Record summary
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Risk profile
How this risk is described and categorized.
"Limited Interactions. Sometimes learning from historical interactions with the relevant agents may not be possible, or may be possible using only limited interactions. In such cases, some other form of information exchange is required for agents to be able to reliably coordinate their actions, such as via communication (Crawford & Sobel, 1982; Farrell & Rabin, 1996a) or a correlation device (Aumann, 1974, 1987). While advances in language modelling mean that there are likely to be fewer settings in which the inability of advanced AI systems to communicate leads to miscoordination, situations that require split-second decisions or where communication is too costly could still produce failures. In these settings, AI agents must solve the problem of ‘zero-shot’ (or, more generally, ‘few-shot’) coordination (Emmons et al., 2022; Hu et al., 2020; Stone et al., 2010; Treutlein et al., 2021; Zhu et al., 2021)."
Suggested mitigations
Defenses that may help with related attacks.
Source
Research source for this risk, when available.
Included resource
Multi-Agent Risks from Advanced AI
Original source
MIT AI Risk Repository
Open the public repository used for AI risk records and taxonomy fields.
