Noopur Raval
Papers
1
Total Citations
9
H-Index
1
About
Noopur Raval is a leading scholar at the intersection of artificial intelligence, labor, and automation, whose work critically examines the hidden human labor powering modern AI systems. Her research focuses on the sociotechnical dynamics of platform labor, data annotation, and the reassertion of human work in supposedly autonomous systems. Raval’s most-cited paper, “Outsourcing Artificial Intelligence: Responding to the Reassertion of the Human Element into Automation” (2022, 9 citations), challenges techno-utopian narratives by revealing how Silicon Valley’s vision of a workerless future consistently collides with technological limitations, forcing a reliance on human skills to fill gaps in automation. This work has been pivotal in reframing debates around AI ethics, highlighting the often-invisible gig workers who train and maintain algorithms. Raval’s contributions have shaped critical conversations in human-computer interaction and science and technology studies, earning her recognition as a key voice on the political economy of AI. Her research continues to influence how scholars and practitioners understand the real-world costs of automation, making her a vital thinker for students and researchers exploring the human dimensions of emerging technologies.
Research Focus
Key Achievements
Top Papers
- 1