While companies are diving in full on to adopt AI, workers are a bit slower in taking up the cause, and the result will be telling.

A study from Princeton University and the University of Chicago found that large language models can develop new stereotypes during repeated hiring decision-making, even when the groups have no underlying differences. "In this paper, we argue that removing existing biases is only one aspect of the problem," the authors wrote. "Like people, LLMs can also […]

An internal document advises some job applicants on sidestepping AI screening tools, highlighting ongoing trust issues between employees and employers over AI-powered hiring processes.