It’s hard to audit an algorithm if you don’t understand how it thinks. But the answer isn’t always making things simpler.
Gender data can be valuable for a variety of reasons. But before you ask, consider why you’re asking, and how you frame the question.
In praise of the (occasional) face plant.
The census and COVID exposure trackers rely on deliberately noisy data as a privacy measure. Here’s how it works.
Data science grads are more qualified than ever, but they still need good mentors to apply their skills in the real world.
Need more data to train your model? Make some.
Companies use stalling tactics to keep customers from getting their money back. Bots have nothing but time.
Mental shortcuts help us navigate the world. They also make us terrible at statistics.
A new toolkit offers advice on how to center racial equity throughout the lifecycle of administrative data.
Stephen Gossett
