Yu-Jie Chen
Papers
1
Total Citations
9
H-Index
1
About
Yu-Jie Chen’s research lies at the intersection of artificial intelligence, labor automation, and the sociology of technology, critically examining how human skill re-emerges in systems designed to replace it. In their most-cited work, “Outsourcing Artificial Intelligence: Responding to the Reassertion of the Human Element into Automation” (2022, 9 citations), Chen challenges the Silicon Valley dream of a workerless future, revealing how technological limitations in robotics and AI force a return to human labor to bridge gaps in autonomous systems. This contribution reframes automation not as a linear march toward full autonomy, but as a dynamic negotiation between machine capability and human adaptability. Chen’s analysis is notable for its incisive critique of science fiction imaginaries that shape industrial ambition, offering a grounded perspective on the persistent reliance on human expertise. With growing recognition in STS and labor studies circles, Chen’s work is essential for students and researchers seeking to understand the messy, human-centered realities behind the hype of AI-driven automation.
Research Focus
Key Achievements
Top Papers
- 1