MIT AI Risk Repository · Risk Category · 47.01.00

Technical and operational risks

Description

"To date, technical limitations and vulnerabilities are present in most generative AI models in various contexts. Consequently, malicious users find it easier to breach an AI system’s safety and ethical guardrails to execute harmful actions.223 Normal user behavior—actions within an AI system’s intended use—can also lead to harmful outcomes. Whether these harmful outcomes result from normal or malicious use, they stem from the inherent limitations of current technology, which future advancements may overcome. This section examines the technical vulnerabilities that can affect AI models

From Regulating under Uncertainty: Governance Options for Generative AI (G'sell2024), as extracted by the MIT AI Risk Repository (CC BY 4.0).

Classification

Causal entity
AI
Timing
Other

Subdomain definition: AI systems that fail to perform reliably or effectively under varying conditions, exposing them to errors and failures that can have significant consequences, especially in critical applications or areas that require moral reasoning.

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