Darryl Farber

Papers

Total Citations

442

H-Index

About

Darryl Farber is a leading voice at the intersection of artificial intelligence, systemic risk, and sustainability. His most-cited work, "Artificial intelligence, systemic risks, and sustainability" (2021, 442 citations), fundamentally reframes how we understand the cascading dangers of AI-driven decision-making in an era of rapid technological change. Farber demonstrates that the convergence of automated analytics, sensor networks, and robotics is reshaping how individuals, communities, and governments perceive and respond to climate and ecological crises. His research reveals that these technologies, while promising, can amplify systemic vulnerabilities—creating feedback loops that may accelerate environmental degradation rather than mitigate it. By mapping the hidden pathways through which AI influences risk perception and collective action, Farber has provided a critical framework for policymakers and technologists. His work challenges the field to move beyond narrow optimization metrics and consider the broader, often unintended, consequences of deploying intelligent systems at scale. For students and researchers, Farber’s scholarship is essential reading for anyone seeking to build AI that truly serves long-term ecological and societal resilience.