MIT AI Risk Repository · Risk Sub-Category · 61.02.42

Risks from network interconnectivity

Category: Sources of systemic risks from general-purpose AI

Description

"The interconnectedness of AI networks can create vulnerabilities, where issues in one part of the network can have cascading effects across the system."

From A Taxonomy of Systemic Risks from General-Purpose AI (Uuk2025), as extracted by the MIT AI Risk Repository (CC BY 4.0).

Classification

Causal entity
Other
Intent
Other
Timing
Other

Subdomain definition: Vulnerabilities in AI systems, software development toolchains, and hardware that can be exploited, resulting in unauthorized access, data and privacy breaches, or system manipulation causing unsafe outputs or behavior.

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How other frameworks describe this risk

Other entries from Uuk2025