Paul Larcey

Papers

Total Citations

442

H-Index

About

Paul Larcey is a leading voice at the intersection of artificial intelligence, systemic risk, and environmental sustainability. His most-cited work, "Artificial intelligence, systemic risks, and sustainability" (2021, 442 citations), fundamentally reframes how we understand the role of AI in addressing—and potentially exacerbating—global ecological challenges. Larcey argues that the rapid integration of automated decision-making, predictive analytics, sensor technology, and robotics is reshaping how individuals, communities, governments, and private actors perceive and respond to climate and ecological crises. Rather than viewing AI as a neutral tool, his research critically examines how these technologies can introduce new systemic vulnerabilities while also offering unprecedented opportunities for sustainability. Larcey’s contributions have been instrumental in bridging the gap between technical AI development and policy-oriented risk assessment, making his work essential reading for researchers in environmental science, computer science, and governance. His scholarship stands out for its interdisciplinary rigor and timely relevance, establishing him as a key thinker in the urgent conversation about technology’s role in our planetary future.