Organizational ethnographer Matt Beane posits that artificial intelligence compromises learning for students in advanced fields. Traditional on-the-job learning involves observing an expert at work, perfecting the skills observed through practice and imparting those skills to others. However, as robots perform more of the skilled aspects of specialized work, students struggle to access the hands-on experience they need. Educators in all fields will appreciate Beane’s suggestion to refocus AI to support on-the-job learning.
In this summary, you will learn
- How artificial intelligence has compromised on-the-job learning,
- How some employees have overcome this obstacle and
- Why organizations must improve how they incorporate AI into their traditional on-the-job learning experiences.
About the Speaker
Matt Beane is an assistant professor of technology management at the University of California, Santa Barbara.