Papers

2

Total Citations

67

H-Index

2

About

Jurgis Karpus is a researcher at the intersection of behavioral science, artificial intelligence, and collective intelligence. His work explores how humans cooperate with AI systems, revealing that our cooperative instincts—strong with other people—weaken when interacting with benevolent AI. His most-cited paper, "Algorithm exploitation: Humans are keen to exploit benevolent AI" (2021, 65 citations), demonstrates through nine experiments that people are more willing to exploit cooperative AI than human partners, raising critical ethical questions for AI design and human-AI collaboration. Karpus also contributes to the emerging field of collective intelligence with his work "EMERGE - Emergent Awareness from Minimal Collectives" (2024), investigating how minimal groups of agents can develop coordinated awareness. His research has significant implications for developing trustworthy AI systems and understanding human cooperation in increasingly automated societies. By bridging behavioral economics, cognitive science, and AI ethics, Karpus provides essential insights into the psychological dynamics that will shape our future with intelligent machines.

Research Focus

Key Achievements

2
H-Index
2
Papers
67
Total Citations
34
Avg Citations/Paper
🏆 Most Cited Paper
Algorithm exploitation: Humans are keen to exploit benevolent AI
65 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 23
🏛 Institutions: Munich School of Philosophy, Ludwig-Maximilians-Universität München

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago