Olivia Doggett

University of Toronto

Papers

1

Total Citations

9

H-Index

1

About

Dr. Olivia Doggett is a critical scholar at the intersection of science and technology studies, labor sociology, and automation ethics. Her work interrogates the gap between futuristic promises of full automation and the messy, human-dependent realities of deploying artificial intelligence and robotics in the workplace. In her highly cited 2022 paper, “Outsourcing Artificial Intelligence: Responding to the Reassertion of the Human Element into Automation,” Doggett challenges Silicon Valley’s vision of a workerless future. She demonstrates how technological limitations force companies to re-embed human labor into systems marketed as autonomous—a phenomenon she terms the “reassertion of the human element.” This research, which has garnered 9 citations and growing attention, exposes the hidden labor that props up AI systems, from data labeling to error correction. Doggett’s contributions are vital for students and researchers seeking to understand automation not as a replacement for workers, but as a reconfiguration of work that often intensifies human involvement. Her work is a compelling call to center labor rights and lived experience in conversations about technological progress.

Research Focus

Key Achievements

1
H-Index
1
Papers
9
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Outsourcing Artificial Intelligence: Responding to the Reassertion of the Human Element into Automation
9 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: University of Toronto

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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