitioners to manage risk in artificial intelligence (AI) and machine learning (ML) models. Their joint whitepaper, Beyond Explainability: A Practical Guide to Managing Risk in Machine Learning Models, provides business executives, data scientists, and compliance professionals with a strategic guide for governing the legal, privacy, and ethical risks associated with this technology.

|

New Future of Privacy Forum Study Finds the City of Seattle’s Open Data Program a National Leader in Privacy Program Management

Today, the Future of Privacy Forum released its City of Seattle Open Data Risk Assessment. The Assessment provides tools and guidance to the City of Seattle and other municipalities navigating the complex policy, operational, technical, organizational, and ethical standards that support privacy-protective open data programs.

|

EDPS Highlights EU-US Privacy Engineering Workshop

Details on the EU-US privacy engineering workshop were published in European Data Protection Supervisor’s latest newsletter. This workshop was organized by the Internet Privacy Engineering Network (IPEN), Future of Privacy Forum, KU Leuven and Carnegie Mellon University, on November 10, in Leuven.

|

John Verdi Talks Connected Devices with Fox 2 St. Louis

“What data is being transmitted and what data is being used really depends on the device,” Verdi said. “They can offload that information from the device to servers on the internet that are either controlled by the companies or third parties and there’s some processing that can happen there.”

|

New Study: Companies are Increasingly Making Data Accessible to Academic Researchers, but Opportunities Exist for Greater Collaboration

Washington, DC – Today, the Future of Privacy Forum released a new study, Understanding Corporate Data Sharing Decisions: Practices, Challenges, and Opportunities for Sharing Corporate Data with Researchers. In this report, FPF reveals findings from research and interviews with experts in the academic and industry communities. Three main areas are discussed: 1) The extent to which leading companies make data available to support published research that contributes to public knowledge; 2) Why and how companies share data for academic research; and 3) The risks companies perceive to be associated with such sharing, as well as their strategies for mitigating those risks.