Organizations using AI to monitor employees' behavior and productivity can expect them to complain more, be less productive and want to quit more -- unless the technology can be framed as supporting their development, research finds.
Organizations using AI to monitor employees' behavior and productivity can expect them to complain more, be less productive and want to quit more -- unless the technology can be framed as supporting their development, research finds.
"When artificial intelligence and other advanced technologies are implemented for developmental purposes, people like that they can learn from it and improve their performance," said Emily Zitek, associate professor of organizational behavior."The problem occurs when they feel like an evaluation is happening automatically, straight from the data, and they're not able to contextualize it in any way.
A pair of studies asked participants to work as a group to brainstorm ideas for a theme park, then to individually generate ideas about one segment of the park. They were told their work would be monitored by a research assistant or AI -- the latter represented in Zoom videoconferences as"AI Technology Feed." After several minutes, either the human assistant or"AI" relayed messages that the participants weren't coming up with enough ideas and should try harder.
In a fourth study, participants imagining they worked in a call center were told that humans or AI would analyze a sample of their calls. For some, the analysis would be used to evaluate their performance; for others, to provide developmental feedback. In the developmental scenario, participants no longer perceived algorithmic surveillance as infringing more on their autonomy and did not report a greater intention to quit.
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