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Credible commitment devices have been a popular approach for robustmulti-agent coordination. However, existing commitment mechanisms facelimitations like privacy, integrity, and susceptibility to mediator or userstrategic behavior. It is unclear if the cooperative AI techniques we study arerobust to real-world incentives and attack vectors. However, decentralizedcommitment devices that utilize cryptography have been deployed in the wild,and numerous studies have shown their ability to coordinate algorithmic agentsfacing adversarial opponents with significant economic incentives, currently inthe order of several million to billions of dollars. In this paper, we useexamples in the decentralization and, in particular, Maximal Extractable Value(MEV) (arXiv:1904.05234) literature to illustrate the potential security issuesin cooperative AI. We call for expanded research into decentralized commitmentsto advance cooperative AI capabilities for secure coordination in openenvironments and empirical testing frameworks to evaluate multi-agentcoordination ability given real-world commitment constraints.

Cooperative AI via Decentralized Commitment Devices