Trust the System: Democratic Capacities in the Algorithmic Workplace (Part II)
Picture a modern, high-tech warehouse. Here, human managers occupy a sort of fallback position: They still exist and still play a kind of supervisory role, but workers receive direction and have their performance monitored through the devices with which they interact. This is algorithmic management, and it can be extremely efficient because a complex software algorithm can direct workers more minutely than even the most micromanaging supervisor. A packer in such a warehouse will find themselves at a workstation with a screen and a scanning gun: They scan a package, the screen tells them exactly how to pack it, and a machine spits out pieces of tape of the right length. Precisely how long this operation takes is fed into a monitoring and evaluation algorithm, which will calculate whether they are meeting the rate: the desired, often extremely intense, work rate. If they fall below the rate, they will get a warning and sometimes a visit from a manager following the output of their own algorithm: Go and exhort that packer to pack faster. At …









