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AI Risk

Conflict

"In the vast majority of real-world strategic interactions, agents’ objectives are neither identical nor completely opposed. Indeed, if AI agents are sufficiently aligned to their users or deployers, we should expect some degree of both cooperation and competition, mirroring human society. These mixed-motive settings include the possibility of mutual gains, but also the risk of conflict due to selfish incentives...

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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"In the vast majority of real-world strategic interactions, agents’ objectives are neither identical nor completely opposed. Indeed, if AI agents are sufficiently aligned to their users or deployers, we should expect some degree of both cooperation and competition, mirroring human society. These mixed-motive settings include the possibility of mutual gains, but also the risk of conflict due to selfish incentives. In what follows, we examine the extent to which advanced AI might precipitate or exacerbate such risks."

Domain7. AI System Safety, Failures, & Limitations
Subdomain7.6 > Multi-agent risks
Entity2 - AI
Intent3 - Other
Timing2 - Post-deployment
CategoryConflict
Subcategoryn/a

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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