Record summary
A quick snapshot of what this page covers.
Risk profile
How this risk is described and categorized.
"An AI system can self-proliferate if it can copy itself and its constituent com- ponents (including its model weights, scaffolding structure, etc.) outside of its local environment [45]. This can include the AI system copying itself within the same data center, local network, or across external networks [106]. The self-proliferation of an AI system can include acquisition of financial re- sources to pay for computational resources via work or theft, the discovery or exploitation of security vulnerabilities in software running on publicly accessible servers, and persuasion of humans [12, 125]. Self-proliferation may be initiated by a malicious actor (e.g., by model poison- ing), or by the model itself."
Suggested mitigations
Defenses that may help with related attacks.
Source
Research source for this risk, when available.
Included resource
Risk Sources and Risk Management Measures in Support of Standards for General-Purpose AI Systems
Original source
MIT AI Risk Repository
Open the public repository used for AI risk records and taxonomy fields.
