Katherine Ciarlante
Papers
2
Total Citations
12
H-Index
2
About
Katherine Ciarlante is an emerging researcher whose work sits at the intersection of technology, labor economics, and social inequality. Her most notable contribution examines a compelling and counterintuitive question: do individuals living in more unequal societies perceive artificial intelligence and robotics as greater threats to employment? Drawing on data from the Eurobarometer survey, Ciarlante and her colleagues explore how societal-level inequality shapes public attitudes toward advanced technologies, contributing important empirical grounding to debates that often remain theoretical. This research challenges the conventional framing of AI and robots purely as *causes* of inequality by investigating how existing inequality influences the way people *perceive* technological risk to the workforce. With 12 citations across her primary publication and its supplemental materials, her work has begun attracting attention within the growing interdisciplinary field studying the human dimensions of automation. Ciarlante's research speaks directly to policymakers, economists, and social scientists grappling with how to communicate technological change responsibly across diverse societies — making her a voice worth following as automation continues to reshape global labor markets.
Research Focus
Key Achievements
Top Papers
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