Candidates frustrated by ghost jobs deserve a real solution, one that addresses the full complexity of what is actually happening, not just the version of the story that fits in a headline.
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.
"From my vantage point as a chief people officer at the center of AI change, one thing is clear: Scaling AI is less about deploying tools and more about building the conditions for people to use them well," writes Ana White of Lumen.
A recent study suggests that rather than asking how to get people to use AI, employers should ask how groups experience AI differently and tailor their approaches.
