by
New research reveals that work experience has a significant impact on how employees interact with AI. Employees with more experience with a particular task will benefit more from AI, but senior employees will be less likely to trust her AI due to concerns about its imperfections. The findings highlight the need for customized strategies when integrating AI into the workplace to enhance human-AI teamwork.
New research sheds light on the complex aspects of human-AI interaction and reveals some surprising trends. Artificial intelligence systems tend to benefit younger employees, but not for the reasons you might expect.
New research published in INFORMS journal Business Administration provides valuable insights to business leaders about the impact of work experience on employees’ interactions with artificial intelligence.
In this study, two main forms of human work experience—narrow experience defined by the amount of specific tasks and broad experience characterized by overall seniority—were used to examine the dynamics within human-AI teams. We are investigating the impact on
Surprising findings from medical record coding research
“We developed an AI solution for medical record coding at a publicly traded company and conducted field research with knowledge workers,” says Weiguang Wang of the University of Rochester. “We were surprised by what we found in our research: Different dimensions of work experience clearly interact with AI and play a unique role in human-AI teaming.”
“While some might think that less experienced workers should benefit more from the help of AI, we find the opposite, that AI benefits workers with more task-based experience. At the same time, even though senior employees have more experience, they gain less from AI than junior employees,” said Guodong (Gordon) Gao, Johns Hopkins Carey School of Business. says.
Seniority and AI trust dilemma
Further research revealed that the relatively low productivity gains from AI were not the result of seniority per se, but rather a high sensitivity to imperfections in AI, which led to a decline in trust in AI. .
“This finding presents a dilemma: Experienced employees are well-positioned to leverage AI for productivity, but senior employees who take on greater responsibility and care about their organization They tend to avoid AI because they are aware of the risks of relying on it.” Aid. As a result, they are not using AI effectively,” said study co-author Ritu Agarwal of the Johns Hopkins Carey School of Business.
The researchers urge employers to carefully consider the types and levels of experience of different workers when implementing AI into jobs. New employees with little work experience are at a disadvantage when it comes to utilizing her AI. On the other hand, senior employees with more experience in an organization may be concerned about the potential risks posed by AI. Addressing these unique challenges is key to productive human-AI teaming.
Reference: “Friend or enemy? Artificial Intelligence and Teaming Workers with Different Experiences” Weiguang Wang, Guodong (Gordon) Gao, Ritu Agarwal, October 11, 2023. Business Administration.
DOI: 10.1287/mnsc.2021.00588
Source: scitechdaily.com
