FPF Archive

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.

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 Releases Understanding Facial Detection, Characterization, and Recognition Technologies and Privacy Principles for Facial Recognition Technology in Commercial Applications
The Blog

September 20, 2018 | Brenda Leong

FPF Releases Understanding Facial Detection, Characterization, and Recognition Technologies and Privacy Principles for Facial Recognition Technology in Commercial Applications

These resources will help businesses and policymakers better understand and evaluate the growing use of face-based biometric technology systems when used for consumer applications. Facial recognition technology can help users organize and label photos, improve online services for visually impaired users, and help stores and stadiums better serve customers. At the same time, the technology often involves the collection and use of sensitive biometric data, requiring careful assessment of the data protection issues raised. Understanding the technology and building trust are necessary to maximize the benefits and minimize the risks.

FPF Launches AI and Machine Learning Working Group and Releases New AI Resource Guides
The Blog

August 21, 2018 | Brenda Leong

FPF Launches AI and Machine Learning Working Group and Releases New AI Resource Guides

FPF has convened a leading group of its members to consider priority areas for technologies and companies to address ML privacy and ethics concerns. Our AI and Machine Learning Working Group, composed of FPF member companies with an interest in AI and Machine Learning privacy and data management challenges, meets monthly to discuss various relevant issues regarding new updates, hear from experts regarding AI in the EU and under GDPR, the occurrence and defense against bias, and other timely topics.

Policy Brief: European Commission’s Strategy for AI, explained
The Blog

July 19, 2018 | Gabriela Zanfir-Fortuna

Policy Brief: European Commission’s Strategy for AI, explained

The European Commission published a Communication on “Artificial Intelligence for Europe” on April 24th 2018. It highlights the transformative nature of AI technology for the world and it calls for the EU to lead the way in the approach of developing AI on a fundamental rights framework. AI for good and for all is the motto the Commission proposes. The Communication could be summed up as announcing concrete funding for research projects, clear social goals and more thinking about everything else.

Artificial Intelligence, Machine Learning, and Ethical Applications
The Blog

September 20, 2017 | John Verdi

Artificial Intelligence, Machine Learning, and Ethical Applications

On September 25, 2017, the Future of Privacy Forum and the Information Accountability Foundation will co-host an official side event at the International Conference of Data Protection Commissioners. The event follows IAF’s publication of Artificial Intelligence, Ethics and Enhanced Data Stewardship, and FPF’s curation of leading research highlighting the privacy challenges posed by artificial intelligence.