Brussels Privacy Symposium 2021 – The Age of AI Regulation: Global Strategic Directions
The 2021 Brussels Privacy Symposium is the fifth-annual academic program jointly presented by the Brussels Privacy Hub of Vrije Universiteit Brussel (VUB) and the Future of Privacy Forum (FPF) and is a global convening of practical, applicable, substantive privacy research and scholarship. On November 16, 2021, the Brussels Privacy Symposium, “The Age of AI Regulation: Global Strategic Directions”, will […]
Automation Without Artificial Intelligence? Understanding Robotic Process Automation
Robotic Process Automation (RPA) is the automation of office processes through the development of robots or more specifically, software applications, which fully or partially automate office tasks normally performed by humans. RPA is proposed to provide several benefits including gains in accuracy, efficiency, and speed as well as freeing workers from tedious tasks to focus […]
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.
UNDERSTANDING DIGITAL DATA FLOWS: FUNDAMENTALS OF AI GOVERNANCE
Click here to learn more about FPF’s Understanding Digital Data Flows trainings.
Adding Age to AI
Working together, FPF and AARP have launched a project to evaluate the risks and benefits for older adults in a digital world.
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 […]
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 […]
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.
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, […]
Artificial Intelligence: Privacy Promise or Peril?
Understanding AI and its underlying algorithmic processes presents new challenges for privacy officers and others responsible for data governance in companies ranging from retailers to cloud service providers. In the absence of targeted legal or regulatory obligations, AI poses new ethical and practical challenges for companies that strive to maximize consumer benefits while preventing potential harms.