Rachel Kim
Papers
1
Total Citations
38
H-Index
1
About
Dr. Rachel Kim is a leading scholar at the intersection of artificial intelligence, robotics, and the future of work. Her research critically examines how automation and augmentation technologies reshape labor markets, organizational structures, and human roles. Her most-cited work, "Automation and Augmentation: Artificial Intelligence, Robots, and Work" (2024, 38 citations), provides a comprehensive interdisciplinary literature review that synthesizes key findings on the displacement and complementarity effects of AI and robots. Kim’s major contribution lies in clarifying the nuanced distinction between automation—where machines replace human tasks—and augmentation—where technology enhances human capabilities. She offers actionable insights for policymakers and business leaders navigating these transformations. Beyond this foundational paper, her work has been influential in shaping debates on workforce retraining and ethical AI deployment. With a growing citation footprint, Dr. Kim is recognized as a vital voice in understanding how societies can harness technological progress while mitigating its disruptive consequences. Her research continues to guide students, researchers, and practitioners seeking to build a more equitable and adaptive future of work.
Research Focus
Key Achievements
Top Papers
- 1Automation and Augmentation: Artificial Intelligence, Robots, and Work38 citations · 2024