Posts by FPF Staff

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Unfairness By Algorithm: Distilling the Harms of Automated Decision-Making

Analysis of personal data can be used to improve services, advance research, and combat discrimination. However, such analysis can also create valid concerns about differential treatment of individuals or harmful impacts on vulnerable communities. These concerns can be amplified when automated decision-making uses sensitive data (such as race, gender, or familial status), impacts protected classes, or affects individuals’ eligibility for housing, employment, or other core services. When seeking to identify harms, it is important to appreciate the context of interactions between individuals, companies, and governments—including the benefits provided by automated decision-making frameworks, and the fallibility of human decision-making.

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Financial Data Localization: Conflicts and Consequences

How has the growing trend of global financial data localization laws affected financial institutions handling difficult questions of data privacy? What have been the practical impacts of these laws? FPF addresses these questions in a new info-graphic: “Financial Data Localization: Conflicts and Consequences.”

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Roundtable Discussion: Smart Cities and Open Data (2017 MetroLab Network Annual Summit)

The Smart Cities and Open Data movements promise to use data to spark civic innovation and engagement, promote inclusivity, and transform modern communities. At the same time, advances in sensor technology, re-identification science, and Big Data analytics have challenged cities and their partners to construct effective safeguards for the collection, use, sharing, and disposal of personal information.

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John Verdi Talks Connected Devices with Fox 2 St. Louis

“What data is being transmitted and what data is being used really depends on the device,” Verdi said. “They can offload that information from the device to servers on the internet that are either controlled by the companies or third parties and there’s some processing that can happen there.”

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New Study: Companies are Increasingly Making Data Accessible to Academic Researchers, but Opportunities Exist for Greater Collaboration

Washington, DC – Today, the Future of Privacy Forum released a new study, Understanding Corporate Data Sharing Decisions: Practices, Challenges, and Opportunities for Sharing Corporate Data with Researchers. In this report, FPF reveals findings from research and interviews with experts in the academic and industry communities. Three main areas are discussed: 1) The extent to which leading companies make data available to support published research that contributes to public knowledge; 2) Why and how companies share data for academic research; and 3) The risks companies perceive to be associated with such sharing, as well as their strategies for mitigating those risks.

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FPF Comments on the FTC Informational Injury Workshop

On Friday, October 27, 2017, the Future of Privacy Forum filed comments with the Federal Trade Commission in advance of the December 12, 2017 Informational Injury Workshop. The purpose of the workshop is to examine consumer injury in the context of privacy and data security. FPF’s comments focus on describing the harms that can arise from automated decision-making as well as highlighting existing risk-based privacy analyses. 

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2nd Annual McGowan Forum on Ethics: The Challenge of Big Data

On October 26, 2017, John Verdi, FPF’s Vice President of Policy, was a panelist for the National Archives Foundation’s 2nd Annual McGowan Forum on Ethics: The Challenge of Big Data. The panel discussed the ethical responsibility of those who compile and track citizens’ personal data.  The conversation focused around what responsibility corporations and governments have to protect their customers and be transparent in regard to possible data hacks.

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FPF-CAN Speaker Series featuring Mary Madden and Michele Gilman

The FPF-Capital Area Academic Network invites you to join us for a roundtable discussion featuring Mary Madden (Researcher, Data & Society Institute) and Michele Gilman (Venable Professor of Law and Director of Clinical Education, University of Baltimore School of Law). Mary and Michele will discuss their latest research: “Privacy, Poverty and Big Data: A Matrix of Vulnerabilities for Poor Americans.”