Why employee AI adoption isn’t one-size-fits-all
Texas A&M UniversityAs artificial intelligence becomes more deeply embedded in everyday life and work, organizations are investing heavily in tools and employee training. But new research from Texas A&M University suggests a one-size-fits-all approach may miss a fundamental truth: people don’t all respond to AI the same way.
In a paper published in the journal Customer Needs and Solutions, Dr. Shrihari Sridhar, the Joe Foster ’56 Chair in Business Leadership and senior associate dean at Texas A&M University’s Mays Business School, and his co-author, Dr. Huachao Gao, say that AI adoption has often been treated as if people share a single attitude toward the technology.
Their findings suggest the opposite: people experience AI in markedly different ways depending on their individual perspectives and the context in which they’re using it — a concept they call “AI-heterogeneity.”
- Journal
- Customer Needs and Solutions