Christopher Bonenberger
Papers
2
Total Citations
9
H-Index
2
About
Christopher Bonenberger is a researcher focused on the intersection of artificial intelligence, automation, and sustainability. His key research areas include the environmental and social impacts of AI-driven technologies, particularly the phenomenon of rebound effects in both private life and industry. Bonenberger’s major contribution lies in identifying and analyzing how time and energy saved through automation—such as smart service robots handling household chores—can paradoxically lead to increased resource consumption, undermining efficiency gains. His most-cited work, “Rebound Effects Caused by Artificial Intelligence and Automation in Private Life and Industry” (2025), has garnered 7 citations, with an earlier 2024 version adding 2 more, highlighting growing interest in this critical issue. By bridging behavioral economics and technology assessment, Bonenberger offers a nuanced perspective on the hidden costs of convenience, making his research essential for policymakers and engineers designing sustainable automation. His work is particularly notable for its forward-looking focus on near-future scenarios, where widespread adoption of AI could amplify these rebound effects. For students and researchers, Bonenberger’s studies serve as a vital reminder that technological progress must be paired with systemic thinking to avoid unintended environmental consequences.
Research Focus
Key Achievements
Top Papers
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