We live in an era of increasing automation. Machines help us not only with manual labor but also with intellectual tasks, such as curating the news we read and calculating the best driving directions. But as machines make more decisions for us, it is increasingly important to understand the algorithms that produce their judgments.
We’ve spent the year investigating algorithms, from how they’ve been used to predict future criminals to Amazon’s use of them to advantage itself over competitors.
All too often, these algorithms are a black box: It’s impossible for outsiders to know what’s going inside them. Today we’re launching a series of experiments to help give you the power to see inside.
In reality, people are not as predictable as data collectors hope. We never fit neatly into buckets conforming to their expected market segments.
We’ve spent the year investigating algorithms, from how they’ve been used to predict future criminals to Amazon’s use of them to advantage itself over competitors.
All too often, these algorithms are a black box: It’s impossible for outsiders to know what’s going inside them. Today we’re launching a series of experiments to help give you the power to see inside.
Read it all here.
Note the Chrome plugin is gone.
