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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, […]

[…] code of ethics , as there is necessary value from a technology-specific application. Consider the initial decision for adoption of any system as to whether it p romote s an overall social benefit – balanc ing the potential cost/risk to society against that benefit, then ensuring the advantages outweigh the risks, and that the […]

Recently, the Future of Privacy Forum and the Brookings Institution held a discussion session bringing together Hill staff, industry representatives and civil society groups. The conversation was guided by Cam Kerry of Brookings and Brenda Leong and John Verdi from FPF. Topics included whether AI and machine learning issues should be covered in a comprehensive […]

After beginning her career as a high school English teacher, Chanda Marlowe’s career change led her to become FPF’s inaugural Christopher Wolf Diversity Law Fellow. She’s an expert on location and advertising technology, algorithmic fairness, and how vulnerable populations can be uniquely affected by privacy issues. What led you to the Future of Privacy Forum? I […]

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.

As we prepare to toast our 10th anniversary, we’re hearing from FPF policy experts about important privacy issues. Today, Brenda Leong, FPF Senior Counsel and Director of Strategy, is sharing her perspective on AI and machine learning. Brenda also manages the FPF portfolio on biometrics, particularly facial recognition, and oversees strategic planning for the organization.Tell […]

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.

We look forward to working with Microsoft, others in industry, and policymakers to “create policies, processes, and tools” to make responsible use of Facial Recognition technology a reality.

Data-driven and evidence-based social policy innovation can help governments serve communities better, smarter, and faster. Integrated Data Systems (IDS) use data that government agencies routinely collect in the normal course of delivering public services to shape local policy and practice. They can use data to evaluate the effectiveness of new initiatives or bridge gaps between public services and community providers.

Data-driven and evidence-based social policy innovation can help governments serve communities better, smarter, and faster. Integrated Data Systems (IDS) use data that government agencies routinely collect in the normal course of delivering public services to shape local policy and practice. They can use data to evaluate the effectiveness of new initiatives or bridge gaps between public services and community providers.