Kaydedildi:
| Yazar: | |
|---|---|
| Materyal Türü: | Recurso digital |
| Dil: | İngilizce |
| Baskı/Yayın Bilgisi: |
Zenodo
2025
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| Konular: | |
| Online Erişim: | https://doi.org/10.5281/zenodo.15656504 |
| Etiketler: |
Etiketle
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İçindekiler:
- <p>The ethical challenges of AI in society emerge not only from the design of individual AI</p> <p>systems but also from “emergent dilemmas” that arise through the interactions among multi-</p> <p>ple AI agents. In response, this study proposes a new framework—the AI Ethics Digital Twin</p> <p>(AEDT)—that reconceptualizes ethics not as fixed norms to be embedded, but as evolving con-</p> <p>structs that can be guided and shaped through institutional design and evolutionary processes.</p> <p>Integrating evolutionary game theory, multi-agent simulation, and mechanism design, we</p> <p>conduct a proof-of-concept (PoC) experiment comparing three institutional strategies—coercive,</p> <p>tolerance-based, and incentive-driven—regarding resource harvesting behaviors among AI agents.</p> <p>Our results demonstrate that even under initially unethical conditions, cooperation can evolve</p> <p>and stabilize through appropriate combinations of rewards, penalties, and imitation. Further-</p> <p>more, we show that institutional design significantly affects sustainability, efficiency, and fairness</p> <p>in collective outcomes.</p> <p>This research presents AEDT as a constructive and experimental framework for exploring</p> <p>the co-evolution of ethics and institutional design, offering both theoretical and practical con-</p> <p>tributions to the development of future AI governance.</p> <p>Keywords: AI ethics, multi-agent simulation, evolutionary game theory, mechanism design,</p> <p>institutional governance, digital twin</p>