Posts by Brenda Leong

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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. 

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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, […]

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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.

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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.

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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.

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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.

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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.