A new study management area It provides business leaders with insights into how work experience impacts employees interacting with AI. The study, ‘Friend or Foe? Artificial Intelligence and Bringing Together Workers with Different Experiences’ examines the impact of two main types of human work experience (narrow specialization based on specific task scope and broad specialization based on seniority) on human-AI team dynamics.

“We developed an AI solution for coding medical records at a publicly traded company and conducted a field study among smart employees,” says Weiguan Wang of the University of Rochester, lead author of the study. “We were surprised by what we found during the research. Different dimensions of the work experience have clear interactions with AI and play a unique role in the human-AI team.”

“One might think that less experienced workers would benefit more from AI assistance, but we found the opposite: AI benefits workers with more experience in tasks. At the same time, older workers benefit less from AI despite having more experience. Johns Hopkins “better than their younger counterparts,” says Guodong (Gordon) Gao of Carey Business School and co-author of the study.

Further research suggests that the relatively low productivity gains from AI are not a result of seniority per se, but rather greater susceptibility to AI flaws, which in turn reduces their trust in AI.

“This finding creates a dilemma: Workers with more experience have better potential to use AI to increase productivity, but older workers who take on more responsibility and care about organization tend to stay away from AI because they see the risks of relying on AI.” intelligence. As a result, they use AI inefficiently,” says Ritu Agarwal of Johns Hopkins Carey Business School, who co-authored the study.

Researchers urge employers to carefully consider different types and levels of employee experience when implementing AI in the workplace. New employees with less experience performing tasks are at a disadvantage when using AI. Meanwhile, older workers with more corporate experience may be concerned about potential risks associated with AI. Overcoming these unique challenges is key to a productive human-AI team. Source