Collection
Share:

New Programming Language Removes Human Error from Privacy Equation

MIT Technology Review: “Anytime you hear about Facebook inadvertently making your location public, or revealing who is stalking your profile, it’s likely because a programmer added code that inadvertently led to a bug.
But what if there was a system in place that could substantially reduce such privacy breaches and effectively remove human error from the equation?
One MIT PhD thinks she has the answer, and its name is Jeeves.
This past month, Jean Yang released an open-source Python version of “Jeeves,” a programming language with built-in privacy features that free programmers from having to provide on-the-go ad-hoc maintenance of privacy settings.
Given that somewhere between 10 and 20 percent of all code is related to privacy policy, Yang thinks that Jeeves will be an attractive option for social app developers who are looking to be more efficient in their use of programmer resources – as well as those who are hoping to assuage users’ privacy concerns about if and how they use your data.
For more information about Jeeves visit the project site.
For more information on Yang visit her CSAIL page.”

Share
How to contribute:

Did you come across – or create – a compelling project/report/book/app at the leading edge of innovation in governance?

Share it with us at info@thelivinglib.org so that we can add it to the Collection!

About the author

Get the latest news right in you inbox

Subscribe to curated findings and actionable knowledge from The Living Library, delivered to your inbox every Friday

Related articles

Get the latest news right in you inbox

Subscribe to curated findings and actionable knowledge from The Living Library, delivered to your inbox every Friday