Today, workplace monitoring is nothing like a supervisor looking over our shoulder or a CCTV camera in the office. Increasingly often, it takes the form of algorithms and artificial intelligence systems that analyse efficiency, organise tasks, prepare schedules, and identify risks. Algorithmic surveillance is silent, dispersed, and often not very transparent. This poses a challenge for communication. Good communication begins with understanding the problem, translating into human language the instances as to where an algorithm acts in the process, what it measures, how the result is used, with whom it can be discussed, and how it can be appealed.