GovLab’s 8 Takeaways for Handling Data Responsibly

The devil's in the data. A new report from NYU Tandon's Governance Lab attempts to define guidelines for its deployment.

There’s a problem with data. Unlike empirical observations or anecdotal reporting, people tend to believe that the results of a question answered with data are incontrovertible.

It’s the phenomenon of “mathwashing” so coined by former Kickstarter data chief Fred Benenson in these very webpages of Brooklyn.

“Anything we build using data is going to reflect the biases and decisions we make when collecting that data,” Benenson explained.

Now NYU Tandon’s Governance Lab (GovLab) has come out with a new report, Mapping and Comparing Responsible Data Approaches, that has some solutions.

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