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AI Risk

Bargaining

"Bargaining. As a classic example of these strategic considerations is that when agents attempt to come to an agreement despite diverging interests, information asymmetries can lead to bargaining inef- ficiencies (Myerson & Satterthwaite, 1983). Relevant uncertainties about other agents can include how much they value possible agreements, their outside options, or their beliefs about others. The essential reason f...

AI Risk7. AI System Safety, Failures, & Limitations7.6 > Multi-agent risks2 - Post-deployment

Record summary

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Techniques0Attack methods connected to this risk.
Mitigations0Defenses that may help with related attacks.
Domain7. AI System Safety, Failures, & LimitationsThe broad risk area this belongs to.

Risk profile

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"Bargaining. As a classic example of these strategic considerations is that when agents attempt to come to an agreement despite diverging interests, information asymmetries can lead to bargaining inef- ficiencies (Myerson & Satterthwaite, 1983). Relevant uncertainties about other agents can include how much they value possible agreements, their outside options, or their beliefs about others. The essential reason for such inefficiencies is that, under uncertainty about their counterparties, agents must make a trade-off between the rewards of making more favourable demands and the risk of other agents refusing such demands"

Domain7. AI System Safety, Failures, & Limitations
Subdomain7.6 > Multi-agent risks
Entity2 - AI
Intent2 - Unintentional
Timing2 - Post-deployment
CategoryInformation Asymmetries
SubcategoryBargaining

Suggested mitigations

Defenses that may help with related attacks.

No propagated mitigations. No defense is available through the connected attack methods.

Source

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