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 […]
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 […]
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.
Click here to learn more about FPF’s Understanding Digital Data Flows trainings.
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 […]
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 […]
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.
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, […]
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.