The AI knowledge trap: How artificial intelligence can cause businesses to lose their knowledge
A new ASU study warns that over-reliance on AI can erode human expertise, ultimately degrading AI quality.
Isys Morrow
In this article published February 26, 2026, on Digital Information World:
Machine learning models are based on historical training data and therefore become outdated when the reality they represent changes. The need to update these models and the resulting cycle of "use and repair" poses risks for companies. The long-term successful use of AI can only be achieved if companies simultaneously preserve human expertise.
— Donald Lange, professor of management and entrepreneurship
Latest news
- Prices go up while wages go down for Arizonans, according to figures
An ASU economist discusses how rising prices, wage stagnation, and broader economic pressures…
- Chemonics and ASU proved the supply chain talent was already there
A global learning model shows how employers can expand workforce capability through accredited…
- 46 firms accounted for half the wealth generated by the stock market over the past 100 years, researchers say
An ASU finance expert shares insights with CNBC Make It on the long-term concentration of stock…