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Computational Privacy: On the privacy-conscientious use of metadata

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If you have a question about this talk, please contact Eiko Yoneki .

We’re living in an age of big data, a time when most of our movements and actions are collected and stored in real time. Metadata datasets of human behavior dramatically increase our capacity to measure, understand, and potentially affect the behavior of individuals and collectives.

The use of this data, however, also raise legitimate privacy concerns. In this talk, I will first show that the mere absence of obvious identifiers such as name or phone number is often not enough to prevent metadata from being re-identified. I will then discuss how, as the use of this data progress, it will become increasingly important to consider whether sensitive information can be inferred from apparently innocuous data. Finally, I will discuss the impact of metadata on society and some of solutions we have been developing to allow metadata to be used in a privacy-conscientious way.

This talk is part of the Computer Laboratory Systems Research Group Seminar series.

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